Data science internship jobs in Irondequoit, NY - 37 jobs

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Analyse and identify the linkages and interactions between the component parts of an entire system. * Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. * Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. * Develop skills outside your comfort zone, and encourage others to do the same. * Effectively mentor others. * Use the review of work as an opportunity to deepen the expertise of team members. * Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: * Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients * Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach * Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases * Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds * Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases * Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; * Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; * Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; * Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps * Structuring, write, communicate and facilitate client presentations; and, * Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: * Managing GenAI application development teams including back-end and front-end integrations * Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); * Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization * Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev * Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms * Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on January 31, 2026 Work You'll Do Client Engagement & Solution Scoping * Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. * Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). * Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. * Solution Architecture & Design * Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). * Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). * Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization * Lead model fine-tuning, prompt engineering, and customization for client-specific needs. * Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. * Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management * Manage solution rollout, including cloud setup, configuration, and production deployment. * Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance * Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. * Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication * Prepare executive-level reports, dashboards, and demos to summarize progress and impact. * Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership * Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. * Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. * 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. * Independent thinker who can create the vision and execute on transforming data into high end client products. * Demonstrated accomplishments in the following areas: * Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). * Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). * Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. * Knowledge of solution architecture, risk assessment, and mapping technology to business goals. * Familiarity with agile methodologies and iterative delivery. * Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. * Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve * Limited immigration sponsorship may be available. Preferred: * Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. * Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see ************************* for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Requisition code: 316523 Job ID 316523

As an Advanced Data Scientist here at Honeywell, you will be responsible for providing technical insight and acting as the subject matter expert in machine learning, statistical modeling, and data analysis projects. You will work closely with leadership to translate business needs into data science solutions. You will be responsible for contributing to the continuous improvement of methodologies and explore new approaches to enhance analytical capabilities. In this role, you will impact the business by applying your expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions. You will manage end-to-end data science projects, ensuring alignment with business objectives and the successful delivery of actionable insights. Additionally, you will provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team culture. Key Responsibilities * Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques. * Interact with 3rd parties to evaluate integration feasibility and licensing of technologies and analytic components * Design, prototyping, and implementation of new data-centric solutions * Effectively communicate and collaborate with local teams, international teams, and 3rd parties * Contribute to build versus buy decisions * Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life * Self-starter that can take minimal direction and deliver results * Curious problem solver YOU MUST HAVE * Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics. * BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.) * At least 5 years of experience in modern advanced analytical tools and programming languages, including Python. * Proficiency with exploratory data analysis * Proficiency with ETL operations sourcing data from SQL, REST APIs, and flat files * Experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc. * At least 5 years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C or C# * Comfortable in Windows and Linux environments WE VALUE * BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.) * Experience in building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks * Experience in various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications * Experience in building predictive and decision-making AI applications. * Experience using cloud services from AWS, Azure, or GCP to develop solutions. * Experience in computer vision and image/video analysis, including object detection, recognition, tracking, and identification * Experience with application of data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural networks, SVMs, anomaly detection, recommender systems, pattern discovery, and text mining * Problem Solving: Ability to solve problems using analytical thinking, reconciling viewpoints, and evaluating technologies. * Communication: Demonstrates effective verbal and written communication skills when explaining complex technical issues to both technical and non-technical audiences * Continuous learning mindset The annual base salary range for this position is $124,000 - $155,000. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations. In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 1/14/2026

As an Advanced Data Scientist here at Honeywell, you will be responsible for providing technical insight and acting as the subject matter expert in machine learning, statistical modeling, and data analysis projects. You will work closely with leadership to translate business needs into data science solutions. You will be responsible for contributing to the continuous improvement of methodologies and explore new approaches to enhance analytical capabilities. In this role, you will impact the business by applying your expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions. You will manage end-to-end data science projects, ensuring alignment with business objectives and the successful delivery of actionable insights. Additionally, you will provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team culture. YOU MUST HAVE Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics. BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.) At least 5 years of experience in modern advanced analytical tools and programming languages, including Python. Proficiency with exploratory data analysis Proficiency with ETL operations sourcing data from SQL, REST APIs, and flat files Experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc. At least 5 years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C or C# Comfortable in Windows and Linux environments WE VALUE BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.) Experience in building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks Experience in various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications Experience in building predictive and decision-making AI applications. Experience using cloud services from AWS, Azure, or GCP to develop solutions. Experience in computer vision and image/video analysis, including object detection, recognition, tracking, and identification Experience with application of data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural networks, SVMs, anomaly detection, recommender systems, pattern discovery, and text mining Problem Solving: Ability to solve problems using analytical thinking, reconciling viewpoints, and evaluating technologies. Communication: Demonstrates effective verbal and written communication skills when explaining complex technical issues to both technical and non-technical audiences Continuous learning mindset The annual base salary range for this position is $124,000 - $155,000. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations. In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 1/14/2026 Key Responsibilities Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques. Interact with 3 rd parties to evaluate integration feasibility and licensing of technologies and analytic components Design, prototyping, and implementation of new data-centric solutions Effectively communicate and collaborate with local teams, international teams, and 3 rd parties Contribute to build versus buy decisions Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life Self-starter that can take minimal direction and deliver results Curious problem solver

The Data Warehouse team operates at the intersection of data analytics, data engineering, and business intelligence. We build robust, efficient, and scalable data structures to support high-quality, nuanced, and timely data analytics to empower strategic decisions and policies by leadership and stakeholders. The Data Warehouse Analyst plays a critical role in ensuring data-driven decision making by working closely in collaboration with team leads, development teams and stakeholders as designated to support design, development and rollout of data warehouse projects. This individual serves as a bridge between the data warehouse development team and users through the development lifecycle. They develop data warehouse and integration specifications and design documentation based on user input. They create testing strategies with input from other team members and users. Responsibilities + Business Needs Analysis: Conduct in-depth analysis of business requirements to identify data and integration requirements specifications + Data Modeling: Design and implement robust data models, including dimensional and snowflake models, to ensure optimal data organization and accessibility. + Data Quality Assurance: Implement data quality checks and validation processes to ensure data accuracy, completeness, and consistency. + Testing and Validation: Coordinate test plans, develop test cases, and execute system testing to ensure that the data warehouse meets project requirements and delivers accurate results. + Documentation: Create and maintain comprehensive documentation, including data dictionaries, technical specifications, and training materials. + Collaboration: Work closely with cross-functional teams, including data scientists, technical data analysts, and users, to understand their data requirements and provide effective solutions. + Continuous Improvement: Stay updated on industry trends and best practices to identify opportunities for process improvement and technological advancements. Knowledge & Experience + Education: A Bachelor's or Master's degree in computer science, data science, or a related field is required. + 2 years of relevant experience required or equivalent combination of education and experience + Proficiency in SQL required + Strong analytic, qualitative and quantitative data analysis skills, with demonstrated ability to break down complex problems into phased deliverables required + Strong communication and interpersonal skills required + Ability to work independently and as part of a team required Additional Skills & Qualifications Additional Skills (Preferred) + Strong understanding of data warehousing concepts, including dimensional modeling, ETL processes, and data quality preferred + Knowledge of data visualization tools (e.g., Tableau, Power BI) preferred + Experience with data mining and machine learning techniques preferred + Experience with data warehousing ETL tools (e.g., Informatica, Talend) a plus Job Type & Location This is a Contract position based out of Rochester, NY. Pay and Benefits The pay range for this position is $40.00 - $45.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Rochester,NY. Application Deadline This position is anticipated to close on Jan 28, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

SQL Data Analyst Endeavor Streaming, part of Endeavor, is building the worlds most advanced content distribution platform for Content Creators, Global Brands, TV Broadcasters and Sports Federations. Role: SQL / Data warehouse (Redshift) / AWS experience required for this. Opportunity: You will assist in the management and growth of a large-scale data solution enabling TV everywhere with a worldwide leader specializing in digital video broadcasting, distribution, and monetization. You will build and manage solutions and processes that will grow and solve critical business needs. You will learn and implement new business processes and automate them with today's and tomorrow's technologies. You will be exposed to many exciting projects that will broaden your industry experience and continuously enhance your skills with new challenges. Responsibilities: Analyze and interpret complex data, patterns and processes Provide analysis, reports, dashboards, and insight of data supporting existing and new initiatives. Work with a team to define and implement solutions allowing the visibility of data and insight for use at the business level Manage, maintain, and report on the daily results of daily data jobs and processes both internally and externally Provide Root Cause Analysis and related documentation and communications of data issues and the data solutions we provide. Work with external clients and internal finance department on the delivery of data and reports. Skills: Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Quantitively-oriented degree, or a related field 3+ years as a data analyst or similar role. Must have a high degree of initiative and strong analytical skills Must have advanced skills in report development, SQL queries, views, functions, and stored procedures. Must have experience with relational databases, data lakes, data warehouses such as Redshift, and ETL/ELT data pipelines Proficiency with SQL and relational database concepts Must have experience working with AWS related technologies Must have experience working with an off-the-shelf Business Intelligence Dashboard product. Experience in meeting directly with business managers and their teams without direct support from their manager

The Healthcare Data Analyst is responsible for analytics, financial analysis and claims auditing. This candidate will reside within the Analytics and Reporting department and will work closely with other members of the Clinical, Medical and Network teams to design and analyze operational and claims data. This person will also present results to internal stakeholders, existing and future clients. Additionally, the ideal candidate will serve as a leader in defining and prioritizing the strategic and tactical tasks surrounding future data intelligence. Essential Functions Analyze business intelligence data to inform business and product decisions, blending historical results, available industry reports, purchased sources and public information as input to analyses Identify areas for increased clinical focus and review/assess associated action plans Maintain provider rate information and assess overall cost impact of proposed changes Support claims audit processes and procedures to ensure the fidelity of claims processing Conduct on-going refinement of the risk stratification surrounding claims processing Design, develop, interpret and present key internal business operational metrics reporting, serving as an ongoing voice for improving and increasing data intelligence leading to operational improvements Contribute to the identification and prioritization of improved reporting processes and procedures Provide on-going analysis and recommendations for improvement of operations and clinical interventions Provide direction in preparing and/or reviewing reports for publication. Assist with planning tactical goals to achieve major improvements in data analytics capabilities over time Adheres to our Mission Statement, Core Values, Code of Business Conduct and Compliance Program Complies with all Federal and applicable State laws and policies regarding privacy, confidentiality and security of health information and other designated information EDUCATION & EXPERIENCE Required Bachelor's Degree in Computer ScienceInformation Technology, MathematicsStatistics, Business or other relevant field At least three years of experience analyzing healthcare data. Preferably from a payer setting Understanding business impact is critical to improving our internal processes and seeking to maximize the ROI Prior experience producing reporting and providing analysis to organizational leadership Ability to work in a fast-paced, collaborative team environment Self-starter and may mentor/train other department members Strong communications skills Ability to work well both independently and as part of a multi-functional team, including technical, financial, administrative and clinical associates Strong knowledge of analytic, technical and reporting tools. Tableau and SQL experience preferred Advanced proficiency with Microsoft Word, Excel and PowerPoint production.

The primary responsibility of the Data Analyst is to collaborate with leadership to identify opportunities for improvement through interpretation of various information across the facility. They will be responsible for keeping the vitals of the business up to date and presentable. Their goal will be to continuously identify areas lacking in strong metric reporting and coordinate with team leaders to customize dashboards and data flows. These initiatives include developing and implementing additional technologies such as tablets, software, and data processes. They will work closely with leaders across the business to quickly identify opportunities Essential Duties and Responsibilities: * Create and maintain various informational graphics to convey metrics accurately and quickly to department leaders * Pull data from facility software and parse crucial operational insights such as scrap percent, utilization, overages, as well as KPIs dictated by business leaders * Maintain KPIs and ensure data is up to date and relevant for current business direction * Remove dated, corrupted, or otherwise unusable data from databases * Assist with data acquisition and develop additional processes to capture manufacturing data accurately and consistently * Develop departments with Industry 4.0 ideologies and standard practices * Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that will help the organization navigate * Assign numerical value to essential business functions so that performance can be assessed and trended over periods of time * Prepare reports for leadership stating patterns, trends, and predictions using relevant data * Develop automated tools to assist with data acquisition, data queries, and data shaping * Assist with training on new processes and procedures for data acquisition * Continuously analyze and identify room for improvement on all databases including ERP and QMS related software * Support initiatives for data integrity and normalization * Assess software and hardware needs to assist with strategic decisions on new and existing systems * Troubleshoot database environments and reports to ensure informational integrity and accuracy Education, Skills, and Experience: * AS/BA in Computer/Data Science * 3 to 5 years' experience * Preferred experience with any of the following: SQL/ R/ MATLAB/ Python * Preferred experience with BI software such as Tableau/ Power BI * Proficient with Microsoft 365

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive. Job Location (Full Address): 2561 Lac de Ville Blvd, Brighton, New York, United States of America, 14618 Opening: Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 400079 Pediatrics M&D Admin Work Shift: Range: UR URG 108 Compensation Range: $51,810.00 - $72,534.00 The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations. Responsibilities: Develops methods for data collection, analysis, and reporting for a department or school. Utilizes best practices. Analyzes and interprets data using statistical techniques. Identifies actionable insights and recommendations. Creates presentations and reports based on findings. Works directly with clients to identify analytical requirements as well as collect data requirements, analyze, determine technical issues, and design ad-hoc reports. Collects, analyzes and documents business requirements and translates into function and system requirement specifications. May guide other less experienced team members Responsibilities General Purpose: Develops methods for data collection, analysis, and reporting for assigned area. Utilizes best practices. Analyzes and interprets data using statistical techniques. Identifies actionable insights and recommendations. Creates presentations and reports based on findings. Works directly with clients to identify analytical requirements as well as collect data requirements, analyze, determine technical issues, and design ad-hoc reports. Collects, analyzes and documents business requirements and translates into function and system requirement specifications. May guide other less experienced team members Responsibilities: Administration - Collects data using questionnaires, interviews, reports, searches of existing journals, etc. Meets with project participants to help formulate project goals and determine protocols and information-gathering methods. May assist in design, development and programming of systems needed to meet optimum data presentation goals. Operations - Prepares reports and recommendations based upon analysis of information gathered. Compliance - Maintains records and conducts correspondence with a variety of agencies and officials that provide a source of information. Other duties as assigned Qualifications: - Bachelor's Degree or equivalent Masters - Bachelor's degree in statistical analysis, data base management, or related studies and 3 years data analysis or customer resource management systems experience required or equivalent combination - of education and experience - Attention to detail required - Accuracy and record keeping required Data analysis and problem solving required Advanced excel required - C-TAGME Certification a plus. Leadership experience is a plus. The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. What you'll do: Drive current and future strategy by leveraging your analytical skill Assist with building and using models to test and validate data Work with vast amounts of data in new and evolving environments Be a part of growing and developing our brand in new and emerging markets Leverage analytics to create a customer experience above our peers Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers Be a part of the full life cycle of projects and see end results Collaborate across business units Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority Experience real work life balance, with little travel involved On any given day you will be: Mining data to arrive at specific and crucial information for the organization Identifying and implementing process, data, and reporting improvements for the organization Working with large and complex databases containing millions to billions of records Improving operational efficiencies and effectiveness Conducting analysis to evaluate processes and tests Extracting and analyzing data to gauge product offerings Consulting on the design and implementation of new production and data storage systems Developing and implementing strategic tests of products, initiatives and marketing materials An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply. Basic Qualifications: Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. At least 4 years of experience performing professional data analysis work At least 4 years of experience performing programming Preferred Qualifications: Master's Degree At least 7 years of professional data analysis work experience At least 1 year of experience in people management At least 1 years of project management experience At least 1 year of experience with Python, R, Spark or SQL At least 1 year of experience in Tableau Proficient utilizing and developing within AWS service Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $149,800 - $171,000 for Data Analysis Manager McLean, VA: $164,800 - $188,100 for Data Analysis Manager Richmond, VA: $149,800 - $171,000 for Data Analysis Manager New York, NY: $179,700 - $205,100 for Data Analysis Manager Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive. **Job Location (Full Address):** 275 Hutchison Rd, Rochester, New York, United States of America, 14627 **Opening:** Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 400178 Cancer Center/Clin Trials Ofc Work Shift: UR - Day (United States of America) Range: UR URG 107 H Compensation Range: $23.06 - $32.29 _The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations._ **Responsibilities:** Assumes responsibility for the data management of clinical research protocols. Coordinates with the investigational faculty, clinical trial office staff, and sponsor-designated contacts to resolve data inquiries as needed. Formulates and organizes data entry plans to manage assigned caseloads. Responsible for the compilation, registration and submission of data, monitoring compliance with the protocol, adherence to Standard Operating Procedures (SOPs), and all applicable regulations and guidelines to ensure timely, accurate and compliant data reporting. **ESSENTIAL FUNCTIONS** + Assists in conducting quality checks for data accuracy with data source records as assigned. Reviews medical records for prospective clinical trial patients in conjunction with study eligibility parameters to assist with enrollment. + Partners with the primary point of contact to provide data status reports and ensure protocol data objectives are scheduled appropriately. Manages a workload of studies commensurate to level of experience. Answers data clarifications for each study. Schedules and meets with study monitors and ensures patient cases are ready for each monitor visit and items are addressed after each monitoring visit. Develops source data worksheets specific to each assigned study. Ensures clinical issues from monitoring reports are addressed and closed out before the next monitoring visit. Ensures all study requirements are documented and meet both internal and external regulations in accordance with protocol guidelines. Prepares data status update reports to be presented routinely at PI Oversight meetings. Extracts and prepares drug safety profile information for annual reports. Prepares relevant information for DSMC reports as required and requested. Observes for deviations and acts to minimize them. Reports deviations when they occur, addressing adverse events with supervision. + Maintains study binders and filings according to protocol requirements and department policy. Prepares source documentation logs for review by trial investigators by extracting this information from available source documents. Updates data and safety related information in OnCore and collaborates with the trial investigators for review and submission to the applicable sponsor(s) and regulatory authorities. Maintains screening, enrollment, and other sponsor and/or protocol specific logs. + Keeps current with all federal, state, sponsor, and institutional policies and laws, standard operating procedures, and guidelines. Adheres to all UR, Wilmot, and department policies and procedures. + Maintains requisite skills and mandatory training in safety, equality, responsible conduct of research, continuing education, and research competencies. Maintains CITI and Conflict of Interest (COI) certification and renewal as required. Gains knowledge in medical research terminology. Continues to gain proficiency in UR-specific research software needed to manage clinical research protocols. Participates in protocol-related training as required. + Other duties as assigned. **MINIMUM EDUCATION & EXPERIENCE** + Bachelor's degree and 1 year of relevant experience required + Or equivalent combination of education and experience **KNOWLEDGE, SKILLS AND ABILITIES** + Skill in completing assignments accurately and with attention to detail required + Ability to understand and follow standard research protocols and procedures required + Ability to process and handle confidential information with discretion required + Commitment to the University's core values required + Ability to work independently and/or in a collaborative environment required + Understands and follows data integrity standards and processes as outlined in the Code of Federal Regulations (CFR), Good Clinical Practices (GCP) and Good Documentation Practices (GDP) required + Strong interpersonal, communication, and organizational skills required + Highly collaborative, works well in teams required + Proficient in MS Office (e.g. Word, Excel, and PowerPoint), email, internet required The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law. Notice: If you are a **Current Employee,** please **log into my URHR** to search for and apply to jobs using the Jobs Hub. Your application, if submitted using this portal, cannot be moved forward. **Learn. Discover. Heal. Create.** Located in western New York, Rochester is our namesake and our home. One of the world's leading research universities, Rochester has a long tradition of breaking boundaries-always pushing and questioning, learning and unlearning. We transform ideas into enterprises that create value and make the world ever better. If you're looking for a career in higher education or health care, the University of Rochester may offer the perfect opportunity for your background and goals. At the University of Rochester, we are committed to fostering, cultivating, and preserving an inclusive and welcoming culture and are united by a strong commitment to be ever better-Meliora. It is an ideal that informs our shared mission to ensure all members of our community feel safe, respected, included, and valued.

Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target application Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and design of the overall system Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, integration, and test of embedded software for real-time control of advanced tactical radio equipment Develop software test procedures, software programs, and related documentation Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and evaluate results Participate in peer reviews, identify, track and repair defects Utilize a variety of software languages (i.e., C++, C#, C, Java, Ruby, HTML5, XML, SQL, Perl, Python, Ajax, Qt) on Windows, Linux, mobile platforms, and embedded real time operating systems (VxWorks, Linux, QNX, Integrity, Windows CE, and others for Motorola, Intel, TI, and custom processor designs) Digital Signal Processing Apply digital signal processing (DSP), communication systems, and software engineering concepts and principles in the development of software for the target application Understanding of time domain versus frequency domain analysis, filter structures, and modulation/coding algorithms Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and design of the overall system Support and participate in all phases of the software and firmware development life cycle, including requirements analysis, design, implementation, integration, and test of embedded software for real-time control of advanced tactical radio equipment in an agile environment Develop software test procedures, software programs, and related documentation Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and evaluate results Participate in peer reviews, identify, track and repair defects Utilize a variety of software languages (primarily C, C++, and VHDL as well as scripting languages) on embedded Linux and real-time operating system platforms (QNX, Motorola, Intel, TI, and custom processor designs) Qualifications: Pursuing a Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Wireless Engineering, Information Security, Mathematics, Digital Arts & Sciences or related field Preferred Skills: One or more of the following: C++, C#, C, Java, Ruby, JEE, HTML5, XML, SQL, Qt, Windows, .NET, Unix, Linux, SOA, RTOS, Real-Time Controls, Wireless, Software Security, Robotics, OOA/OOD, Hadoop, Android, Embedded Systems In compliance with pay transparency requirements, the salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $22/hour - $40.50/hour. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including relocation stipend, 401(k), EAP, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Analyse and identify the linkages and interactions between the component parts of an entire system. + Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. + Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. + Develop skills outside your comfort zone, and encourage others to do the same. + Effectively mentor others. + Use the review of work as an opportunity to deepen the expertise of team members. + Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Minimum Degree Required** Bachelor's Degree **Minimum Year(s) of Experience** 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients + Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach + Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases + Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds + Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases + Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; + Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; + Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; + Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps + Structuring, write, communicate and facilitate client presentations; and, + Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing GenAI application development teams including back-end and front-end integrations + Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); + Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization + Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev + Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms + Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on January 31, 2026 Work You'll Do Client Engagement & Solution Scoping + Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. + Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). + Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. + Solution Architecture & Design + Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). + Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). + Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization + Lead model fine-tuning, prompt engineering, and customization for client-specific needs. + Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. + Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management + Manage solution rollout, including cloud setup, configuration, and production deployment. + Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance + Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. + Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication + Prepare executive-level reports, dashboards, and demos to summarize progress and impact. + Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership + Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. + Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: + Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. + 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. + Independent thinker who can create the vision and execute on transforming data into high end client products. + Demonstrated accomplishments in the following areas: + Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). + Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). + Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. + Knowledge of solution architecture, risk assessment, and mapping technology to business goals. + Familiarity with agile methodologies and iterative delivery. + Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available. Preferred: + Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. + Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

As an Advanced Data Scientist here at Honeywell, you will be responsible for providing technical insight and acting as the subject matter expert in machine learning, statistical modeling, and data analysis projects. You will work closely with leadership to translate business needs into data science solutions. You will be responsible for contributing to the continuous improvement of methodologies and explore new approaches to enhance analytical capabilities. In this role, you will impact the business by applying your expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions. You will manage end-to-end data science projects, ensuring alignment with business objectives and the successful delivery of actionable insights. Additionally, you will provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team culture. **Key Responsibilities** + Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques. + Interact with 3 rd parties to evaluate integration feasibility and licensing of technologies and analytic components + Design, prototyping, and implementation of new data-centric solutions + Effectively communicate and collaborate with local teams, international teams, and 3 rd parties + Contribute to build versus buy decisions + Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life + Self-starter that can take minimal direction and deliver results + Curious problem solver **YOU MUST HAVE** + Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics. + BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.) + At least 5 years of experience in modern advanced analytical tools and programming languages, including Python. + Proficiency with exploratory data analysis + **Proficiency with ETL operations sourcing data from SQL, REST APIs, and flat files** + Experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc. + **At least 5 years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C or C#** + Comfortable in Windows and Linux environments **WE VALUE** + BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.) + Experience in building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks + Experience in various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications + Experience in building predictive and decision-making AI applications. + Experience using cloud services from AWS, Azure, or GCP to develop solutions. + Experience in computer vision and image/video analysis, including object detection, recognition, tracking, and identification + Experience with application of data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural networks, SVMs, anomaly detection, recommender systems, pattern discovery, and text mining + Problem Solving: Ability to solve problems using analytical thinking, reconciling viewpoints, and evaluating technologies. + Communication: Demonstrates effective verbal and written communication skills when explaining complex technical issues to both technical and non-technical audiences + Continuous learning mindset The annual base salary range for this position is $124,000 - $155,000. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations. In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell (******************************** The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 1/14/2026 Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

Job Description The primary responsibility of the Data Analyst is to collaborate with leadership to identify opportunities for improvement through interpretation of various information across the facility. They will be responsible for keeping the vitals of the business up to date and presentable. Their goal will be to continuously identify areas lacking in strong metric reporting and coordinate with team leaders to customize dashboards and data flows. These initiatives include developing and implementing additional technologies such as tablets, software, and data processes. They will work closely with leaders across the business to quickly identify opportunities Essential Duties and Responsibilities: • Create and maintain various informational graphics to convey metrics accurately and quickly to department leaders • Pull data from facility software and parse crucial operational insights such as scrap percent, utilization, overages, as well as KPIs dictated by business leaders • Maintain KPIs and ensure data is up to date and relevant for current business direction • Remove dated, corrupted, or otherwise unusable data from databases • Assist with data acquisition and develop additional processes to capture manufacturing data accurately and consistently • Develop departments with Industry 4.0 ideologies and standard practices • Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that will help the organization navigate • Assign numerical value to essential business functions so that performance can be assessed and trended over periods of time • Prepare reports for leadership stating patterns, trends, and predictions using relevant data • Develop automated tools to assist with data acquisition, data queries, and data shaping • Assist with training on new processes and procedures for data acquisition • Continuously analyze and identify room for improvement on all databases including ERP and QMS related software • Support initiatives for data integrity and normalization • Assess software and hardware needs to assist with strategic decisions on new and existing systems • Troubleshoot database environments and reports to ensure informational integrity and accuracy Education, Skills, and Experience: • AS/BA in Computer/Data Science • 3 to 5 years' experience • Preferred experience with any of the following: SQL/ R/ MATLAB/ Python • Preferred experience with BI software such as Tableau/ Power BI • Proficient with Microsoft 365

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive. Job Location (Full Address): 90 Crittenden Blvd, Rochester, New York, United States of America, 14642 Opening: Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 500055 SMH Hematology/Oncology Work Shift: UR - Day (United States of America) Range: UR URG 106 Compensation Range: $44,419.00 - $62,186.00 The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations. Responsibilities: Supports the development of methods for data collection, analysis, and reporting for a department or school. Analyzes and interprets data using statistical techniques. Assists with the creation of presentations and reports based on findings, which includes collating, modeling, interpreting and analyzing data. Collects data requirements, analyzes and determines technical issues, and design ad-hoc reports. Collects, analyzes and documents business requirements and supports translation into function and system requirement specifications. JOB DUTIES AND RESPONSIBILITIES: - Assists with tracking and compiling of comprehensive business metric data for evaluating effectiveness of programs, processes, or practices. Protects and ensures confidentiality of data per applicable policies and procedures (i.e. HIPPA etc.). Assists with building business solutions based on data. - Collects requirements and designs reports to meet data analysis needs. Assists in the preparation of detailed documentation and/or reporting, in the case of external audit. Supports audit process and assists with compilation of required documentation. - Updates and maintains the integrity of assigned databased on an ongoing basis. - Consults with user groups to assess data preparation and data management needs, program design, and general user interface testing. Supports the evaluation of new technology and resources, and the impact of those new technologies, for improving data outcomes. - Assists in the development of standard operating procedures, process maps, code manuals and project plans for all major reporting projects, as needed. QUALIFICATIONS: Bachelor's Degree in statistical analysis, data base management, or related discipline required. 1 year of experience with data analysis or customer resource management systems required or equivalent combination of education and experience. Strong attention to detail and strong organizational, data analysis and problem-solving skills required. Familiarity with statistics and statistical analysis, advanced knowledge of Microsoft Excel, ability to visually portray data preferred. The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive. **Job Location (Full Address):** 601 Elmwood Ave, Rochester, New York, United States of America, 14642 **Opening:** Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 400178 Cancer Center/Clin Trials Ofc Work Shift: UR - Day (United States of America) Range: UR URG 107 H Compensation Range: $23.06 - $32.29 _The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations._ **Responsibilities:** Assumes responsibility for the data management of clinical research protocols. Coordinates with the investigational faculty, clinical trial office staff, and sponsor-designated contacts to resolve data inquiries as needed. Formulates and organizes data entry plans to manage assigned caseloads. Responsible for the compilation, registration and submission of data, monitoring compliance with the protocol, adherence to Standard Operating Procedures (SOPs), and all applicable regulations and guidelines to ensure timely, accurate and compliant data reporting. **ESSENTIAL FUNCTIONS** + Assists in conducting quality checks for data accuracy with data source records as assigned. Reviews medical records for prospective clinical trial patients in conjunction with study eligibility parameters to assist with enrollment. + Partners with the primary point of contact to provide data status reports and ensure protocol data objectives are scheduled appropriately. Manages a workload of studies commensurate to level of experience. Answers data clarifications for each study. Schedules and meets with study monitors and ensures patient cases are ready for each monitor visit and items are addressed after each monitoring visit. Develops source data worksheets specific to each assigned study. Ensures clinical issues from monitoring reports are addressed and closed out before the next monitoring visit. Ensures all study requirements are documented and meet both internal and external regulations in accordance with protocol guidelines. Prepares data status update reports to be presented routinely at PI Oversight meetings. Extracts and prepares drug safety profile information for annual reports. Prepares relevant information for DSMC reports as required and requested. Observes for deviations and acts to minimize them. Reports deviations when they occur, addressing adverse events with supervision. + Maintains study binders and filings according to protocol requirements and department policy. Prepares source documentation logs for review by trial investigators by extracting this information from available source documents. Updates data and safety related information in OnCore and collaborates with the trial investigators for review and submission to the applicable sponsor(s) and regulatory authorities. Maintains screening, enrollment, and other sponsor and/or protocol specific logs. + Keeps current with all federal, state, sponsor, and institutional policies and laws, standard operating procedures, and guidelines. Adheres to all UR, Wilmot, and department policies and procedures. + Maintains requisite skills and mandatory training in safety, equality, responsible conduct of research, continuing education, and research competencies. Maintains CITI and Conflict of Interest (COI) certification and renewal as required. Gains knowledge in medical research terminology. Continues to gain proficiency in UR-specific research software needed to manage clinical research protocols. Participates in protocol-related training as required. + Other duties as assigned. **MINIMUM EDUCATION & EXPERIENCE** + Bachelor's degree and 1 year of relevant experience required + Or equivalent combination of education and experience **KNOWLEDGE, SKILLS AND ABILITIES** + Skill in completing assignments accurately and with attention to detail required + Ability to understand and follow standard research protocols and procedures required + Ability to process and handle confidential information with discretion required + Commitment to the University's core values required + Ability to work independently and/or in a collaborative environment required + Understands and follows data integrity standards and processes as outlined in the Code of Federal Regulations (CFR), Good Clinical Practices (GCP) and Good Documentation Practices (GDP) required + Strong interpersonal, communication, and organizational skills required + Highly collaborative, works well in teams required + Proficient in MS Office (e.g. Word, Excel, and PowerPoint), email, internet required The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law. Notice: If you are a **Current Employee,** please **log into my URHR** to search for and apply to jobs using the Jobs Hub. Your application, if submitted using this portal, cannot be moved forward. **Learn. Discover. Heal. Create.** Located in western New York, Rochester is our namesake and our home. One of the world's leading research universities, Rochester has a long tradition of breaking boundaries-always pushing and questioning, learning and unlearning. We transform ideas into enterprises that create value and make the world ever better. If you're looking for a career in higher education or health care, the University of Rochester may offer the perfect opportunity for your background and goals. At the University of Rochester, we are committed to fostering, cultivating, and preserving an inclusive and welcoming culture and are united by a strong commitment to be ever better-Meliora. It is an ideal that informs our shared mission to ensure all members of our community feel safe, respected, included, and valued.