Data science internship jobs in Bethel, CT

Client Delivery Specialist Associate This role offers the opportunity to contribute directly to our mission by ensuring the accuracy and integrity of our financial data. This person will be a part of a dynamic team focused on innovation and efficiency, working with cutting-edge technology to streamline client onboarding and reporting. Responsibilities Lead data conversion projects, including extracting, transforming, and loading (ETL) data between portfolio management systems. This involves understanding source system requirements, mapping data to new system standards, and managing the conversion of large datasets from legacy systems. Reconcile loaded data in source system against positions, tax lots, and performance. Integrate historical financial data by converting potentially complex and unstructured data files and statements into structured formats suitable for backfilling. Provide support for automated data feeds, troubleshooting issues and ensuring the seamless transformation of daily financial transactions and positions into source system imports. This requires a strong understanding of the automated data processing system. Respond to ad-hoc data requests from client-facing teams, providing timely and accurate information. Qualifications 5+ years in the financial industry, demonstrating a proven track record of financial product support, technical proficiency, and solid accounting knowledge Subject matter expert in Orion and Black Diamond Familiarity with other portfolio management systems, such as Addepar, Advyzon, APX, Axys, Ridgeline, Tamarac Strong background working with financial custodial data and proficiency supporting alternative financial instruments Advanced proficiency in Excel and text file manipulation. Familiarity with other data formats, such as JSON, XML, and unstructured-to-structured transformation is a plus Experience with at least one of the following: Python, SQL, Power Automate or other large data set software, demonstrating the ability to extract and transform data Demonstrated history of automating data-related processes such as data integration, including log file creation and maintenance Understanding of Salesforce, Monday.com , Jira, and GitLab Comfort working with a geographically dispersed team Strong interpersonal verbal and written communication skills and comfortable communicating with clients as needed Achievement of, or working towards, an MS/MBA or CFA

Join the fintech powerhouse redefining how the world invests in private markets. iCapital is a global leader in alternative investments, trusted by financial advisors, wealth managers, asset managers, and industry innovators worldwide. With $999.73 billion in assets serviced globally-including $272.1 billion in alternative platform assets-we empower over 3,000 wealth management firms and 118,000 financial professionals to deliver cutting-edge alternative investment solutions. This summer, become part of a dynamic team where your ideas matter. Make a meaningful impact, accelerate your professional growth, and help push the boundaries of what's possible at the intersection of technology and finance. Key features of our Summer 2026 Internship: Become a key member of the iCapital team, driving initiatives, contributing to projects, and potentially jumpstart your career with us after graduation. Immerse yourself in an inclusive company culture where we create a sense of belonging for everyone. Gain exclusive access to the AltsEdge Certificate Program, our award-winning alternative investments education curriculum for wealth managers. Attend recurring iLearn seminars and platform demos where you will learn the latest about our products. Participate in an intern team project, culminating in an end-of-summer presentation to a panel of senior executives. Join senior executive speaker seminars that provide career development, guidance, and access to the leaders at iCapital. About the role: The Data Solutions department provides a reporting service that leverages top-tier third-party reporting tools to assist UHNW clients in identifying opportunities and risks within their portfolios. Through collaborations with leading technology platforms, we curate reports that offer insightful, consolidated, real-time views of all assets and liabilities, detailing what they are, who holds them, how ownership is divided, how they're invested, and how they're performing. These reports are strategically designed to uncover opportunities and highlight financial risks. Learn and leverage financial reporting and data aggregation tools: Conduct account level reconciliation. Provide accurate and timely statements and data entry. Work with internal teams to resolve data issues. Generate Ad Hoc reports as needed. Work with the team to prioritize individual and communal work to ensure all projects are completed on time and to detailed specifications. Valued qualities and key skills: Highly inquisitive, collaborative, and a creative problem solver Possess foundational knowledge of and/or genuine interest in the financial markets Able to thrive in a fast-paced environment Able to adapt to new responsibilities and manage competing priorities Technologically proficient in Microsoft Office (Excel, PowerPoint) Strong verbal and written communication skills What we offer: Outings with iCapital team members and fellow interns to build connections and grow your network. Corporate culture and volunteer activities in support of the communities where we live and work. Rooftop Happy Hours showcasing our impressive views of NYC. Eligibility: A rising junior or senior in a U.S. college/university bachelor's degree program Must be available to work the duration of the program from June 8th through August 7th to be eligible Committed to working five days a week in the Stamford office for the entire duration of the internship Authorized to work in the United States* *We are unable to offer any type of employment-based immigration sponsorship for this program Pay Rate: $31.00/hour + relocation stipend and transportation stipend iCapital in the Press: We are innovating at the intersection of technology and investment opportunity, but don't take our word for it. Here's what others are saying about us: Two consecutive years on the CNBC World's Top Fintech Companies list Two consecutive years listed in Top 100 Fastest Growing Financial Services Companies Four-time winner of the Money Management Institute/Barron's Solutions Provider of the Year For additional information on iCapital, please visit **************************************** Twitter: @icapitalnetwork | LinkedIn: ***************************************************** | Awards Disclaimer: ****************************************/recognition/

About Us Over the past 25 years, Waste Harmonics Keter has been at the forefront of the waste and recycling industry, delivering innovative, data-driven solutions. We help companies right-size their waste operations and get out of the waste business with industry-leading expertise, state-of-the-art waste technologies, and industry-leading customer service. Visit Waste Harmonics Keter for more information. We are excited to grow our Data & Insights Team and meet talented professionals who want to make an impact. At this time, we are unable to offer visa sponsorship for the Data & Insights Analyst role. Candidates must have authorization to work in the United States now and in the future without the need for sponsorship. If this aligns with your current eligibility, we warmly encourage you to apply, we would love to learn more about you and the value you can bring to Waste Harmonics Keter. Role Purpose The Insight Analyst supports business decision-making by analyzing data, identifying trends, and creating clear, actionable insights. The role partners with stakeholders across the business, ensuring analysis directly supports operational and commercial priorities while continuously developing technical and business expertise Key Responsibilities Strategy & Value Creation Translate business questions into data-driven insights that guide operational and commercial decisions. Identify trends and anomalies in data to uncover improvement opportunities and recommend actions. Stakeholder & Influence Partner with stakeholders to clarify needs, define analytical questions, and tailor outputs. Communicate findings clearly and persuasively to enable confident decision-making. Operations & Delivery Conduct ad-hoc analysis with fast turnaround to support urgent business requirements. Support and enhance Power BI dashboards, ensuring accuracy and alignment with business needs. Apply data validation and root-cause analysis to ensure reliability of insights. People & Growth Build trusted relationships with business leaders, proactively surfacing insights. Continuously develop technical (Power BI, SQL, Excel, data visualization) and business knowledge to deepen analysis quality Core Competencies & Behaviors Customer Focus: Builds strong customer relationships and delivers customer-centric solutions. Decision Quality: Makes good, timely decisions that drive business progress. Optimizes Work Processes: Streamlines workflows and drives continuous improvement. Collaborates: Works effectively with others to achieve shared goals. Action-Oriented: Tackles challenges with urgency, energy, and enthusiasm. Self-Development & Nimble Learning: Seeks out growth opportunities, learns quickly from successes and setbacks. Data Rational: Uses numbers, facts, and statistical analysis as the foundation for decision-making. Detail Conscious & Evaluative: Ensures accuracy, checks for errors, and evaluates information critically. Innovative: Generates creative ideas and original solutions. Experience & Knowledge Delivered insights and analysis for business functions (e.g., operations, customer, or finance). Experience creating or enhancing dashboards using Power BI (or equivalent tools). Skilled in analyzing performance metrics, trends, and forecasts using SQL, Excel, or BI tools. Experience presenting findings to non-technical audiences in a clear, actionable way. Contributed to small data projects or supported cross-functional analytics initiatives . Qualifications Bachelor's degree in Business, Economics, Statistics, Data Analytics, or a related field (or equivalent experience). Proficiency in Excel, SQL, and BI tools (Power BI preferred). Strong analytical mindset with attention to detail. Excellent communication and stakeholder management skills. Waste Harmonics Keter Comprehensive Benefits Package Competitive Compensation Annual Bonus Plan at Every Level Continuous Learning and Development Opportunities 401(k) Retirement Savings with Company Match; Immediate Vesting Medical & Dental Insurance Vision Insurance (Company Paid) Life Insurance (Company Paid) Short-term & Long-term Disability (Company paid) Employee Assistance Program Flexible Spending Accounts/Health Savings Accounts Paid Time Off (PTO), Including birthday off, community volunteer hours and a Friday off in the summer 7 Paid Holidays At Waste Harmonics Keter , we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome candidates from all backgrounds to apply.

RBC Bearings Incorporated (NASDAQ: ROLL) is a leading international manufacturer of highly engineered precision bearings and components for the industrial, defense and aerospace industries. Founded in 1919, the Company is primarily focused on producing highly technical and/or regulated bearing products and engineered components requiring sophisticated design, testing and manufacturing capabilities for the diversified industrial, aerospace and defense markets. We currently have 54 facilities, of which 38 are manufacturing facilities in 11 countries and our market capitalization is approximately $10.6 billion. JOB TITLE/LOCATION: Data Analyst- Oxford, CT Job Summary: The Data Analyst will support the RBC Bearings Corporate Imports & Contracts division. This position would work within the Import/Sourcing & Contracts Group based out of our corporate office in Oxford, CT. Our ideal candidate would have an interest in developing and improving existing processes and working with Import/Export & Logistics on customs documentation and reconciliation along with other contracts projects. This is an entry-level position that requires a high level of software acumen with skills in Access, Excel and other related Microsoft Platforms. Responsibilities: Compile Dashboards that help drive decision making, for short and long-term business operation strategies involving imports, exports, tariffs and sourcing. Aggregates and performs statistical analysis on business data based on requests from project teams or senior leadership. Integrates data from multiple data sources or functional areas, ensures data accuracy and integrity, and updates data as needed. Produce, remodel, and optimize various reports, dashboards, and presentations. Use advanced Microsoft Access, Excel spreadsheet functions, Macros, Power Query, and statistical methods while looking for ways to improve current processes. Identify, analyze, and interpret material trends and leverage information to communicate value-added business insights. Must think through problems logically and work with cross-functional teams to derive solutions. Distribute Daily, Weekly, Monthly, Quarterly, and Yearly reports to team members to establish objectives and coordinate information workflows. Job Requirements: Ability to develop business analysis reports and create new databases using Microsoft Excel and Microsoft Access. Ability to define problems, collect data, establish facts, and draw valid conclusions. Interpersonal Communication. Analytical and Critical thinking. Mathematical and statistical knowledge Detail oriented. Ability to meet deadlines. Time and Resource Management Ability to travel as needed to support on-going projects Education: Bachelor's degree required with major in Business, Mathematics, finance or related field. We offer competitive compensation and excellent benefits including Medical, Dental, and company matched 401k plan. RBC Bearings is an Equal Opportunity Employer, including disability and protected veteran status.

About Company : A Global IT consulting firm with several large customer engagements across US. It provides strategic business consulting, technology,engineering and outsourcing services to help clients leverage technology and create impactful and measurable business value for every IT investment. About Us : Avance Consulting Services is a global talent acquisition and executive search company. We work exclusively with some of the most reputed and admired clients across various sectors and geographies. This is a very urgent role. Apply NOW with your updated resume in word format. All selected profiles will be contacted within 1 day of application receipt. Hi, Greetings from Avance, Hope you are doing good!!! We have an urgent requirement related to your profile with one of our client for Data Analyst at Milford, CT. If you are interested and available for the following position then please send your updated resume immediately. Job Title: Data Analyst Location: Milford, CT Duration: Fulltime/Permanent Job description: .Excellent customer facing skills ·Good understanding of the QSR domain ·Specialization in Managing and supporting Restaurant Menus ·Good understanding of Inventory, Prices, Promotions, Coupons, Loyalty programs, Rates and Tax Structures ·Good Knowledge of the Point-of-Sales systems ·Experience in data collection and evaluation methodologies, including format design, project criteria and requirements, data compilation, relevancy and usage ·Assist in setting up test environment and implementation of data collection with defined quality standards ·Highly experienced in handling large database through manual and data management tools ·Experience in handling and working on multi-lingual database and supporting them ·Experience in handling data transformations, manual data-entry and data management techniques ·Experience in establishing data quality standards and working with various stakeholder ·Performs and documents procedures for data preparation including data cleaning, standardization and analysis ·Well experienced In working with distributed teams in global environment ·Providing end to end leadership in delivering challenging requirements and meeting stringent deadlines ·Experience working in agile environment ·Excellent communication skills and a good team player Nice to have skills: ·Global Multilingual skills Additional Information All your information will be kept confidential according to EEO guidelines.

Shape Your Future With Us Genesis Management and Insurance Services Corporation (Genesis) is a premier alternative risk transfer provider, offering innovative solutions for the unique needs of public entity and education clients. Genesis takes pride in being a long-term thought partner and provider of insurance and reinsurance to public sector, K-12 and higher education self-insured individual risks, pools and trusts for over 30 years. Genesis is a wholly-owned subsidiary of General Re Corporation, a subsidiary of Berkshire Hathaway Inc. General Re Corporation is a holding company for global reinsurance and related operations with more than 2,000 employees worldwide. Our first-class financial security receives the highest financial strength ratings. Genesis currently offers an excellent opportunity for a P&C Commercial Insurance Data Analytics Intern based in our Stamford office. This opportunity is for available for Summer 2026 (July-August). This is a hybrid role. Role Description Join Genesis' Actuarial Pricing Unit for an immersive 8-week internship during Summer 2026. This program is designed to provide hands-on experience in actuarial pricing, data analytics, and research. Interns will work on real-world projects that combine technical skills with critical thinking to support pricing strategies and risk assessment. You will: * Gain exposure to actuarial concepts, insurance industry practices, and pricing methodologies. * Work with advanced tools and technologies, including R, SQL, Excel, and cloud-based data platforms. * Collect, clean, and structure data for analysis and modeling. * Perform exploratory analysis to identify trends and support decision-making. * Conduct research to evaluate industry developments and their impact on pricing. * Document processes and communicate findings clearly to technical and non-technical audiences. This internship is ideal for students who are analytical, detail-oriented, and eager to apply data-driven approaches to solve complex business challenges. You'll develop practical skills in data engineering, quantitative analysis, and research while collaborating with experienced professionals in a dynamic environment. Role Qualifications and Experience Required Skill Set * Technical Skills - * Experience with R and advanced skills in Excel. * Familiar with SQL and cloud-based data warehouses(e.g., Google BigQuery). * Special consideration for Postgres or spatial analytics. * Alternative data analysis and modeling tool like Python may be acceptable. * Data Collection & Engineering - Familiarity with gathering raw data, cleaning it, standardizing formats, and building structured datasets. * Research Skills - Ability to search, evaluate, and synthesize information from diverse online sources. * Organization & Documentation - Strong ability to organize information, track data sources, and document the research process. * Analytical & Quantitative Skills - Comfort with exploratory analysis, identifying trends, and supporting basic modeling work. * Critical Thinking - Ability to connect data insights with social, legal, and environmental developments. * Communication Skills - Capability to clearly explain findings to audiences with limited technical or subject-matter background. Salary Range $22.00 - $25.00 per hour The annual base salary range posted represents a broad range of salaries around the US and is subject to many factors including but not limited to credentials, education, experience, geographic location, job responsibilities, performance, skills and/or training. Our Corporate Headquarters Address General Reinsurance Corporation 400 Atlantic Street, 9th Floor Stamford, CT 06901 (US) At General Re Corporation, we celebrate diversity and are committed to creating an inclusive environment for all employees. It is the General Re Corporation's continuing policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, sex (including childbirth or related medical conditions), religion, national origin or ancestry, age, past or present disability , marital status, liability for service in the armed forces, veterans' status, citizenship, sexual orientation, gender identity, or any other characteristic protected by applicable law. In addition, Gen Re provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act.

About the Role We believe that the best decisions are backed by data. We are seeking a curious and analytical Data Scientist to champion our data -driven culture. In this role, you will act as a bridge between technical data and business strategy. You will mine massive datasets, build predictive models, and-most importantly-tell the story behind the numbers to help our leadership team make smarter choices. You are perfect for this role if you are as comfortable with SQL queries as you are with slide decks. ### What You Will Do Exploratory Analysis: Dive deep into raw data to discover trends, patterns, and anomalies that others miss. Predictive Modeling: Build and test statistical models (Regression, Time -series, Clustering) to forecast business outcomes and customer behavior. Data Visualization: Create clear, impactful dashboards using Tableau, PowerBI, or Python libraries (Matplotlib/Seaborn) to visualize success metrics. Experimentation: Design and analyze A/B tests to optimize product features and marketing campaigns. Data Cleaning: Work with Data Engineers to clean and structure messy data for analysis. Strategy: Present findings to stakeholders, translating complex math into clear, actionable business recommendations. Requirements Experience: 2+ years of experience in Data Science or Advanced Analytics. The Toolkit: Expert proficiency in Python or R for statistical analysis. Data Querying: Advanced SQL skills are non -negotiable (Joins, Window Functions, CTEs). Math Mindset: Strong grasp of statistics (Hypothesis testing, distributions, probability). Visualization: Ability to communicate data visually using Tableau, PowerBI, or Looker. Communication: Excellent verbal and written skills; you can explain a p -value to a non -technical manager. ### Preferred Tech Stack (Keywords) Languages: Python (Pandas, NumPy), R, SQL Viz Tools: Tableau, PowerBI, Looker, Plotly Machine Learning: Scikit -learn, XGBoost (applied to business problems) Big Data: Spark, Hadoop, Snowflake Benefits Salary Range: $50,000 - $180,000 USD / year (Commensurate with location and experience) Remote Friendly: Work from where you are most productive. Learning Budget: Stipend for data courses (Coursera, DataCamp) and books.

Job Description Fair Haven Community Health Care For over 54 years, FHCHC has been an innovative and vibrant community health center, catering to multiple generations with over 165,000 office visits across 21 locations. Guided by a Board of Directors, most of whom are patients themselves, we take pride in being a healthcare leader dedicated to delivering high-quality, affordable medical and dental care to everyone, regardless of their insurance status or ability to pay. Our extensive range of primary and specialty care services, along with evidence-based programs, empowers patients to make informed choices about their health. As we expand our reach to underserved areas, our commitment to prioritizing patient needs remains unwavering. FHCHC's mission is to enhance the health and social well-being of the communities we serve through equitable, high-quality, and culturally responsive patient-centered care. This position is onsite/hybrid, commuting of New Haven, CT. Job purpose The Data Analyst II is responsible for gathering, organizing, analyzing and presenting data. The responsibilities include extracting data, maintaining databases and creating reports. The role also identifies trends and patterns in data sets and provides meaningful insights to inform and impact important business decisions that advance the mission of Fair Haven Community Health Care (FHCHC). Duties and responsibilities Reporting to the Data & Analytics Director, the Data Analyst II uses analytical skills and expertise in data processing to provide insightful data analysis for all organizational data needs and requirements. They are responsible for interpreting complex data sets, developing actionable insights, and creating detailed reports and dashboards to enhance decision-making and drive business performance. Typical duties include but are not limited to: Approves team workflow and processes documentation for the benefit of team and organizational data governance and contributes to the ongoing development of data dictionary, standards and training Creates and develops the processes of data collection, data analysis, and data review for quality improvement, grants, and other programs Designs, develops, and manages databases for quality and appropriateness of source data to support the creation, validation, and visualization of reports Ensures the consistency and maintainability of existing data assets by creating, maintaining, and enforcing standards/procedures for data management Fulfills ad-hoc requests from staff (e.g. scheduling reporting, changes to metrics, views, and updates to visualizations) Leads investigations (root cause analysis) and resolution of systems problems Maintains and improves data pipelines, queries, master datasets, and dashboards Maintains and manages strict adherence to all deadlines including reporting deadlines and timely completeness of documentation Oversees and develops the interfaces and systems FHCHC uses to store, display, transfer and report data; including but not limited to coding for data extraction from multiple databases and server combinations Partners with members of staff to promote the effective use of shared data Performs other necessary duties as required by FHCHC to achieve the goal of providing high quality services Recommends solutions with key stakeholders when data issues occur that are likely to impact operations and business outcomes Supports teams and committees working on quality improvement projects Works effectively with all levels within the organization and establishes strong relationships at all levels of FHCHC and community connect organizations Works in collaboration with internal and external stakeholders; providers, directors, department managers, vendors and others, to identify and meet the continuous data and business intelligence requirements of the organization Qualifications Bachelor's degree in business, computer science, data science, engineering, information systems and 5 years' experience are required. The selected candidate will have: Ability to work independently, make decisions and provide training Competence in data quality and data governance with complex healthcare data sets Demonstrated ability to understand, analyze, document, explain business processes and the data behind them Excellent data analysis and data management skills Exceptional communication, interpersonal, organizational and attention to detail skills Experience with a variety of software and online platforms (e.g. Adobe, Dropbox Sign, FileZilla, Power BI, Electronic Handbook, 340B ESP, Value Set Authority) Experience with data visualizations, demonstrating correlations, trends, forecast, etc. (e.g. Advanced Excel, Power BI, Tableau) Experience working with Electronic Health Records (EHR), population health software, medical claims, and other healthcare data and regulations Experience writing well-formed SQL queries for data reporting, as well as other data management tools (e.g. SQL Server, Tableau, Power BI, Advanced Excel) Must be flexible and adaptable to change in a fast-paced environment Superior skills in follow-through, self-directed work and independent problem solving Experience with Federally Qualified Health Centers and Uniform Data System (UDS), and with the Epic EHR system and familiarity with software engineering and coding languages (e.g. HTML, Python, R, C#, cloud software) in addition to SQL, is highly desirable. American with Disabilities Requirements: External and internal applicants, as well as position incumbents who become disabled, must be able to perform the essential job specific functions (listed within each job specific responsibility) either unaided or with the assistance of a reasonable accommodation to be determined by the organization on a case by case basis. Fair Haven Community Health Care is an Equal Opportunity Employer. FHCHC does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. Powered by JazzHR nHOzcKboZ0

About Us Over the past 25 years, Waste Harmonics Keter has been at the forefront of the waste and recycling industry, delivering innovative, data-driven solutions. We help companies right-size their waste operations and get out of the waste business with industry-leading expertise, state-of-the-art waste technologies, and industry-leading customer service. Visit Waste Harmonics Keter for more information. We are excited to grow our Data & Insights Team and meet talented professionals who want to make an impact. At this time, we are unable to offer visa sponsorship for the Data & Insights Analyst role. Candidates must have authorization to work in the United States now and in the future without the need for sponsorship. If this aligns with your current eligibility, we warmly encourage you to apply, we would love to learn more about you and the value you can bring to Waste Harmonics Keter. Role Purpose The Insight Analyst supports business decision-making by analyzing data, identifying trends, and creating clear, actionable insights. The role partners with stakeholders across the business, ensuring analysis directly supports operational and commercial priorities while continuously developing technical and business expertise Key Responsibilities Strategy & Value Creation Translate business questions into data-driven insights that guide operational and commercial decisions. Identify trends and anomalies in data to uncover improvement opportunities and recommend actions. Stakeholder & Influence Partner with stakeholders to clarify needs, define analytical questions, and tailor outputs. Communicate findings clearly and persuasively to enable confident decision-making. Operations & Delivery Conduct ad-hoc analysis with fast turnaround to support urgent business requirements. Support and enhance Power BI dashboards, ensuring accuracy and alignment with business needs. Apply data validation and root-cause analysis to ensure reliability of insights. People & Growth Build trusted relationships with business leaders, proactively surfacing insights. Continuously develop technical (Power BI, SQL, Excel, data visualization) and business knowledge to deepen analysis quality Core Competencies & Behaviors Customer Focus: Builds strong customer relationships and delivers customer-centric solutions. Decision Quality: Makes good, timely decisions that drive business progress. Optimizes Work Processes: Streamlines workflows and drives continuous improvement. Collaborates: Works effectively with others to achieve shared goals. Action-Oriented: Tackles challenges with urgency, energy, and enthusiasm. Self-Development & Nimble Learning: Seeks out growth opportunities, learns quickly from successes and setbacks. Data Rational: Uses numbers, facts, and statistical analysis as the foundation for decision-making. Detail Conscious & Evaluative: Ensures accuracy, checks for errors, and evaluates information critically. Innovative: Generates creative ideas and original solutions. Experience & Knowledge Delivered insights and analysis for business functions (e.g., operations, customer, or finance). Experience creating or enhancing dashboards using Power BI (or equivalent tools). Skilled in analyzing performance metrics, trends, and forecasts using SQL, Excel, or BI tools. Experience presenting findings to non-technical audiences in a clear, actionable way. Contributed to small data projects or supported cross-functional analytics initiatives . Qualifications Bachelor's degree in Business, Economics, Statistics, Data Analytics, or a related field (or equivalent experience). Proficiency in Excel, SQL, and BI tools (Power BI preferred). Strong analytical mindset with attention to detail. Excellent communication and stakeholder management skills. Waste Harmonics Keter Comprehensive Benefits Package Competitive Compensation Annual Bonus Plan at Every Level Continuous Learning and Development Opportunities 401(k) Retirement Savings with Company Match; Immediate Vesting Medical & Dental Insurance Vision Insurance (Company Paid) Life Insurance (Company Paid) Short-term & Long-term Disability (Company paid) Employee Assistance Program Flexible Spending Accounts/Health Savings Accounts Paid Time Off (PTO), Including birthday off, community volunteer hours and a Friday off in the summer 7 Paid Holidays At Waste Harmonics Keter , we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome candidates from all backgrounds to apply.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

RISE Data Scientist Reports to: Monitoring, Evaluation, and Learning Manager Salary: Competitive and commensurate with experience Please note: Due to the upcoming holidays, application review for this position will begin the first week of January. Applicants can expect outreach by the end of the week of January 5. Overview: The RISE Network's mission is to ensure all high school students graduate with a plan and the skills and confidence to achieve college and career success. Founded in 2016, RISE partners with public high schools to lead networks where communities work together to use data to learn and improve. Through its core and most comprehensive network, RISE partners with nine high schools and eight districts, serving over 13,000 students in historically marginalized communities. RISE high schools work together to ensure all students experience success as they transition to, through, and beyond high school by using data to pinpoint needs, form hypotheses, and pursue ideas to advance student achievement. Partner schools have improved Grade 9 promotion rates by nearly 20 percentage points, while also decreasing subgroup gaps and increasing schoolwide graduation and college access rates. In 2021, the RISE Network was honored to receive the Carnegie Foundation's annual Spotlight on Quality in Continuous Improvement recognition. Increasingly, RISE is pursuing opportunities to scale its impact through research publications, consulting partnerships, professional development experiences, and other avenues to drive excellent student outcomes. Position Summary and Essential Job Functions: The RISE Data Scientist will play a critical role in leveraging data to support continuous improvement, program evaluation, and research, enhancing the organization's evidence-based learning and decision-making. RISE is seeking a talented and motivated individual to design and conduct rigorous quantitative analyses to assess the outcomes and impacts of programs. The ideal candidate is an experienced analyst who is passionate about using data to drive social change, with strong skills in statistical modeling, data visualization, and research design. This individual will also lead efforts to monitor and analyze organization-wide data related to mission progress and key performance indicators (KPIs), and communicate these insights in ways that inspire improvement and action. This is an exciting opportunity for an individual who thrives in an entrepreneurial environment and is passionate about closing opportunity gaps and supporting the potential of all students, regardless of life circumstances. The role will report to the Monitoring, Evaluation, and Learning (MEL) Manager and sit on the MEL team. Responsibilities include, but are not limited to: 1. Research and Evaluation (30%) Collaborate with MEL and network teams to design and implement rigorous process, outcome, and impact evaluations. Lead in the development of data collection tools and survey instruments. Manage survey data collection, reporting, and learning processes. Develop RISE learning and issue briefs supported by quantitative analysis. Design and implement causal inference approaches where applicable, including quasi-experimental designs. Provide technical input on statistical analysis plans, monitoring frameworks, and indicator selection for network programs. Translate complex findings into actionable insights and policy-relevant recommendations for non-technical audiences. Report data for RISE leadership and staff, generating new insights to inform program design. Create written reports, presentations, publications, and communications pieces. 2. Quantitative Analysis and Statistical Modeling (30%) Clean, transform, and analyze large and complex datasets from internal surveys, the RISE data warehouse, and external data sources such as the National Student Clearinghouse (NSC). Conduct exploratory research that informs organizational learning. Lead complex statistical analyses using advanced methods (regression modeling, propensity score matching, difference in differences analysis, time-series analysis, etc). Contribute to data cleaning and analysis for key performance indicator reporting. Develop processes that support automation of cleaning and analysis for efficiency. Develop and maintain analytical code and workflows to ensure reproducibility. 3. Data Visualization and Tool-building (30%) Work closely with non-technical stakeholders to understand the question(s) they are asking and the use cases they have for specific data visualizations or tools Develop well-documented overviews and specifications for new tools. Create clear, compelling data visualizations and dashboards. Collaborate with Data Engineering to appropriately and sustainably source data for new tools. Manage complex projects to build novel and specific tools for internal or external stakeholders. Maintain custom tools for the duration of their usefulness, including by responding to feedback and requests from project stakeholders. 4. Data Governance and Quality Assurance (10%) Support data quality assurance protocols and standards across the MEL team. Ensure compliance with data protection, security, and ethical standards. Maintain organized, well-documented code and databases. Collaborate with the Data Engineering team to maintain RISE MEL data infrastructure. Qualifications Master's degree (or PhD) in statistics, economics, quantitative social sciences, public policy, data science, or related field. Minimum of 3 years of professional experience conducting statistical analysis and managing large datasets. Advanced proficiency in R, Python, or Stata for data analysis and modeling. Experience designing and implementing quantitative research and evaluation studies. Strong understanding of inferential statistics, experimental and quasi-experimental methods, and sampling design. Strong knowledge of survey data collection tools such as Key Surveys, Google Forms, etc. Excellent data visualization and communication skills Experience with data visualization tools; strong preference for Tableau. Ability to translate complex data into insights for diverse audiences, including non-technical stakeholders. Ability to cultivate relationships and earn credibility with a diverse range of stakeholders. Strong organizational and project management skills. Strong sense of accountability and responsibility for results. Ability to work in an independent and self-motivated manner. Demonstrated proficiency with Google Workspace. Commitment to equity, ethics, and learning in a nonprofit or mission-driven context. Positive attitude and willingness to work in a collaborative environment. Strong belief that all students can learn and achieve at high levels. Preferred Experience working on a monitoring, evaluation, and learning team. Familiarity with school data systems and prior experience working in a school, district, or similar K-12 educational context preferred. Experience working with survey data (e.g., DHS, LSMS), administrative datasets, or real-time digital data sources. Working knowledge of data engineering or database management (SQL, cloud-based platforms). Salary Range $85k - $105k Most new hires' salaries fall within the first half of the range, allowing team members to grow in their roles. For those who already have significant and aligned experiences at the same level as the role, placement may be at the higher end of the range. The Connecticut RISE Network is an equal opportunity employer and welcomes candidates from diverse backgrounds.

About Us Bexorg is revolutionizing drug discovery by restoring molecular activity in postmortem human brains. Through our BrainEx platform, we directly experiment on functionally preserved human brain tissue, creating enormous high-fidelity molecular datasets that fuel AI-driven breakthroughs in treating CNS diseases. We are looking for a Junior Data Scientist to join our team and dive into this one-of-a-kind data. In this onsite role, you will work at the intersection of computational biology and machine learning, helping analyze high-dimensional brain data and uncover patterns that could lead to the next generation of CNS therapeutics. This is an ideal opportunity for a recent graduate or early-career scientist to grow in a fast-paced, mission-driven environment. The Job Data Analysis & Exploration: Work with large-scale molecular datasets from our BrainEx experiments - including transcriptomic, proteomic, and metabolic data. Clean, transform, and explore these high-dimensional datasets to understand their structure and identify initial insights or anomalies. Collaborative Research Support: Collaborate closely with our life sciences, computational biology and deep learning teams to support ongoing research. You will help biologists interpret data results and assist machine learning researchers in preparing data for modeling, ensuring that domain knowledge and data science intersect effectively. Machine Learning Model Execution: Run and tune machine learning and deep learning models on real-world central nervous system (CNS) data. You'll help set up experiments, execute training routines (for example, using scikit-learn or PyTorch models), and evaluate model performance to extract meaningful patterns that could inform drug discovery. Statistical Insight Generation: Apply statistical analysis and visualization techniques to derive actionable insights from complex data. Whether it's identifying gene expression patterns or correlating molecular changes with experimental conditions, you will contribute to turning data into scientific discoveries. Reporting & Communication: Document your analysis workflows and results in clear reports or dashboards. Present findings to the team, highlighting key insights and recommendations. You will play a key role in translating data into stories that drive decision-making in our R&D efforts. Qualifications and Skills: Strong Python Proficiency: Expert coding skills in Python and deep familiarity with the standard data science stack. You have hands-on experience with NumPy, pandas, and Matplotlib for data manipulation and visualization; scikit-learn for machine learning; and preferably PyTorch (or similar frameworks like TensorFlow) for deep learning tasks. Educational Background: A Bachelor's or Master's degree in Data Science, Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field. Equivalent practical project experience or internships in data science will also be considered. Machine Learning Knowledge: Solid understanding of machine learning fundamentals and algorithms. Experience developing or applying models to real or simulated datasets (through coursework or projects) is expected. Familiarity with high-dimensional data techniques or bioinformatics methods is a plus. Analytical & Problem-Solving Skills: Comfortable with statistics and data analysis techniques for finding signals in noisy data. Able to break down complex problems, experiment with solutions, and clearly interpret the results. Team Player: Excellent communication and collaboration skills. Willingness to learn from senior scientists and ability to contribute effectively in a multidisciplinary team that includes biologists, data engineers, and AI researchers. Motivation and Curiosity: Highly motivated, with an evident passion for data-driven discovery. You are excited by Bexorg's mission and eager to take on challenging tasks - whether it's mastering a new analysis method or digging into scientific literature - to push our research forward. Local to New Haven, CT preferred. No relocation offered for this position. Bexorg is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do their best work. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Bexorg will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.

Accepting applicants in CT, FL, MN, NJ, NC, OH, TX Mediate.ly is seeking a hands-on Data Scientist to elevate media performance analysis, predictive modeling, and channel optimization. In this role, you'll leverage advanced machine learning techniques and generative AI tools to uncover actionable insights, automate reporting, and enhance campaign effectiveness across digital channels. You'll manage and evolve our existing performance dashboard (with a small external team), own the feature roadmap, and collaborate closely with Primacy on SEO/CRO data integration. A key part of the role involves supporting Account teams with clear, insight-rich reporting powered by enhanced data storytelling and visualization. This was meant for you if you are passionate and skilled in transforming complex datasets into clear, compelling insights. Measures: AI-Enhanced Reporting & Insight Automation Business & Media Impact Reporting Standardization and Quality Dashboard & Data Product Ownership Reports to: President RESPONSIBILITIES: Media & Channel Analytics Analyze paid media across Google Ads, Meta, LinkedIn, Programmatic, YouTube; translate results into clear recommendations. Build/maintain attribution approaches (last-click, MTA, assisted) and funnel diagnostics. Integrate CRM/GA4/platform data to surface actionable trends by geo, audience, and creative. Predictive Modeling & Experimentation Develop forecasting and propensity models to guide budget allocation and channel mix. Run simulations (CPM/CPC/conv-rate scenarios) and design A/B and lift tests. Partner with SEO/CRO to connect acquisition with on-site conversion improvements. Dashboard Ownership (Existing Platform) Manage the dashboard development team (backlog, priorities, sprints) and collaborate on new features that improve usability and insight depth. Gather stakeholder requirements (Accounts, Media, Leadership) and maintain a transparent roadmap. Ensure data reliability (ETL QA, schema governance, tagging/UTM standards). Reporting & Client Enablement Support Account teams with data-backed, insight-driven reporting (monthly/quarterly reviews, executive summaries, narrative analyses). Build repeatable report templates; automate where possible while preserving clear storytelling. AI & Product Ideation Explore LLM/ML use cases (persona signals, creative scoring, conversion prediction). Prototype lightweight tools for planners/buyers (e.g., channel recommender, influence maps). What it takes to succeed in this role- QUALIFICATIONS: 5-7 years in data science/marketing analytics/digital media performance. Proficient in Python or R; strong SQL; experience with GA4/BigQuery and media platform exports. Comfort with BI tools (Looker Studio, Tableau, Power BI) and dashboard product management/ Data visualization. Familiarity with generative AI tools (e.g., OpenAI, Hugging Face, or Google Vertex AI) for automating insights, reporting, or content analysis. Comfortable in a fast-paced environment with competing priorities. Experience applying machine learning models to media mix modeling, customer segmentation, or predictive performance forecasting. Strong understanding of marketing attribution models and how to evaluate cross-channel performance using statistical techniques. Excellent communicator who can turn data into decisions for non-technical stakeholders. Experience with paid media a plus! Key Competencies Data Visualization & Storytelling - Skilled in transforming complex datasets into clear, compelling insights using tools like Tableau, Power BI, or Python libraries. AI & Machine Learning Expertise - Proficient in applying supervised and unsupervised learning techniques to optimize media performance and audience targeting. Media Analytics & Attribution - Deep understanding of digital media metrics, multi-touch attribution models, and cross-channel performance analysis. Dashboard Development & Management - Experience managing analytics dashboards, defining feature roadmaps, and collaborating with developers for scalable solutions. SEO/CRO Data Integration - Ability to synthesize SEO and conversion rate optimization data to inform predictive models and campaign strategies. Stakeholder Communication - Strong ability to translate data into actionable insights for Account teams and clients, supporting strategic decision-making. Automation & Efficiency - Familiarity with AI tools to streamline reporting, anomaly detection, and campaign optimization workflows. Statistical Analysis & Experimentation - Proficient in A/B testing, regression analysis, and causal inference to validate media strategies. The Perks: The best co-workers you'll ever find Unlimited PTO Medical, Dental, Vision, 401k plus match Annual performance bonus eligibility Ongoing training opportunities Planned outings and team events (remote workers included!) PHYSICAL DEMANDS AND WORK ENVIRONMENT: Prolonged periods of sitting at a desk and working on a computer. Occasional standing, walking, or lifting of office supplies (up to 10-20 lbs.) Frequent communication via phone, email, and video conferencing. Work is performed in a temperature-controlled office environment with standard lighting and noise levels. Position may require occasional travel to client site Compensation Range: We offer a competitive salary based on experience and qualifications. The compensation range for this position is $90,000 to $100,000 annually, with potential for bonuses, stock and additional benefits. EEO & Accessibility Statement Primacy is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require reasonable accommodation during the application or interview process, please contact [email protected]

Computech Corporation provides IT and consulting services to various customers across the globe. We are a Minority Certified Company with over 15 years of industry experience. Our global delivery model and proven track record enable companies to realize improved business efficiency and increased profitability. Job Description General Description: Part of the PepsiCo Quality Program (PQP), global business teams are classifying specifications/ingredients to enable food safety hazard assessment with a focus on FSMA (Food Safety Modernization Act) compliance. The identified resource will support sectors/business units with the mapping exercise as appropriate and coordinate incoming change requests for changes and re-assessments. Keen insights regarding raw materials in the manufacture of food and beverage will enable analysis of scientific research and identification of hazards associated with food materials. Fulfill Data Steward responsibilities in responding to change management of the material classification tool. Act as a point person/clearing house contact as questions arise and address SME teams when needed. Collaborate with business sectors globally to train, update, and communicate application of the classification tool and changes to the tool. Support enhancement of the hazard analysis with internal and external tools and data systems. Support automation project by liaising with database developers. Conduct user acceptance testing. Support accurate and timely mapping of ingredients to the new material classification. Maintain master files and adhere to document control procedures. Support related Food Safety technical services as needed. Qualifications Skills/Qualifications: Certification in or working knowledge of Food Safety and Quality systems Crisis management / recall management experience Additional Information Requirements: Knowledge of food materials and associated biological and chemical hazards and a general understanding of physical, chemical, and biological hazards associated with different categories of food and beverage ingredients. Experience in food safety, microbiology, and/or toxicology is preferred. Exposure to product development, manufacturing, and/or supply quality is also desirable (5+ years). Practical knowledge of food ingredients (how they are grown, cultivated, harvested, processed, distributed) and risk assessment thereof (5+ years) Excellent proficiency with Microsoft Excel; high frequency user experience with database/ product lifecycle management tools (e.g., Product Vision, SAP) (5+ years) Basic understanding of the Food Safety Modernization Act, domestic and international regulatory requirements Influential written and verbal communication skills; excellent organizational skills

About Altus Power Altus Power is a leading U.S. clean power company, driving the commercial-scale solar economy through a fully integrated platform that invests in, constructs, develops, finances, owns and operates renewable energy infrastructure. With over 1GW of operating assets across 26 states, we're delivering innovative, high-impact energy solutions to Fortune 1000 companies, financial institutions, households, municipalities and more. A portfolio company of TPG Rise Climate and backed by financial partners like Blackstone and Goldman Sachs, we're built for scale, accelerating the shift to reliable, local clean power for communities and businesses nationwide. Headquartered in Stamford, Conn. - just a short train ride from New York City - we offer a fast-paced, collaborative environment where passionate, mission-driven professionals come together to power a cleaner future. We lead with vision. We act with purpose. And we're looking for smart, driven people ready to help power what comes next. About the Position The Junior Energy Optimization Data Analyst supports the team by applying strong quantitative analysis skills to interpret data and generate insights that inform business decisions. In this role, you will assist with contract management by helping organize, track and review contractor documentation. As such, the Analyst performs a variety of organizational tasks, such as managing documents, maintaining organized records, and supporting the team with day-to-day operational needs. Collaboration with cross-functional teams-including engineering, construction, and accounting-is an essential part of the role, ensuring that data-driven insights and administrative support contribute to the success of projects across the organization. The ideal candidate is detail-oriented, technically curious, and eager to develop a deep understanding of renewable energy systems, data analytics tools, and solar project operations. Additionally, the analyst will demonstrate a keen interest in learning how to run meetings and lead engagements, gradually taking on more responsibility in collaborative settings. Responsibilities: 1. Data Collection and Quality Control * Ensure the accuracy and completeness of datasets used for reporting and analysis. * Identify missing, corrupted, or inconsistent data and coordinate with the field operations team to resolve issues. 2. Contract Management Support * Maintain accurate records of service contracts and warranties. * Assist in tracking contract compliance, deadlines, and renewal schedules. 2. Field Data Analysis and Reporting * Identify trends, anomalies, and opportunities for improvement. * Build and maintain dashboards using Excel, Power BI, Tableau, or similar tools. * Assist in the visualization of trends or O&M metrics and provide ad-hoc analytical support. 3. Operational Support & Resource Planning * Support planning and allocation of field personnel and equipment based on maintenance and operational needs. * Analyze historical data to optimize resource utilization. 4. Continuous Improvement and Learning * Support the automation of data collection, cleaning, and reporting processes using scripts or APIs. Requirements: * Bachelor's degree in Data Science, Physics, Statistics, Engineering, Environmental Science, or a related field. * 0-2 years of experience in data analytics, preferably in the energy, utilities, or sustainability sector (internships and academic projects count). * Proficiency in Excel, Power BI, or Tableau for data visualization. * Familiarity with SQL, Python, or R for data analysis and automation is a plus. * Understanding of solar PV system components (modules, inverters, BOS) and energy metrics a plus. * Comfortable working with large datasets and time-series data. * Strong attention to detail and analytical mindset. * Effective communicator with both technical and non-technical stakeholders. * Team-oriented, proactive, and eager to learn. * Ability to manage multiple tasks and meet deadlines. Work Life at Altus Our team is the asset we are most proud of. We aim to create a positive work-life balance. Here are a few of the benefits we offer: * Competitive compensation * Health and Dental Insurance (100% of premium paid of Company's standard policy) * Participation in 401k Plan * Paid cell phone service on Company's plan * Company paid lunch in the office * Company paid membership to building gym * Two monthly work from home days Altus is unequivocally committed to the principles of equal employment.

Company Details "Our Company provides a state of predictability which allows brokers and agents to act with confidence." Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States. Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion. Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth. The Company is an equal employment opportunity employer. Responsibilities *Please provide a one-page resume when applying. Enterprise Risk Management (ERM) Team Our key risk management aim is to maximize Berkley's return on capital over the long term for an acceptable level of risk. This requires regular interaction with senior management both in corporate and our business units. The ERM team comprises ERM actuaries and catastrophe modelers responsible for identification, quantification and reporting on insurance, investment, credit and operational risks. The ERM team is a corporate function at Berkley's headquarters in Greenwich, CT. The Role The successful candidate will collaborate with other ERM team members on a variety of projects with a focus on exposure management and catastrophe modeling for casualty (re)insurance. The candidate is expected to demonstrate expertise in data and analytics and be capable of presenting data-driven insights to senior executives. Key responsibilities include: Casualty Accumulation and Catastrophe Modeling • Lead the continuous enhancement of the casualty data ETL process • Analyze and visualize casualty accumulations by insureds, lines and industries to generate actionable insight for business leaders • Collaborate with data engineers to resolve complex data challenges and implement scalable solutions • Support the development of casualty catastrophe scenarios by researching historical events and emerging risks • Model complex casualty reinsurance protections Risk Process Automation and Group Reporting • Lead AI-driven initiatives aimed at automating key risk processes and projects • Contribute to Group-level ERM reports, including deliverables to senior executives, rating agencies and regulators Qualifications • Minimum of 5 years of experience in P&C (re)insurance, with a focus on casualty • Proficiency in R/Python and Excel • Strong verbal and written communication skills • Proven ability to manage multiple projects and meet deadlines in a dynamic environment Education Requirement • Minimum of Bachelor's degree required (preferably in STEM) • ACAS/FCAS is a plus Sponsorship Details Sponsorship Offered for this Role

Atlas Air is seeking a detail-oriented and analytical Network Planning Analyst to help optimize our global cargo network. This role plays a critical part in the 2-year to 11-day planning window, driving insights that enable operational teams to execute the most efficient and reliable schedules. The successful candidate will provide actionable analysis on network delays, utilization trends, and operating performance, build models and reports to govern network operating parameters, and contribute to the development and implementation of software optimization tools that improve reliability and streamline planning processes. This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to translate data into operational strategies that protect service quality and maximize network efficiency. Responsibilities * Analyze and Monitor Network Performance * Track and assess network delays, capacity utilization, and operating constraints to identify opportunities for efficiency gains and reliability improvements. * Develop and maintain key performance indicators (KPIs) for network operations and planning effectiveness. * Modeling & Optimization * Build and maintain predictive models to assess scheduling scenarios and network performance under varying conditions. * Support the design, testing, and implementation of software optimization tools to enhance operational decision-making. * Reporting & Governance * Develop periodic performance and reliability reports for customers, assisting in presentation creation * Produce regular and ad hoc reports to monitor compliance with established operating parameters. * Establish data-driven processes to govern scheduling rules, protect operational integrity, and ensure alignment with reliability targets. * Cross-Functional Collaboration * Partner with Operations, Planning, and Technology teams to integrate analytics into network planning and execution. * Provide insights that inform schedule adjustments, fleet utilization, and contingency planning. * Innovation & Continuous Improvement * Identify opportunities to streamline workflows and automate recurring analyses. * Contributes to the development of new planning methodologies and tools that enhance decision-making and operational agility. Qualifications * Proficiency in SQL (Python and R are a plus) for data extraction and analysis; experience building decision-support tools, reporting tools dashboards (e.g., Tableau, Power BI) * Bachelor's degree required in Industrial Engineering, Operations Research, Applied Mathematics, Data Science or related quantitative discipline or equivalent work experience. * 5+ years of experience in strategy, operations planning, finance or continuous improvement, ideally with airline network planning * Strong analytical skills with experience in statistical analysis, modeling, and scenario evaluation. * Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment. * Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders. * A proactive, solution-focused mindset with a passion for operational excellence and continuous improvement. * Knowledge of operations, scheduling, and capacity planning, ideally in airlines, transportation or other complex network operations Salary Range: $131,500 - $177,500 Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at ****************************************** To view our Pay Transparency Statement, please click here: Pay Transparency Statement "Know Your Rights: Workplace Discrimination is Illegal" Poster The "EEO Is The Law" Poster

At the New York Power Authority, you will be empowered to think big, do good, and transform the energy industry. We are a collaborative team of over 2,400 energy technologists, IT specialists, business experts, hydro engineers, and diverse professionals leading the energy revolution. With state-of-the-art technology, advanced research and development, a modernized infrastructure, and a focus on environmental, social and governance (ESG), we provide New Yorkers with low-cost, clean, reliable power - and we are well on the way to becoming the first end-to-end digital utility in the country. Our team is a centralized data analytics conducting use cases in both AI and BI area. We are looking for a motivated Data Science Intern to join our team for the upcoming Summer. You will be embedded directly into our Analytics team, working on real datasets and contributing to projects that impact our business strategy. This role is designed to bridge the gap between academic theory and industry application. You will receive mentorship from senior data scientists, participate in code reviews, and gain hands-on experience with the modern data stack. Our paid 10-week Summer Developmental Internship program runs from June 2 - August 7, 2026. As an Intern, you will receive professional development, on-the job experience in the energy industry, exposure to executives, and networking opportunities to help build a solid foundation for your future career. Applications will close on February 15, 2026. If you are passionate about our mission - to lead the transition to a carbon-free, economically vibrant New York through customer partnerships, innovative energy solutions, community engagement and the responsible supply of affordable, clean, and reliable electricity, we are looking for you! #LI-KM1 Responsibilities * Participate in department-specific projects, analysis, research methods and learn project management skills * Support team in developing business solutions that contribute to NYPA's VISION2030 strategic goals * Research industry trends and emerging technologies to contribute to the continuous improvement of our programs * Other projects as assigned; will vary based on focus area Knowledge, Skills and Abilities * Proficiency in Microsoft Office programs, especially Excel, PowerPoint, Outlook * Excellent verbal and written communication skills * Strong organizational skills and ability to multi-task with competing priorities * Ability to work both independently and collaborate as part of a team * Provide positive customer service for internal and external stakeholders Education, Experience and Certifications Enrollment in an associate's, undergraduate or graduate program at a college or university is required. Recent graduates are not eligible for our Developmental Internship program. Must be legally eligible to work in the United States for the duration of the internship from June 2 - August 7 Physical Requirements The New York Power Authority is committed to providing fair, competitive, and market-informed compensation. The hourly rate for this position is based on the level of education at the time the intern program begins: LEVEL HOURLY RATE Sophomore $17.50 Junior $21.50 Senior (or May 2027 graduate) $21.50 Current graduate/law student $24.50 The New York Power Authority and Canal Corporation believes that diversity, equity, and inclusion drive our success, and we encourage women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents and veterans to apply. As an equal opportunity employer, NYPA/Canals is committed to building inclusive, innovative work environments with employees who reflect communities across New York and enthusiastically serve them. We proudly celebrate diversity and do not discriminate based on race/color, creed/religion, national origin, citizenship or immigration status, age, disability, military status, gender/sex, sexual orientation, gender identity/expression, pregnancy and related conditions, familial/marital status, domestic violence victim status, predisposing genetic characteristics, arrest/criminal conviction record or any other category protected by law. NYPA/Canals will also provide reasonable accommodations during the hiring process related to candidates' disabilities, pregnancy-related conditions, religious observances/practices and/or domestic violence concerns. To request an accommodation, please email accessibility@nypa.gov. Nearest Major Market: White Plains Nearest Secondary Market: New York City Job Segment: Summer Internship, Intern, R&D, Project Manager, Entry Level, Research, Technology

**RWE Clean Energy, LLC** **To start as soon as possible, full time, fixed term** **Functional area:** IT / Digital **Remuneration:** Non-Exempt Digital Solutions is responsible for the development and management of RWE Clean Energy's application and custom software development portfolio. The **Business Analyst Intern** will have the opportunity to work on a transformation initiative in partnership with Clean Energy IT and Business stakeholders. The Intern will support business analysis and project implementation activities within the organization. This position could be involved in several aspects of the product development life cycle including gathering user requirements, designing the application, developing and programming the code, end-to-end testing, deployment and documentation. The applicant must have the ability to perform tasks independently and/or with minimum guidance. **Role Responsibilities:** + Assist in gathering and organizing business requirements from stakeholders and end users through interviews, workshops, and documentation review + Support analysis of existing business models and operations, identifying areas for improvement under guidance + Participate in requirements documentation, drafting user stories, use cases, and basic functional specifications + Support communication and follow-ups during project meetings + Help prepare and deliver presentations and training materials for proposed changes to staff and business teams + Assist in project implementation activities, such as tracking assigned tasks and preparing documentation for third-party resources + Participate in QA and testing efforts, including executing test scripts and documenting results for smaller features or enhancements + Support problem identification and root cause analysis, recommending solutions under supervision + Assist in application management tasks, including user access support, license audits, and maintaining admin guides + Learn to coordinate with vendors on minor upgrades or application support needs, shadowing senior team members **Job Requirements and Experiences:** + Working on a degree in Computer Science, Information Systems or related field + Ability to learn new technologies as required for the job using documentation and other available sources + Ability to handle multiple assignments with changing priorities while meeting deadlines + Strong interpersonal skills, with ability to manage customer relationships + Demonstrated desire to learn about the Company and the renewables space + Excellent proficiency with Microsoft Office suite (Excel, Word, PowerPoint, Outlook, SharePoint, Teams) + Some knowledge of business analysis methodologies, tools, and techniques, such as data flow diagrams, entity-relationship diagrams (ERD), cross functional diagrams, user stories, wireframes, Agile, Scrum, etc. + Strong leadership and communication, and ability to meet deadlines + Strong organization skills and ability to coordinate multiple tasks and deliverables + Motivated self-starter, goal-oriented, and strong problem-solving abilities + Proven ability to empathize, build relationships, and effectively communicate with people from a diverse set of backgrounds at all levels of the organization + Is a team player embracing the spirit of continuous improvement personally and within the team + Is detail-oriented, has strong business acumen, and a sound understanding of business concepts _Applicants must be legally authorized to work in the United States. RWE Clean Energy is unable to sponsor or take over sponsorship of employment visas at this time._ **Pay range:** The base hourly range for this position in New York for undergraduates is $25.00-$35.00 an hour, and for graduates is $30.00--$40.00 The listed salary range represents our good faith estimate for this position and represents the range for new hire salaries across all U.S locations. Please note that the salary information is a general guideline only. RWE considers factors such as (but not limited to) scope and responsibilities of the position, candidate's education & work experience, training & certifications, and key skills as well as market and business considerations at the time of the offer. **Benefits offered:** Paid time off and Holidays. Apply with just a few clicks: ad code 91338. Any questions? Contact HR: rwece_****************** We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. RWE Clean Energy is the third largest renewable energy company in the United States, with a presence in most U.S. states from coast to coast. RWE's team of about 2,000 employees in the U.S. stands ready to help meet the nation's growing energy needs. With its homegrown and fastest-to-market product, RWE supports the goal of American Energy dominance and independence. To that end, RWE Clean Energy is committed to increasing its already strong asset base of over 10 gigawatts of operating wind, solar and battery projects, focusing on providing high-quality jobs. RWE invests in local and rural communities while strengthening domestic manufacturing supporting the renaissance of American industry. This is complemented by RWE's energy trading business. RWE is also a major offtaker of American liquified natural gas (LNG).