Data science internship jobs in Sunrise, FL

Data Scientist (Python / PostgreSQL / PyTest) Must Have Technical/Functional Skills Data Scientist with strong expertise in Python, PostgreSQL, and PyTest to join our team. The role involves building advanced data models, performing statistical analysis, and implementing automated testing frameworks for enterprise-grade solutions. Roles & Responsibilities · Develop and deploy data science models and algorithms using Python. · Perform data extraction, transformation, and analysis leveraging PostgreSQL and Pandas. · Design and implement robust automated test suites using PyTest for data pipelines and models. · Conduct exploratory data analysis (EDA) and feature engineering for predictive modeling. · Collaborate with stakeholders to define data-driven solutions and business insights. · Optimize SQL queries and database structures for performance and scalability. · Integrate models into production systems with CI/CD pipelines and testing gates. · Ensure data quality, security, and compliance with enterprise standards. · Document methodologies, workflows, and maintain reproducibility of experiments. · Provide production support and troubleshoot data-related issues Required Qualification · 5+ years of experience in Data Science and Python programming. · Strong knowledge of statistical modeling, machine learning techniques, and data visualization. · Expertise in PostgreSQL (schema design, query optimization, indexing). · Proficiency in PyTest for automated testing and CI/CD integration. · Hands-on experience with Pandas and NumPy for data manipulation. · Familiarity with Git-based workflows and CI/CD tools. · Strong problem-solving skills and ability to communicate technical concepts clearly. Generic Managerial Skills, If any · Experience with SQLAlchemy, Airflow, or Prefect for workflow orchestration. · Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker). · Exposure to big data technologies (Spark, Hadoop) and streaming platforms (Kafka). · Prior experience in BFSI domain. Data Science, Python, Pandas, PostgreSQL, PyTest, Machine Learning, CI/CD, SQL Performance, Airflow, Docker, Kafka. Interested candidates please share me your updated resume to *******************

Curious about what's next in marketing, technology, and creativity? At Razorfish, we don't just follow trends-we help shape them. Our 2026 Summer Internship Program is designed for bold thinkers who want hands-on experience, meaningful collaboration, and exposure to real client work. Applications are now open for college juniors, seniors, and recent graduates (up to six months post-graduation) who are eager to learn, contribute, and grow alongside industry leaders. Program Details * Internship Dates: June 1 - July 31, 2026 * In-Office: Hybrid (3 days per week in-office) - designed for collaboration, creativity, and connection * Office Locations: Chicago | Miami | New York | Birmingham, MI What You'll Experience * Real Client Work: Gain hands-on real-world experience working with leading brands, and see your ideas move from concept to execution. * Mentorship & Support: Learn from experienced teammates who provide guidance, feedback, and insight into agency life. * A Culture That Values Your Voice: We encourage fresh perspectives and thoughtful ideas. You'll be invited to participate, share, and challenge our thinking. * Professional Development: Build your skills through a guided campaign pitch competition, with access to industry-leading learning tools. * Connection & Growth: Collaborate with cross-disciplinary teams and build relationships across the agency. High-performing interns may be considered for full-time opportunities, with continued growth supported through our early career development programs. Who You Are * A college junior, senior, or recent graduate (up to six months post-graduation) * A student or recent graduate in Marketing, Advertising, Communications, Business, or a related field * A strong communicator with an interest in storytelling, branding, and digital marketing * Collaborative, adaptable, and comfortable working in a fast-paced, team-oriented environment Overview As a Data Science & Analytics Intern, you will be responsible for analysis/reporting, data strategy, and optimization recommendations to enable a data-driven SEO program. The role combines a passion for finding opportunity areas in the SEO/SEM program supported by deep analysis and insights, all stemming from your natural curiosity and need to understand the "why" behind data. Responsibilities What you'll do * Assist the team in analyzing content and identifying overall program success and marketing opportunities that could increase the performance of the site * Responsible for assisting the team with keyword research, dashboard creation, maintenance, and updates, aimed to improve overall SEO analytics Qualifications * Bachelor's degree or equivalent work experience * A storyteller, be able to make sense of data and extrapolate meaningful and actionable insights * Experience in creating and delivering presentations using PowerPoint * Experience with Adobe Analytics, Google Search Console, dashboarding (tableau/Power BI), Google data studio, excel * Experience with Python a plus Additional information At Publicis Groupe, we offer medical and voluntary benefits to our freelancers and temporary employees. Voluntary benefit options include supplemental medical insurance, transportation, and parking benefits, legal benefits, pet insurance, and auto and home insurance. You must be actively employed for 90 consecutive calendar days in order to be eligible for Publicis medical and voluntary benefits. You will also be eligible to participate in the Publicis 401(k) Plan after you complete 1,000 work hours in a consecutive 12-month period. Razorfish is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances. All your information will be kept confidential according to EEO guidelines. Compensation Range: $20 hourly. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 02/03/2026.

Working Title: Internship Salary: To Be Determined by the Agency Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and Responsibilities: The State of Florida is seeking motivated individuals to join our workforce. Our agencies are looking for bright, highly motivated college students and recent graduates to participate in a unique opportunity to gain experience firsthand in the operations of state government while obtaining valuable on-the-job training. As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions. * Assist with the maintenance, ongoing support, and reporting for automation across the agency. * Assist in collecting, cleaning, and preprocessing structured and unstructured datasets from various sources. * Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the improvement of data quality, data governance, and metadata standards. * Conduct research on emerging tools, techniques, and technologies. Applications are accepted year-round. Internships may be paid or unpaid and there is no guarantee of employment. Knowledge, Skills, and Abilities: * Knowledge of data analytics methodologies and tools. * Ability to work independently as well as with others. * Knowledge of data modeling, data mining and data cleansing techniques; and data analysis. * Knowledge of automation and application of automation tools. * Ability to prioritize tasks, meet deadlines, and manage time effectively. * Knowledge of statistics & statistical modeling. * Ability to collect, evaluate, and prioritize automation opportunities. * Proven ability to work ethically and with integrity. Minimum Qualifications: * Must be currently enrolled or graduated within the last twelve months from an accredited college or university degree program. * Working knowledge of database systems and querying languages (e.g., SQL) to extract and manipulate data efficiently. The State of Florida is an Equal Opportunity Employer/Affirmative Action Employer, and does not tolerate discrimination or violence in the workplace. Candidates requiring a reasonable accommodation, as defined by the Americans with Disabilities Act, must notify the agency hiring authority and/or People First Service Center (***************. Notification to the hiring authority must be made in advance to allow sufficient time to provide the accommodation. The State of Florida supports a Drug-Free workplace. All employees are subject to reasonable suspicion drug testing in accordance with Section 112.0455, F.S., Drug-Free Workplace Act. Location:

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description Job Title : Data Warehouse Analyst III Location : Miramar FL Duration: 12+ Months PRIMARY RESPONSIBILITIES: Interpret data, analyze results using statistical techniques and provide ongoing reports Identify, analyze, and interpret trends or patterns in complex data sets Analyze potential data sources and develop data ingestion and integration plans. Locate and define new process improvement opportunities Work with internal business partners to refine incoming reporting and analysis requests and convert to specific actionable requirements. Convert business requirements into reports by creating MSSQL Stored procedures and reports using Microsoft SQL Server Reporting Services. REQUIREMENTS: Proven working experience as a data analyst or business data analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge of and experience with reporting packages (SSRS etc), databases (SQL etc), ETL programming (SSIS). Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SRSS, SSAS, Tableau, etc) Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Adept at queries, report writing and presenting findings BS in Mathematics, Economics, Computer Science, Information Management or Statistics Strong oral and written communication skills. Additional Information For more information, Please contact Prabha. D ************

DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery * Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals * Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives * Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive * Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals. * Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers. * Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes. Visualization / Storytelling: * Work with stakeholders to understand and align on business requirements * Create and maintain dashboards and Apps, as required * Deliver actionable insights to improve business processes and drive strategic conversations * Track and monitor usage metrics to understand and measure adoption/impact of analytics * Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: * Identify root source of data integrity issues (report, DFL, data warehouse, source system) * Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: * Create complex data models in visualization tools, and make transformations as needed * Query Data Warehouse using SQL to quickly analyze datasets * Clean data, as required * Identify potential new datasets to add to the Data Warehouse * Identify potential new integrations between source systems and the Data Warehouse * Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation * Work with Data Engineering in the development and maintenance of the data catalog * Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance * Follow, implement, and enhance data security and governance guidelines * Create, maintain, and implement security for DFLs * Review requests and grant access to DFLs, Reports, and Apps, as needed * Create and maintain RLS in visualization tool, where needed * Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management * Complete impact analysis on reports when changes are made to source systems or tables upstream * Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization * Identify opportunities for data collaboration and integration between disciplines * Coordinate alignment, as applicable, across other T&I groups * Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery * Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing * Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy * Train end-users on how to use and interpret information/insights on deployed dashboards/reports * Train end-users on how to build reports themselves * Provide "on-the-job' training to business stakeholders when needed * Work with Data Engineering and others to develop and maintain tool for Self Service Analytics * Increase data literacy of business stakeholders through targeted trainings and conversations * Identify opportunities to improve data literacy throughout DPR Data SME * Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology * Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users * Ensure source of truth system(s) are identified and operational Qualifications * Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. * Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred. * Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred. * Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred. * Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. * Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. * Proven analytic skills, including data mining, evaluation, analysis, and visualization. * Ability to create data models and understand dependencies between source systems. * Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. * Experience with consuming APIs from the client side including REST and GraphQL. * Experience with SQL scripting required. * Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. * Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. * Demonstrated success in building trusted relationships with internal/external clients and customers. * A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Applicants: In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Ranges based on DPR Office Locations: Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332 Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198 Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398 Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598 DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

NOTE: Only US citizens will apply. Applications from other countries are not acceptable. Data Analyst (Entry Level Position) - Full-Time Position. The ideal candidate is a team player who will be responsible for working with company data in various business areas. Specific Responsibilities include: Reporting metrics. Analyzing methodologies. Suggesting Operation Improvements, and building proposal evaluations in a cross-functional environment. Responsibilities: Track and report data. Build cross-functional partnerships, internally and externally. Manage budgets. Maintain a competitive market knowledge. Qualifications: Bachelor's degree or equivalent experience. Fluency in Microsoft Office suite (Outlook, Excel, Word, PowerPoint, etc.). Strong written, verbal, and collaboration skills.

Data Governance & Metadata Scientist Clearance: Must be a US Citizen with the ability to obtain a Government Security Clearance Who We Are: Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we've served as trusted advisors supporting our client base within the commercial, federal, and state and local markets. What We Do: At our very core, we're a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions. What You'll Do: The Data Governance & Metadata Scientist will design, implement, and maintain enterprise‑level data governance frameworks to ensure metadata consistency, lineage visibility, and interoperability across Data Lake environments, ESRI Kubernetes platforms, and external data sources. This role requires deep expertise in metadata management, geospatial data standards, and DoD‑compliant governance practices. The ideal candidate brings strong technical proficiency, analytical rigor, and hands‑on experience supporting metadata workflows in cloud‑based and geospatial ecosystems Responsibilities will include but are not limited to: Develop, implement, and maintain data governance frameworks for structured and unstructured data across cloud‑based and hybrid environments. Ensure metadata consistency, schema alignment, and interoperability across Data Lake, ESRI Kubernetes, and enterprise metadata repositories. Track and manage data lineage using tools such as Unity Catalog, OpenLineage, Apache Atlas, or similar metadata platforms. Maintain synchronization of metadata across catalogs, repositories, and geospatial systems. Apply governance best practices to support data quality, discoverability, and compliance. Enforce adherence to DoD metadata policies, NSG tradecraft standards, and geospatial data governance requirements. Support geospatial data cataloging, metadata enrichment, and integration workflows. Collaborate with data engineers, geospatial analysts, and system architects to ensure metadata alignment across the enterprise. Contribute to the development of metadata automation processes and governance documentation. What You'll Need: Bachelor's degree in Data Science, Information Management, GIS, or a related field; or a minimum of five (5) years of equivalent experience in data governance, metadata management, or geospatial data integration. Demonstrated experience in: Implementing metadata governance frameworks in cloud‑based environments Tracking data lineage and synchronizing metadata across catalogs and repositories Using OpenLineage, Apache Atlas, Unity Catalog, or similar tools Applying geospatial data standards and cataloging practices Ensuring compliance with DoD metadata policies and NSG tradecraft standards Proficiency in metadata management, schema alignment, and governance best practices. Strong understanding of geospatial data structures, ESRI ecosystems, and Kubernetes‑based geospatial deployments. Set Yourself Apart With: Certified Data Management Professional (CDMP) Equal Employer/Veterans/Disabled Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources. Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas.

High School Diploma or equivalent The ability to fluently read, write, understand and communicate in English 3 years of relevant experience, medical device industry or equivalent industry experience is preferred Preferred Requirements: Demonstrable expertise in algorithm development, including, coding, algorithm testing, algorithm validation, and preparing algorithm module for integration into product software / code-base Good working knowledge in ML algorithm development using image-based data and image processing is desirable Ability to conduct experiments to collect data and/or to support algorithm development Advanced expertise in software and other applications used by data scientist for algorithm development Aptitude for problem-solving, strong learning agility, and demonstrable ability to collaborate with other quantitative partners Exceptional written and verbal communication skills including the ability to collaborate effectively with multidisciplinary teams Well-developed organizational skills and the ability to manage several projects simultaneously High School Diploma or equivalent The ability to fluently read, write, understand and communicate in English 3 years of relevant experience, medical device industry or equivalent industry experience is preferred Preferred Requirements: Demonstrable expertise in algorithm development, including, coding, algorithm testing, algorithm validation, and preparing algorithm module for integration into product software / code-base Good working knowledge in ML algorithm development using image-based data and image processing is desirable Ability to conduct experiments to collect data and/or to support algorithm development Advanced expertise in software and other applications used by data scientist for algorithm development Aptitude for problem-solving, strong learning agility, and demonstrable ability to collaborate with other quantitative partners Exceptional written and verbal communication skills including the ability to collaborate effectively with multidisciplinary teams Well-developed organizational skills and the ability to manage several projects simultaneously

Job DescriptionSalary: $21.50-$30 Hourly At TaxFam, we provide expert tax preparation and financial services with over 15 years of experience. Our approach is rooted in accuracy, transparency, and personalized care. We treat each client as a member of our family, ensuring they receive the highest level of service and attention. As we continue to grow, we're looking for a detail-oriented and organized Jr. Tax Data Analyst to join our team. Position Summary: We are seeking a reliable Jr. Tax Data Analystto manage financial records for both individual and business clients. The Data Entry Clerk will be responsible for maintaining accurate financial data, ensuring compliance, and providing essential support to our tax preparation services. The ideal candidate is highly organized, proficient with accounting software, and has a passion for maintaining financial accuracy. Key Responsibilities: Record and maintain day-to-day financial transactions for clients Reconcile bank statements and track financial accounts Prepare financial reports, including balance sheets and income statements Assist in preparing documents for tax returns and audits Maintain organized financial records and ensure accuracy in all data entries Communicate with clients to gather financial information and provide updates Support the TaxFam team in ensuring compliance with tax regulations Analyze clients tax situation to strategize and provide them with the best outcome for their tax return Qualifications: Proven experience in accounting or any data analysis role Ability to work in a fast paced environment Strong knowledge of bookkeeping and accounting principles Proficiency in accounting software (QuickBooks, Excel, etc.) Strong attention to detail and accuracy in data entry Excellent organizational skills and ability to manage multiple tasks Effective communication skills to interact with clients and the TaxFam team Ability to handle confidential information with discretion What We Offer: Competitive pay Flexible scheduling (Full-Time) A supportive, family-oriented work environment Ongoing training and development opportunities Potential for growth within the company

Job Description : Associated Energy Group, LLC (AEG Fuels) is a global aviation fuels and services supply chain management company. The company's core business is the marketing and financing of fuel supply and logistics solutions for the world's largest airlines, militaries, and corporate operators. AEG Fuels serves its clients through a network of longstanding relationships with subcontracted parties around the world. Customers are afforded the benefits of negotiated fuel and throughput pricing based on AEG Fuel's aggregate volume within a network of over 3,000 airports as well as the company's specialized expertise in delivering products safely and on-time. AEG Fuels is dedicated to providing comprehensive support and unparalleled 24/7 service around the world. 30 different nationalities are represented on AEG's team and with offices in Miami, Houston, Toluca, Sao Paolo, London, Dubai, Singapore and Shanghai the company combines a global presence with a local touch. AEG Core Values: Excellence & Teamwork Entrepreneurship & Innovation Respect & Trust Always Do What's Right Job Overview: As a Data Scientist at AEG Fuels, you will be tasked with analyzing large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. You should be proficient in managing and executing data-related projects from conception to completion, including experience with integration or implementation projects involving ERP systems, and managing data within cloud infrastructure. Responsibilities: Identify valuable data sources and automate collection processes. Undertake preprocessing of structured and unstructured data. Analyze large amounts of information to discover trends and patterns. Build predictive models and machine-learning algorithms. Combine models through ensemble modeling. Present information using data visualization techniques. Propose solutions and strategies to business challenges. Collaborate with engineering and product development teams. Assist in the development and implementation of data governance and data quality standards. Lead and manage data-related projects, ensuring they align with business objectives and timelines. Participate in ERP integration and implementation projects, focusing on leveraging data insights for business optimization. Manage data operations within cloud infrastructure environments, ensuring scalability, security, and efficiency. Requirements: 8+ years of overall experience in the data space with 3+ years of recent experience as a Data Scientist with a background in Data Analysis, Engineering, or Architecture. Experience in data modeling and data mining. Experience in ETL pipeline management and development Understanding of machine-learning and operations research. Knowledge of R, SQL, and Python; familiarity with Scala, Java or C++ is an asset. Experience using business intelligence tools (e.g., Tableau, PowerBI) and data frameworks (e.g., Hadoop). Proven experience with ERP integration or implementation projects. Strong experience managing data within cloud infrastructure (AWS, Azure, Google Cloud). Analytical mind and business acumen. Problem-solving aptitude. Excellent communication and presentation skills. Experience in ETL tools and unified platforms (Synapse, DataFactory, Glue, Databricks, Snowflake, Fabric, etc.) is preferred BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred. What We Offer: Competitive salary package 4 weeks of PTO to start (for a total of 27 days). Health Benefits through Florida Blue Dental & Vision Insurance through SunLife 6% match on 401K A collaborative and innovative work culture.

At Genmab, we are dedicated to building extra[not]ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! Job Title Clinical Development Data Science Intern Why Genmab Our internship program provides interns with hands-on experience and relevant projects that directly align with our company's goals. Additionally, we believe our program provides a valuable opportunity to learn, thrive, and build a strong network. We encourage you to review our website to learn why we're always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary future. Job Overview The Clinical Development Data Science Intern will join Genmab's Clinical Development Data Science team and contribute to innovative AI/ML initiatives across the clinical development lifecycle. This role is ideal for a highly technical, impact-driven data scientist who is pursuing a Master's or PhD in a quantitative or computational discipline, and who is excited to apply modern machine learning, natural language processing, and generative AI to real clinical and scientific challenges in oncology. The intern will support projects such as building AI-powered tools to assist trial design, developing analytics pipelines for clinical and safety data, and prototyping advanced models that help clinicians and scientists make better, faster decisions. You will collaborate with experienced data scientists, data engineers, clinicians, and other cross-functional partners to deliver meaningful analyses, prototypes, and decision-support tools used across clinical development. What You'll Do Develop machine learning and NLP pipelines to extract, organize, and summarize information from clinical trial protocols, regulatory documents, and unstructured biomedical text. Support the development of AI-driven tools that: Accelerate protocol design through information retrieval, extraction, and summarization. Enhance pharmacovigilance and safety monitoring through risk modeling, anomaly detection, and severity prediction. Apply advanced modeling techniques including transformers, generative models, survival analysis, clustering, and other ML approaches. Experiment with explainability methods (e.g., SHAP, LIME) to improve the interpretability of models used in clinical decision-support contexts. Contribute to documentation, model evaluation, technical reviews, and final presentations to internal stakeholders. Required Qualifications, Capabilities and Skills Sustained progress in a PhD program in a quantitative or computational discipline (Computer Science, Data Science, Statistics, Physics, Computational Chemistry, Computational Biology, Applied Mathematics, Engineering, or related quantitative/technical field). Master's students with strong applied experience will also be considered. Strong proficiency in modern Python for machine learning and scientific computing (e.g., PyTorch/TensorFlow, scikit-learn, spa Cy, Hugging Face transformers, pandas, NumPy). Candidates should be experienced in building modular scripts and reusable modules, command-line utilities, and structured codebases for data processing and machine learning workflows. Experience applying ML or NLP methods to real-world datasets. Ability to design, build, and evaluate computational models end-to-end. Excellent analytical problem-solving abilities and intellectual curiosity. Clear written and verbal communication skills. High attention to detail, scientific rigor, and commitment to producing high-quality work. Ability to work independently as well as collaboratively within interdisciplinary teams. Preferred Qualifications, Capabilities and Skills Experience with large language models, retrieval-augmented generation (RAG), or generative AI workflows. Prior work involving unstructured document parsing (e.g., PDFs, scanned text, scientific literature). Full-stack data science skill set, including experience with: Writing production-quality, modular, and reusable Python code Building scalable, reproducible systems and packaging code for broader use Containerization (e.g., Docker) and reproducible compute environments Workflow or pipeline orchestration tools (Airflow, Prefect, Dagster, etc.) Cloud computing environments (AWS, Azure, GCP) Experience using Git repositories and version-control workflows, including: Branching strategies, pull requests, peer code reviews Good commit hygiene and collaborative development practices Familiarity with GitHub, GitLab, or similar platforms Exposure to CI/CD, structured logging, automated testing, or other professional engineering practices. Experience with MLOps concepts such as model packaging, monitoring, reproducibility, and deployment is a strong plus. General Intern Information - Date/Location/Schedule Internships will take place June - August 2026. This role will be based in Princeton, NJ, and operate on a required hybrid schedule - 3 days in the office and 2 days remote per week. This role is not eligible for sponsorship. What's next? Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume are a way for us to initially get to know you, so it's important to complete all relevant questions to ensure we have as much information about you as possible. Every application matters to us, and we'll carefully review each submission as quickly as possible to see if your qualifications align with the role. While we're unable to provide individual updates, rest assured that we're working diligently to move through the process efficiently. If you move forward in the process, you'll receive an email invitation to connect with us and dive deeper into this exciting opportunity. The final stage will bring selected candidates meeting directly with our hiring teams, where you'll have the chance to showcase your potential. We are committed to keeping you informed and will share decisions with all candidates as soon as we are able. We can't wait to see where this journey takes you! About You You are genuinely passionate about our purpose You bring precision and excellence to all that you do You believe in our rooted-in-science approach to problem-solving You are a generous collaborator who can work in teams with a broad spectrum of backgrounds You take pride in enabling the best work of others on the team You can grapple with the unknown and be innovative You have experience working in a fast-growing, dynamic company (or a strong desire to) You work hard and are not afraid to have a little fun while you do so! Locations Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you're in one of our office spaces or working remotely, we thrive on connecting with each other to innovate. About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO ) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X. Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com).

Job DescriptionDescription: Job Title- Lead Data Scientist Department- Elevate, Digital Marketplace Reports to- VP, Software Engineering Who We Are- Founded in 1995, Elevate Aviation Group is the parent organization uniting Elevate Jet, Private Jet Services (PJS), and Elevate MRO under one standard of aviation excellence. We operate in the space between small operators and faceless corporations - large enough to deliver global capability, yet agile enough to provide true personal service. As we enter our fourth decade, we're revolutionizing how we approach the market, combining decades of operational expertise with modern technology to deliver certainty, safety, and seamless experiences across every stage of private aviation - from charter to acquisition, management, and maintenance. Summary of position- We are seeking a highly skilled Lead Data Scientist to lead efforts in analyzing market demand and dynamic pricing across the private jet charter ecosystem. This role plays a pivotal part in shaping our pricing algorithms, demand forecasts, and sourcing strategies that directly power our charter broker platform. Essential Duties & Responsibilities- Develop and maintain pricing models that reflect real-time supply, demand, and market conditions. Analyze historical booking patterns, aircraft availability, and operational costs to optimize instant-book pricing logic. Collaborate with product managers, engineers, and revenue teams to design data-driven pricing features and dashboards. Use machine learning, statistical modeling, and predictive analytics to forecast user demand and route popularity. Automate data collection pipelines sourcing from internal systems, aviation APIs, and third-party data providers. Design A/B tests and performance metrics to evaluate the success of pricing and recommendation models. Translate scientific insights into actionable strategies that improve conversion rates, margin, and user satisfaction. Build customer segmentation models to enable personalized experiences and targeted marketing Track and report on key performance metrics including conversion rates, average booking value, and customer lifetime value Requirements: Requirements- Master's or PhD in Data Science, Statistics, Computer Science, or related field. 8+ years of experience in applied data science, ideally in travel, mobility, logistics, or dynamic marketplace environments. Strong proficiency in Python, SQL, and analytical libraries (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). Experience designing and deploying pricing or forecasting models in production environments. Excellent understanding of time-series analysis, demand elasticity modeling, and revenue optimization. Proven ability to communicate complex models in clear, business-relevant terms. Familiarity with aviation or charter scheduling data is a strong plus. Schedule & Travel- The typical work schedule includes five 8-hour shifts assigned to one of the established schedules within the department. Nights, weekends and/or holidays may be required to support the needs of the organization. Ability to travel as needed up to 10% Miscellaneous- FLSA Status- Full Time Exempt Lifting requirements- Up to 20lbs U.S. work authorization is a precondition of employment. Applicants must be authorized to work for ANY employer in the U.S, both now and at all future times. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Elevate Aviation Group Elevate Aviation Group is a privately held aviation organization established in 1995, comprising Private Jet Services (PJS), Elevate Jet, and Elevate MRO. Together, these divisions serve every stage of private aviation, from first inquiry and flight planning to aircraft acquisition, management, and maintenance. We occupy a rare position in private aviation, combining the scale and resources of a national organization with the agility and discretion of a boutique firm. Operating at the standard of aviation excellence means holding our people to that same standard. Our teams anticipate needs, take ownership, and approach every mission with care, precision, and pride. In this world, the greatest cost is not the flight itself but the cost of not arriving when it matters most. As we enter our fourth decade, we are revolutionizing how we approach the market, building a technology-enabled system that empowers our people to focus on what they do best: anticipating problems before they occur so they never reach our clients, and providing a frictionless, calm experience from departure to destination. For nearly thirty years, we have supported some of the most defining moments in modern history-from presidential campaigns and global sporting events to world tours and humanitarian missions-all with an unwavering commitment to flawless execution. We are the architects of seamless arrival.

We are united in our mission to make a positive impact on healthcare. Join Us! South Florida Business Journal, Best Places to Work 2024 Inc. 5000 Fastest-Growing Private Companies in America 2024 2024 Black Book Awards, ranked #1 EHR in 11 Specialties 2024 Spring Digital Health Awards, “Web-based Digital Health” category for EMA Health Records (Gold) 2024 Stevie American Business Award (Silver), New Product and Service: Health Technology Solution (Klara) Who we are: We Are Modernizing Medicine (WAMM)! We're a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed's global headquarters is based in Boca Raton, FL, with a growing office in Hyderabad, India, and a robust remote workforce across the US, Chile, and Germany. We Are Modernizing Medicine (WAMM)! We're a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed is based in Boca Raton, FL, with office locations in Santiago, Chile, Berlin, Germany, Hyderabad, India, and a robust remote workforce with team members across the US. As we continue to scale and drive innovation, we are seeking dynamic and experienced Data Scientists at various levels to join our team. We are seeking Data Scientists to play a critical role in driving data and machine learning initiatives that fuel innovation and business growth. This is ideal for a hands-on technical lead who is passionate about solving complex problems using data and building production-grade ML systems. You will work closely with cross-functional teams to design, develop, and deploy scalable data solutions and machine learning models that create measurable business impact. Key Responsibilities : Design and implement advanced machine learning models and algorithms for prediction, classification, personalization, and automation use cases. Translate business problems into machine learning solutions, working closely with stakeholders to identify opportunities for data-driven impact. Build and evaluate models using techniques such as supervised/unsupervised learning, time-series forecasting, NLP, and deep learning where applicable. Own the end-to-end lifecycle of machine learning models, from data exploration and feature engineering to deployment, monitoring, and retraining. Lead cross-functional ML projects, collaborating with product managers, data engineers, analysts, and software engineers. Partner with data engineering teams to ensure robust data pipelines and access to high-quality, clean, and reliable data for analytics and ML. Contribute to the design and development of scalable ML infrastructure and tools to support training, experimentation, and production deployment. Analyze large datasets to generate actionable insights, uncover trends, and support strategic decisions. Develop visualizations, dashboards, and reports to communicate results to technical and non-technical audiences. Work with stakeholders across the business (product, marketing, operations) to validate findings and support data-informed decisions. Qualifications: PhD in Computer Science, Data Science, Electrical Engineering, Mathematics, Physics, or a related quantitative field. Proven track record of research excellence demonstrated by publications in top ML/AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, AAAI, KDD) or journals. Hands-on experience in data science or machine learning in a product or platform-focused environment preferably in healthcare or similar data-rich domain. Strong proficiency in Python and common ML libraries. Experience with MLOps tools and cloud-based ML environments such as AWS. Experience working with healthcare data formats (HL7, FHIR) and privacy standards (HIPAA) is a plus. Solid understanding of statistical methods, experimental design, and data wrangling. Familiarity with SQL, Spark, and distributed data systems is a plus. #LI-DV1 ModMed Benefits Highlight: At ModMed, we believe it's important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits: India Meals & Snacks: Enjoy complimentary office lunches & dinners on select days and healthy snacks delivered to your desk, Insurance Coverage: Comprehensive health, accidental, and life insurance plans, including coverage for family members, all at no cost to employees, Allowances: Annual wellness allowance to support your well-being and productivity, Earned, casual, and sick leaves to maintain a healthy work-life balance, Bereavement leave for difficult times and extended medical leave options, Paid parental leaves, including maternity, paternity, adoption, surrogacy, and abortion leave, Celebration leave to make your special day even more memorable, and company-paid holidays to recharge and unwind. United States Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution, 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep. Generous Paid Time Off and Paid Parental Leave programs, Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs, Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed, Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning, Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles, Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters. PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (*************************). Please check senders' email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.

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: $109,500 -148,500 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

Working Title: Internship Salary: To Be Determined by the Agency Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and Responsibilities: The State of Florida is seeking motivated individuals to join our workforce. Our agencies are looking for bright, highly motivated college students and recent graduates to participate in a unique opportunity to gain experience firsthand in the operations of state government while obtaining valuable on-the-job training. As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions. * Assist with the maintenance, ongoing support, and reporting for automation across the agency. * Assist in collecting, cleaning, and preprocessing structured and unstructured datasets from various sources. * Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the improvement of data quality, data governance, and metadata standards. * Conduct research on emerging tools, techniques, and technologies. Applications are accepted year-round. Internships may be paid or unpaid and there is no guarantee of employment. Knowledge, Skills, and Abilities: * Knowledge of data analytics methodologies and tools. * Ability to work independently as well as with others. * Knowledge of data modeling, data mining and data cleansing techniques; and data analysis. * Knowledge of automation and application of automation tools. * Ability to prioritize tasks, meet deadlines, and manage time effectively. * Knowledge of statistics & statistical modeling. * Ability to collect, evaluate, and prioritize automation opportunities. * Proven ability to work ethically and with integrity. Minimum Qualifications: * Must be currently enrolled or graduated within the last twelve months from an accredited college or university degree program. * Working knowledge of database systems and querying languages (e.g., SQL) to extract and manipulate data efficiently. The State of Florida is an Equal Opportunity Employer/Affirmative Action Employer, and does not tolerate discrimination or violence in the workplace. Candidates requiring a reasonable accommodation, as defined by the Americans with Disabilities Act, must notify the agency hiring authority and/or People First Service Center (***************. Notification to the hiring authority must be made in advance to allow sufficient time to provide the accommodation. The State of Florida supports a Drug-Free workplace. All employees are subject to reasonable suspicion drug testing in accordance with Section 112.0455, F.S., Drug-Free Workplace Act. Location:

Must Have Technical/Functional Skills Data Scientist with strong expertise in Python, PostgreSQL, and PyTest to join our team. The role involves building advanced data models, performing statistical analysis, and implementing automated testing frameworks for enterprise-grade solutions. Roles & Responsibilities * Develop and deploy data science models and algorithms using Python. * Perform data extraction, transformation, and analysis leveraging PostgreSQL and Pandas. * Design and implement robust automated test suites using PyTest for data pipelines and models. * Conduct exploratory data analysis (EDA) and feature engineering for predictive modeling. * Collaborate with stakeholders to define data-driven solutions and business insights. * Optimize SQL queries and database structures for performance and scalability. * Integrate models into production systems with CI/CD pipelines and testing gates. * Ensure data quality, security, and compliance with enterprise standards. * Document methodologies, workflows, and maintain reproducibility of experiments. * Provide production support and troubleshoot data-related issues Required Qualification * 5+ years of experience in Data Science and Python programming. * Strong knowledge of statistical modeling, machine learning techniques, and data visualization. * Expertise in PostgreSQL (schema design, query optimization, indexing). * Proficiency in PyTest for automated testing and CI/CD integration. * Hands-on experience with Pandas and NumPy for data manipulation. * Familiarity with Git-based workflows and CI/CD tools. * Strong problem-solving skills and ability to communicate technical concepts clearly. Generic Managerial Skills, If any * Experience with SQLAlchemy, Airflow, or Prefect for workflow orchestration. * Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker). * Exposure to big data technologies (Spark, Hadoop) and streaming platforms (Kafka). * Prior experience in BFSI domain. Key Words to search in Resume Data Science, Python, Pandas, PostgreSQL, PyTest, Machine Learning, CI/CD, SQL Performance, Airflow, Docker, Kafka. Pre-Screening Questionnaire * Experience with SQL Alchemy, Airflow, or Prefect for workflow orchestration. * Knowledge of cloud platforms (GCP) and containerization (Docker). * Exposure to big data technologies (Spark, Hadoop) and streaming platforms (Kafka). Salary range:& nbsp; $120,000 to $140,000 per year

At Genmab, we are dedicated to building extra[not]ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! Job Title Histopathology Imaging Data Science Intern Why Genmab Our internship program provides interns with hands-on experience and relevant projects that directly align with our company's goals. Additionally, we believe our program provides a valuable opportunity to learn, thrive, and build a strong network. We encourage you to review our website to learn why we're always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary future. Job Overview We are looking for a motivated and detail-oriented Digital Pathology Intern to join our team for a summer internship. This role will focus on developing AI models to analyze H&E and IHC images and multiomics data (such as RNAseq and DNA mutations) to characterize the tumor microenvironment and uncover biomarkers linked to disease biology and treatment efficacy. The intern will collaborate with our translational data science team and other stakeholders to contribute to innovative translational research in cancer treatment. What You'll Do Data ingestion & Analysis Develop or utilize pathology-specific foundation models e.g., CTransPath, PLIP, and BiomedParse, to process and analyze large image datasets Perform integrative analysis of pathology images with multiomics datasets (e.g. RNAseq, DNA mutations). Integrate and preprocess datasets and software packages from diverse sources to ensure compatibility with AI tools. Conduct computation in a GPU-enabled environment on cloud platforms. Model Development & Optimization Assist in fine-tuning and optimizing AI models for tasks such as image segmentation and classification using python/R. Add new functions to the current pipeline of imaging data analysis. Document and present model performance metrics to the team. Biomarker Discovery Apply deep learning/machine learning techniques to predict mutations and/or protein expression and identify potential biomarkers associated with tumor characteristics and treatment outcomes. Work with mentors and other researchers to validate findings and assess their relevance to cancer biology and therapeutic strategies. AI Model interpretability Develop interactive tools enabling pathologists to review whole slide images (WSIs) and evaluate integrated AI predictions on the tumor microenvironment (TME). The tools will leverage diverse vision-language foundation models to enhance model validation and interpretability and bring insights into cancer biology. Research & Reporting Conduct literature reviews to keep abreast of the latest developments in deep learning, digital pathology and multiomics integration. Prepare reports and presentations to share findings with both technical and non-technical audiences. Required Qualifications, Capabilities and Skills Currently enrolled in a degree program in Computer Science, Bioinformatics, Data Science, or a related field. Proficiency in programming languages such as Python or R. Experience with machine learning frameworks (e.g., PyTorch) and data analysis tools. Familiarity with image processing and analysis techniques. Experience with cloud computing platforms, e.g., AWS, DataBricks. Ability to collaborate effectively in a team setting. Demonstration of initiative, a proactive attitude, and eagerness to learn in a fast-paced environment. Preferred Qualifications, Capabilities and Skills Prior experience with digital pathology or multiomics data analysis. Basic understanding of cancer biology or oncology research. Excellent written and verbal communication skills. Familiarity with AI coding/agent tools (e.g., Cursor). General Intern Information - Date/Location/Schedule Internships will take place June - August 2026. This role will be based in Princeton, NJ and operate on a required hybrid schedule - 3 days in the office and 2 days remote per week. This role is not eligible for sponsorship. What's next? Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume are a way for us to initially get to know you, so it's important to complete all relevant questions to ensure we have as much information about you as possible. Every application matters to us, and we'll carefully review each submission as quickly as possible to see if your qualifications align with the role. While we're unable to provide individual updates, rest assured that we're working diligently to move through the process efficiently. If you move forward in the process, you'll receive an email invitation to connect with us and dive deeper into this exciting opportunity. The final stage will bring selected candidates meeting directly with our hiring teams, where you'll have the chance to showcase your potential. We are committed to keeping you informed and will share decisions with all candidates as soon as we are able. We can't wait to see where this journey takes you. About You You are genuinely passionate about our purpose You bring precision and excellence to all that you do You believe in our rooted-in-science approach to problem-solving You are a generous collaborator who can work in teams with a broad spectrum of backgrounds You take pride in enabling the best work of others on the team You can grapple with the unknown and be innovative You have experience working in a fast-growing, dynamic company (or a strong desire to) You work hard and are not afraid to have a little fun while you do so! Locations Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you're in one of our office spaces or working remotely, we thrive on connecting with each other to innovate. About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO ) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X. Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com).

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: $109,500 -148,500 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

Working Title: Internship Salary: To Be Determined by the Agency Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and Responsibilities: The State of Florida is seeking motivated individuals to join our workforce. Our agencies are looking for bright, highly motivated college students and recent graduates to participate in a unique opportunity to gain experience firsthand in the operations of state government while obtaining valuable on-the-job training. As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions. * Assist with the maintenance, ongoing support, and reporting for automation across the agency. * Assist in collecting, cleaning, and preprocessing structured and unstructured datasets from various sources. * Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the improvement of data quality, data governance, and metadata standards. * Conduct research on emerging tools, techniques, and technologies. Applications are accepted year-round. Internships may be paid or unpaid and there is no guarantee of employment. Knowledge, Skills, and Abilities: * Knowledge of data analytics methodologies and tools. * Ability to work independently as well as with others. * Knowledge of data modeling, data mining and data cleansing techniques; and data analysis. * Knowledge of automation and application of automation tools. * Ability to prioritize tasks, meet deadlines, and manage time effectively. * Knowledge of statistics & statistical modeling. * Ability to collect, evaluate, and prioritize automation opportunities. * Proven ability to work ethically and with integrity. Minimum Qualifications: * Must be currently enrolled or graduated within the last twelve months from an accredited college or university degree program. * Working knowledge of database systems and querying languages (e.g., SQL) to extract and manipulate data efficiently. The State of Florida is an Equal Opportunity Employer/Affirmative Action Employer, and does not tolerate discrimination or violence in the workplace. Candidates requiring a reasonable accommodation, as defined by the Americans with Disabilities Act, must notify the agency hiring authority and/or People First Service Center (***************. Notification to the hiring authority must be made in advance to allow sufficient time to provide the accommodation. The State of Florida supports a Drug-Free workplace. All employees are subject to reasonable suspicion drug testing in accordance with Section 112.0455, F.S., Drug-Free Workplace Act. Location: