Overview As a Data Scientist Intern, you will contribute to the development and application of advanced analytics and machine learning methods to solve healthcare informatics challenges, with a particular emphasis on Generative AI and Artificial General Intelligence. You will collaborate with cross-disciplinary teams to build, evaluate, and deploy data-driven solutions that enhance healthcare treatment, operations, and payment systems. This internship offers hands-on experience in statistical modeling, data engineering, and AI model development in a mission-driven environment. Responsibilities - Technical Expertise - Analyze large and complex healthcare datasets to extract actionable insights - Develop, evaluate, and improve machine learning (ML) and deep learning (DL) models, especially LLMs and generative architectures - Design, build, and optimize data pipelines using cloud services (Databricks/AWS/Azure) for scalable ML solutions - Contribute to the development and maintenance of AI governance frameworks and best practices - Implement and manage database architectures, including vector databases and data embeddings - Communication & Collaboration - Work closely with researchers, product managers, and strategic analysts on data and AI related projects - Communicate technical concepts and findings effectively through presentations and written materials to both technical and non-technical stakeholders - Leadership & Management - Take a proactive role in defining analytical project objectives and contributing to solution delivery - Assist in coordinating data science and technical project activities, supporting team goals and daily operations - Collaborate with academic and industry partners on joint research, pilot projects, and internships - External Relationships & Partnerships - Supports vendor evaluations and contributes to collaborations with vendors. - Assists as a liaison between academic institutions, professional organizations, and research groups as needed. - Other - Complete all responsibilities and goals outlined in the internship program. - Complete all special projects and other duties as assigned. - Must be able to perform duties with or without reasonable accommodation. This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti’s needs and requirements of the internship evolve Qualifications - Currently pursuing a Bachelor's/Master's/PhD degree in Data Science, Statistics, Computer Science, Biostatistics, or a related quantitative field - Demonstrated interest or experience in AI, healthcare technology, or informatics research. - Experience working with platforms like Databricks, AWS, Azure, or OCI. - Strong programming skills (Python preferred) - Strong skills working with databases and models (ETL, hosting, etc.) - Strong grasp of statistical analysis, machine learning, and data visualization - either through experience or coursework/projects. - Genuine interest in applying data science to healthcare challenges. - Knowledge of healthcare data standards (such as HL7, FHIR, or ICD-10) is a plus but not required - Ability to work collaboratively and communicate effectively with cross-functional teams. Working Conditions and Physical Requirements - Remaining in a stationary position, often standing or sitting for prolonged periods. - Communicating with others to exchange information. - Repeating motions that may include the wrists, hands and/or fingers. - Assessing the accuracy, neatness and thoroughness of the work assigned. - No adverse environmental conditions expected. - Must be able to provide a dedicated, secure work area. - Must be able to provide high-speed internet access / connectivity and office setup and maintenance. Base compensation ranges from $21.00 to $26.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law. Date of posting: 2/3/2026 Applications are assessed on a rolling basis. We anticipate that the application window will close on 4/3/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected. #LI-LL1 #LI-remote #intern #LI-DN!

Overview Cotiviti is currently looking to add an industry leading Data Scientist II who is focused on machine learning solutions to join a revolution in Healthcare Technology and build value-oriented, production level machine learning solutions. This role is not for the research-oriented data scientist, but rather should be of interest to those that want to apply their knowledge and experience to real world problems, and seek to utilize Artificial Intelligence and Machine Learning to reduce the cost of healthcare and improve health quality and outcomes. With access to dedicated on premise and cloud based big data solutions, the team can work with a vast amount of structured and unstructured data including claims, membership, physician demographics, medical records and others to begin to solve some of the most pressing healthcare issues of our time. A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists, auditors and innovators to set aggressive goals and execute them with the team. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact to business outcomes. Responsibilities · Work with key stakeholders both within R&D and Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and AI techniques. · Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential AI/ML use cases. · Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work. · Prepare your final trained model and develop a validation test set for QA. · Work with production operations to deploy your model into production and support them in monitoring model performance. · Participate in other data science teams collaborating with your peers to support their projects · Participate in knowledge sharing sessions to bring new insights and technologies to the team. · Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform · Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption. · Complete all responsibilities as outlined in the annual performance review and/or goal setting. · Complete all special projects and other duties as assigned. · Must be able to perform duties with or without reasonable accommodation. This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change. Qualifications Minimum Qualifications · MS or PhD Degree in relevant discipline (Math, Statistics, Computer Science, Engineering or Health Sciences) or commensurate professional work experience. · 4-7 years’ experience in advanced analytics · 3+ years’ experience in working in Big Data environments · Experience developing machine learning models in an exploratory data analytics environment and working with others to develop production ready versions of the models that are deployed within operational environments · Experience in using machine learning tools to develop production strength models including, but not limited to, Python, TensorFlow, PyTorch, pandas, numpy, scikit-learn, spark, scala, hive, impala · Significant experience with SQL, ability to write SQL queries to efficiently extract data from relational databases · Applied Machine Learning: Application of a variety of machine learning techniques to increase identification of payment integrity issues for our clients, reduce the cost of auditing processes or increase the quality of care and outcomes. Must have implemented machine learning solutions within production environments at scale · Big Data Analysis: Strong ability to manage and analyze data in a Big Data environment using a variety of scripts, potentially including but not limited to Scala/Spark and Python as well as Cloud based ML/AI capabilities. Additional Beneficial Requirements: · Knowledge or experience of DevOps lifecycle tools like GitHub/Gitlab/BitBucket, Jenkins, Jira · Experience in natural language processing (NLP) techniques · Experience in deep learning techniques · Proficiency in applying various mathematical and statistical models to include, but not limited to: Random Forest, Gradient Boosting, Time Series, Collaborative Filtering, and Unsupervised Clustering · Experience or knowledge of the health insurance industry in the U.S. Cognitive/Mental Requirements: · Reasoning and Problem Solving: Ability to actively and skillfully conceptualize, apply, analyze, synthesize, and/or evaluate information gathered from, or generated by, observation, experience, reflection, reasoning, or communication, as a guide to belief and action · Consulting: Demonstrated ability to make and gain acceptance of data-driven recommendations made to business owners. Strong ability to appropriately summarize and effectively communicate complex concepts & varied data sets to inform stakeholders, gain approval, or prompt actions; Applies to multiple audiences ranging from the analyst to executive level; Includes oral & written communication and multimedia presentation · Statistical Analysis: Apply statistical methodology to solve business problems; appropriately interprets meaning from results · Business Knowledge: Good understanding of the tenets of health insurance, the managed care model, industry coding/policy standards, the claim adjudication process, and issues related to fraud waste and abuse. Ability to apply this knowledge to the development & evaluation of new initiatives and support leading the team strategy toward best practices. · Financial Analysis: Ability to understand, generate and evaluate healthcare utilization, unit cost and medical cost trends. This includes understanding levers that effect healthcare cost, such as contracting, networks, policies, benefit structures, and product design. Ability to draw conclusions and make recommendations based on financial data · Functional Programming: Ability to work with, understand and create object oriented/functional programming solutions using modern application frameworks. · Ability to work independently as well as collaborate as a team · Flexibility to work with global teams as well geographically dispersed US based teams · Professional with ability to properly handle confidential information · Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort. · Ability to handle multiple tasks, prioritize and meet deadlines · Ability to work within a matrixed organization · Proficiency in all required skills and competencies above Physical Requirements and Working Conditions: · Remaining in a stationary position, often standing or sitting for prolonged periods. · Repeating motions that may include the wrists, hands and/or fingers. · Must be able to provide a dedicated, secure work area. · Must be able to provide high-speed internet access / connectivity and office setup and maintenance. Pay Transparency: Base compensation ranges from $110,000.00 to $140,000.00. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page. Since this job will be based remotely, all interviews will be conducted virtually. Date of posting: 11/25/2025 Applications are assessed on a rolling basis. We anticipate that the application window will close on 02/25/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected. #LI-LL1 #LI-remote #senior

• Apply data science, advanced analytics, and AI techniques to large, complex operational datasets to identify performance degradation, systemic issues, and improvement opportunities • Design and implement code-first analytical solutions and models that support automated or semi-automated discovery of performance improvement opportunities • Use AI and data-driven methods to evaluate, prioritize, and improve the effectiveness of Plans of Action and Milestones (POAMs) tied to contractual outcomes • Collaborate closely with performance analysts, engineers, and stakeholders to translate operational challenges into data-driven solutions • Apply appropriate AI and machine learning techniques, balancing innovation with explainability, defensibility, and stakeholder trust • Develop reusable analytical code, methods, and patterns that strengthen the team’s overall data science and AI capabilities • Communicate insights clearly to both technical and non-technical audiences, including program leadership • Support broader Navy performance initiatives by extending analytical methods beyond SLR-focused use cases when appropriate

Role Description Pratham International, through its wholly-owned subsidiary in India (PULS Pvt. Ltd.), is looking to hire a Data Scientist to join our Research & Analytics team, focused on using data-driven insights to inform programmatic decisions and tackle complex social challenges. Candidates should have strong foundations in statistics, data science, and Python programming and a passion for applying these skills to education and development contexts. This role involves designing and executing rigorous analyses, working across teams to translate needs into tractable data problems, and communicating findings in clear, actionable ways to diverse stakeholders. As a Data Scientist, you will: - Manage project-level data operations to ensure timely and accurate reporting. - Undertake regular analyses to inform program design, monitoring, and decision-making. - Apply statistical and machine learning methods to identify patterns, trends and predictors of educational outcomes. - Design and evaluate predictive models, with attention to fairness, interpretability and program relevance. - Lead data wrangling and cleaning, including SQL queries, API calls, survey datasets. - Ensure data quality, integrity, and documentation for reproducibility. - Build dashboards, reports, and visualizations (Excel, PowerBI, Tableau, or Python-based tools). - Translate technical findings into clear, accessible insights for program, content, and management teams. - Partner with AI/ML team where advanced modeling or deployment is required. Qualifications - Bachelor’s or higher degree in Data Science, Computer Science, Statistics, Research Methodologies or a related field. - Proficiency in Python with strong command of standard data science packages (numpy, pandas, scikit-learn, matplotlib, etc.). - Strong foundations in statistics and probability. - Ability to implement supervised and unsupervised ML methods, and key components of the data pipeline (cleaning, feature selection, cross-validation, parameter tuning). - Working knowledge of SQL. Requirements - Experience working on Data Science projects using machine learning and deep learning. - Orientation towards research. Benefits - Impact at a Global Scale: Your work will directly support the learning journeys of millions of children. - Unique Technical Challenges: Solve "last-mile" problems rarely addressed in the commercial sector. - A Culture of Growth and Evidence: Value rigorous testing and continuous learning. - High-Calibre, Mission-Driven Team: Work alongside a global team of experts from prestigious institutions. - Inclusive and Collaborative Environment: Join a diverse team that values innovative thinking and local expertise. Employment Details - Contract Type: Full-Time Employment - Date of Joining: Immediate; applications reviewed on a rolling basis. - Work from Anywhere in India: Flexible, remote-first work environment with opportunities to travel to field locations. - Competitive Remuneration: Salary benchmarked against industry standards for AI/ML roles, commensurate with experience.