Make a difference. Be happy. Grow your career. The Role ​​Nordic, repeat Best in KLAS IT Services Firm and solely serving the healthcare industry, strives to empower healthcare providers to leverage technology and to realize digital transformation. All Nordic staff embrace Nordic’s maxims and mission to serve our customers who care so well for us. Key Responsibilities The Senior Data Scientist applies strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The Senior Data scientist should also have some awareness about Gen AI & Agentic AI concepts, and have a point of view on how the traditional data science workflows can evolve harnessing power of Generative AI & Agentic AI. The data scientist collaborates with business partners to define the technical problem statement and hypothesis to test and develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team. Essential Job Functions - Collaborates with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools. - Effectively communicates the analytics approach and how it will meet and address objectives to business partners. - Advocates and educates on the process and reasoning for solving problems with data-driven decision making. - Leads analytic approaches to integrate work into applications and tools with data engineers, business leads, analysts and developers. - Creates repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products. - Engineers features by using business acumen to find new ways to combine disparate internal and external data sources. - Identifies and develops long-term processes, frameworks, tools, methods and standards. - Collaborates and learns with a growing team of experienced data scientists. - Stays connected with external sources of ideas through conferences and community engagements. Skills and Experience - Generally, requires a Bachelor's degree and 12 years of related experience or a Master's degree and 8 years of related experience. - Masters, Data Science, Computer Science, Engineering, or Statistics (preferred) Doctorate, Data Science, Computer Science, Engineering, or Statistics (preferred) Minimum Years of Experience - 8+ years' experience in a data science role (required) - 8+ years' experience in a data engineering, analyst, or architecture role (required) - 8+ years' experience in a data science role (preferred) Other Knowledge, Skills and Abilities Required - Python - SQL, Databricks - Machine Learning concepts and engineering tools - Good grasp of Generative AI and Agentic AI concepts - Model deployment and maintenance - BI tools (e.g., Tableau, PowerBI) - Attention to detail - Critical thinking - Relationship building - Ability to work with technical and non-technical stakeholders - Requirements translation - Agile work process - Continuous learner #LI-JD1 Nordic is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital or veteran status, or any other protected status under applicable federal, state, or local laws. We encourage individuals of all backgrounds to apply, including women, minorities, individuals with disabilities, and veterans.

Role Description We are looking for a technically rigorous, intellectually curious Senior Data Scientist to join our Acquisition Marketing Analytics team. In this role, you will own our most strategic measurement capabilities – including media mix modeling and always-on incrementality testing with paid partners – and use them to drive how we invest across acquisition channels. You are the right fit if you have a strong foundation in causal inference and applied statistics, thrive at the intersection of data science and marketing strategy, and know how to turn complex model outputs into decisions that matter to the business. - Own end-to-end media modeling (MMM), from data preparation and model development, to validation, calibration, and stakeholder delivery - Design, launch, and maintain incrementality testing frameworks, in partnership with paid media partners, including geo-holdout and platform-native lift study designs - Translate model outputs into actionable budget allocation and channel investment recommendations - Partner with channel leads to develop and maintain a structured learning agenda across paid media - Automate recurring measurement processes to improve accuracy, scalability, and speed-to-insight - Contribute to raising the analytical bar across the team through code review, documentation, and knowledge sharing Qualifications - 4+ years of experience in data science or quantitative analytics, with meaningful time spent supporting paid media or acquisition marketing - Proven ownership of MMM end-to-end - Hands-on experience designing and running incrementality tests, including experimental design, execution, and results interpretation - Experience working in app-based or DTC acquisition environments strongly preferred; sports real money gaming industry background a plus - Bachelor's degree in Business, Analytics, Statistics, Econometrics, Information Systems, Computer Science, or a related field. Advanced degree preferred - Exceptional communicator: able to explain modeling decisions and statistical tradeoffs to non-technical stakeholders - Strong business judgment: you connect analytical outputs to commercial outcomes - Collaborative: can act as a partner to Marketing, Finance, and Product teams, with experience working across functions to drive aligned decisions - Comfortable with ambiguity, and able to scope and prioritize work independently Requirements - Python: proficiency in modeling, statistical analysis, and automation (pandas, numpy, statsmodels, PyMC or similar) - SQL: advanced, including complex transformations and pipeline logic - dbt: experience building and maintaining data models in a dbt environment - Open-source MMM frameworks (Robyn, Meridian): hands-on experience strongly preferred Benefits - Company-subsidized medical, dental, & vision plans - 401(k) plan with company match - Annual bonus - Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) - Generous paid leave programs, including 16-week paid parental leave and disability benefits - Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked - Company-wide in-person events and team outings - Lifestyle enhancement program - Company equipment provided (Windows & Mac options) - Annual performance reviews with opportunities for growth and career development

Senior Applied Scientist, Document Understanding About the Role This role sits within the applied science function. You will design, build, and deploy document understanding systems that directly power Westlaw, PracticalLaw, and CoCounsel. The problems are real, the scale is large, and the expectation is shipped, reliable, measurable impact. You will work across semantic chunking, document enrichment, knowledge graph construction, and synthetic data generation for complex legal, tax, and accounting content. Multiple product teams depend on what this function delivers. About You You hold a PhD or Master's in Computer Science, AI, NLP, or a related field, with 5+ years of post-degree industry experience taking NLP and document understanding systems from development to production at scale. You have hands-on depth across model development, distillation, evaluation, and deployment. You publish, you work independently, lead through influence in an applied research setting, and measure success by what ships and performs in production. What You'll Do - Design and deploy semantic chunking models for lengthy, non-uniformly structured legal documents with adjustable granularity across use cases - Build document enrichment systems using legal and customer-defined taxonomies - Develop LLM-based knowledge graph construction pipelines that extract and link citations, entities, and legal concepts across diverse legal content - Build scalable synthetic data generation systems for model training, multi-hop query simulation, and hallucination-free answer generation - Apply knowledge distillation techniques to compress large models into latency-constrained, production-ready SLMs - Design evaluation frameworks — component-level and end-to-end — using expert annotation and synthetic data - Drive technical decisions on architecture, chunking strategy, classification approach, and knowledge extraction methods - Partner with engineering on delivery, reliability, and scale across multiple product lines - Contribute to published research at venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, and KDD, and to intellectual property Required Qualifications - PhD or Master's in Computer Science, AI, NLP, or a related field - 5+ years of post-degree industry experience shipping document understanding, information extraction, or knowledge graph systems into production — not research-only experience - Publications at ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD, or equivalent - Experience leading through influence in an applied research setting - Production Python and experience with PyTorch, Hugging Face Transformers, and DeepSpeed Hands-on production depth required in: - Document layout analysis and semantic chunking beyond fixed-size or paragraph-based methods - Hierarchical, multi-label document classification with domain-specific and customer-defined schemas - Entity recognition and linking, relation extraction, citation parsing, and knowledge graph construction from unstructured text - LLM-based information extraction, few-shot and multi-task learning, and post-training - Knowledge distillation, model compression, and SLM deployment under latency constraints - Synthetic data generation and annotation workflow design - End-to-end evaluation framework design for document understanding Preferred Qualifications - Legal document understanding, legal IE, or legal AI experience - Complex document structures: nested hierarchies, cross-references, non-uniform formatting - Retrieval or QA systems over large document collections - RAG and agentic workflows in enterprise settings - Knowledge graph frameworks for legal or enterprise applications - AzureML or AWS SageMaker #LI-LP2 What’s in it For You? - Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. - Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. - Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. - Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. - Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. - Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan. Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $127,400 USD - $236,600 USD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. This job posting will close 05/13/2026. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com

New Position: This position is open due to an existing vacancy to support our evolving business needs. Lead Applied Scientist, Document Understanding About the Role This role sits within the applied science function. You will own the design, development, and production deployment of document understanding systems that directly power Westlaw, PracticalLaw, and CoCounsel. The problems are real, the scale is large, and the expectation is shipped, reliable, measurable impact. You will work across semantic chunking, document enrichment, knowledge graph construction, and synthetic data generation for complex legal, tax, and accounting content. Multiple product teams depend on what this function delivers. About You You hold a PhD in Computer Science, AI, NLP, or a related field, with 8+ years of post-degree industry experience taking NLP and document understanding systems from development to production at scale. You have hands-on depth across the full applied arc — model development, distillation, evaluation, and deployment. You publish, you mentor, and you measure success by what ships and performs in production. What You'll Do - Design and deploy semantic chunking models for lengthy, non-uniformly structured legal documents with adjustable granularity across use cases - Build document enrichment systems using legal and customer-defined taxonomies - Develop LLM-based knowledge graph construction pipelines that extract and link citations, entities, and legal concepts across diverse legal content - Lead knowledge distillation efforts to compress large models into latency-constrained, production-ready SLMs - Design evaluation frameworks — component-level and end-to-end — using expert annotation and synthetic data - Own technical decisions on architecture, chunking strategy, classification approach, and knowledge extraction methods - Partner with engineering on delivery, reliability, and scale across multiple product lines - Provide technical input to senior leadership on AI strategy and roadmap - Mentor applied scientists and ML practitioners on the team Required Qualifications - PhD in Computer Science, AI, NLP, or a related field — required - 8+ years of post-degree industry experience shipping document understanding, information extraction, or knowledge graph systems into production — not research-only experience - Publications at ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD, or equivalent - Production Python and experience with PyTorch, Hugging Face Transformers, and DeepSpeed Hands-on production depth required in: - Document layout analysis and semantic chunking beyond fixed-size or paragraph-based methods - Hierarchical, multi-label document classification with domain-specific and customer-defined schemas - Entity recognition and linking, relation extraction, citation parsing, and knowledge graph construction from unstructured text - LLM-based information extraction, few-shot and multi-task learning, and post-training - Knowledge distillation, model compression, and SLM deployment under latency constraints - Synthetic data generation and annotation workflow design - End-to-end evaluation framework design for document understanding Preferred Qualifications - Legal document understanding, legal IE, or legal AI experience - Complex document structures: nested hierarchies, cross-references, non-uniform formatting - Retrieval or QA systems over large document collections - RAG and agentic workflows in enterprise settings - Knowledge graph frameworks for legal or enterprise applications - AzureML or AWS SageMaker #LI-LP2 What’s in it For You? - Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. - Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. - Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. - Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. - Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. - Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role. In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan. Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $147,600 USD - $274,200 USD. For Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 CAD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. This job posting will close 05/13/2026. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com