This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The Data Science Lead serves as the technical and analytical authority for our client’s data science practice. This is a senior individual contributor and team lead role responsible for driving AI/ML strategy, delivering data-driven solutions, and elevating the analytical capability of the wider team.
Job Responsibility
Defining and driving the data science and AI roadmap, aligning model development priorities with business objectives and product strategy
Leading end-to-end delivery of ML and AI solutions — from problem framing, data discovery, and model design through validation, deployment, and performance monitoring
Translating ambiguous business problems into well-scoped data science workstreams, identifying quick wins alongside longer-term strategic initiatives
Designing and implementing NLP pipelines for use cases such as entity extraction, semantic mapping, classification, and retrieval-augmented generation (RAG)
Building and maintaining forecasting and predictive models to support operational and strategic decision-making
Conducting current-state assessments of data architecture, sources, and quality
defining future-state data models and governance standards
Partnering closely with Product, Engineering, and business stakeholders to clarify requirements and define measurable success criteria
Mentoring data analysts and junior data scientists, and driving a culture of continuous learning and responsible AI
Requirements
Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative field (or equivalent professional experience)
5+ years of experience in data science, data analytics, or a related discipline, including production ML/AI deployments
Strong proficiency in Python for data science workflows, including pandas, scikit-learn, and NLP libraries (e.g., spaCy, Hugging Face Transformers)
Proven experience designing and delivering NLP pipelines and/or forecasting models in a business context
Solid command of SQL for data querying, transformation, and analysis
Experience with BI and reporting tools, particularly Power BI (including data modeling and DAX)
Demonstrated ability to communicate analytical findings clearly to non-technical stakeholders
Experience working in regulated industries (healthcare, finance, or similar) with understanding of compliance and data governance requirements (e.g., HIPAA, GDPR)
Nice to have
7+ years of data science or analytics experience, including a team lead or principal contributor role
Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering
Familiarity with cloud-based ML platforms (GCP, AWS, or Azure) and MLOps practices
Working knowledge of process optimization frameworks such as Lean Six Sigma
Exposure to clinical data standards or health data interoperability
PL-300 Power BI Data Analyst certification is a plus