Lead Data Scientist

About the job you are considering

Capgemini Global Insights & Data business line is a market leader in the data, platform, and analytics across all regions and cross many sectors (including financial services, consumer products, manufacturing & life sciences). Our offerings include end-2-end data integration to cloud platform, complete suite of AI engineering capabilities and a category of sector-based advanced analytics / AI solutions.

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role

As a Lead Data Scientist at Capgemini, you will play a pivotal role in shaping the future of data-driven innovation. You will drive the development of advanced analytics and AI solutions, provide technical leadership to a talented team, and partner with business leaders to solve complex challenges. Your work will span end-to-end model development, from ideation to deployment and continuous improvement, ensuring our solutions deliver measurable business impact.

Technical Leadership & Strategy

• Lead and mentor a multidisciplinary team of data scientists, ML engineers, and analysts.
• Define and implement data science best practices, modeling standards, and technical roadmaps.
• Collaborate with business and technology leaders to identify and prioritize AI/ML opportunities.
• Review and validate modeling approaches, code quality, and solution architectures.

Advanced Analytics & AI Development

• Design and build scalable machine learning, deep learning, and statistical models.
• Lead projects in NLP, LLMs, computer vision, recommendation systems, and predictive analytics.
• Own the full model lifecycle: experimentation, feature engineering, model selection, tuning, deployment, and monitoring.

Data Engineering & Deployment

• Partner with data engineers to develop robust, scalable data pipelines.
• Ensure seamless deployment using CI/CD, MLOps, and automation frameworks.
• Monitor model performance and implement retraining workflows to maintain accuracy.

Business Partnership & Solutioning

• Translate business problems into actionable analytical solutions.
• Present insights and recommendations to both technical and non-technical stakeholders.
• Align AI/ML solutions with business KPIs and measurable outcomes.

Governance, Quality & Innovation

• Champion responsible AI practices, model governance, explainability, and compliance.
• Drive innovation by experimenting with new algorithms, tools, and frameworks.
• Contribute to knowledge sharing and reusable solution components.

Your Skills and Experience

Technical Skills

• Expertise in Python (Pandas, NumPy, Scikit-learn), deep learning frameworks (TensorFlow, PyTorch).
• Strong knowledge of ML algorithms, statistics, and experimental design.
• Hands-on experience with NLP, LLMs, computer vision, or advanced modeling.
• Proficiency in SQL and big data tools (Spark, Databricks, Hadoop).
• Experience with cloud platforms (AWS, Azure, GCP) and ML services.
• Familiarity with APIs, model serving, and MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).

Professional Experience

• Proven track record in data science, ML, or advanced analytics.
• Experience leading teams and delivering production-grade models.
• Agile/DevOps experience is a plus.

Soft Skills

• Excellent communication and storytelling abilities.
• Strong leadership, mentoring, and decision-making skills.
• Ability to translate complex technical concepts into business value.
• Strategic thinker with a problem-solving mindset.

Preferred Qualifications

• Master’s or PhD in Data Science, Computer Science, Statistics, or related fields.
• Experience with GenAI, LLM fine-tuning, vector databases, RAG pipelines.
• Relevant certifications (Data Scientist, ML Engineer, Cloud).
• Domain expertise in BFSI, healthcare, retail, manufacturing, or SaaS.

Why you should consider Capgemini

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask.  When you join Capgemini, you’ll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts.  We find new ways technology can help us reimagine what’s possible.  It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future.  By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real | www.capgemini.com