Data Scientist
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Data Scientist leading AI/ML initiatives at Capgemini Engineering. Driving enterprise-wide AI vision with cross-functional collaboration and technical expertise.
Responsibilities:
- Lead cross-functional AI/ML initiatives and drive the enterprise wide AI vision and strategy.
- Interface with senior stakeholders, providing thought leadership and regular updates on key analytics initiatives.
- Own end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionize models in Azure ML and Databricks.
- Implement prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning.
- Design and execute A/B tests or quasi-experiments to measure revenue, pricing uplift, and PCP attach rate impact.
- Apply SHAP/LIME and other model interpretability tools to explain drivers of model behavior to Revenue Management partners.
- Contribute to CI/CD workflows (Azure DevOps), support data contracts with Data Engineering, and develop scalable API and batch-serving patterns.
- Communicate insights, assumptions, risks, and trade-offs in clear, concise, and executive ready narratives.
Requirements:
- Good conversational English
- 2–4 years of hands-on Data Science experience delivering production-grade ML solutions.
- Proficiency in Python (scikit-learn, XGBoost), Spark/Delta, SQL, Azure ML, Databricks, and MLflow ; familiarity with PyTorch or TensorFlow is a plus.
- Strong understanding of experimental design, statistical testing, and causal inference basics.
- Ability to translate technical concepts into actionable business insights ; skilled in stakeholder alignment and cross-functional communication.
Benefits:
- Training, certifications, and mentorship programs
- Community Engagement: Participate in local volunteering initiatives, tech meetups, and cultural events that connect you with the Capgemini community.
Similar Jobs
Senior Clinical Data Manager
Managing data management operations for clinical projects at Catalyst Clinical Research. Leading technical expertise and ensuring project execution meets sponsor satisfaction.
Senior Data Science Engineer, AI
Senior Data Science Engineer developing data solutions for healthcare financial transparency. Collaborating with interdisciplinary teams to build scalable data systems.
Fullstack Data Scientist
Fullstack Data Scientist focused on building and developing solutions at httpie.ai. Collaborating with the Engineering team to drive data-driven innovations.
Instructor for Data Science Continuing Education
Lehrkraft für die Weiterbildung zum Certified Data Scientist. Unterstützung der Teilnehmenden beim Aufbau fundierter Grundlagen in Data Science.
Head of Data Science
Head of Data Science at Render, defining and scaling the data function across products and teams. Lead impactful data strategies and mentor a world-class team of data scientists.
Data Science Intern – Computer Vision, Machine Learning
Data Science Intern focusing on computer vision and machine learning research for digital identity verification. Collaborating with senior scientists and engineers on real-world challenges.
Head of Data
Head of Data for the Solana Foundation developing and owning data strategy across the ecosystem. Leading team of analysts and ensuring data drives informed decisions.
Product Analytics Lead
Product Analytics Lead driving data-informed decision-making for e-commerce company. Leading behavioral analyses and uncovering insights to shape product strategy and optimization.
Lead Instructor, Data Science
Lead Instructor at WBS CODING SCHOOL, responsible for Data Science and Analytics programs. Engaging teaching with hands-on workshops and mentoring international students in a 100% remote setting.
Data Scientist
Data Scientist at Jensen Hughes leveraging data science techniques for predictive modeling in revenue forecasting and financial analytics. Join a diverse team in a fast-paced remote environment.
Data Scientist – Pricing
Data Scientist managing pricing systems for Nivoda, a global jewelry marketplace. Building analytical frameworks and conducting pricing experiments to optimize pricing decisions.
Data Scientist – Pricing
Data Scientist leading pricing optimization and analytics for Nivoda's global jewellery marketplace. Creating analytical foundation, experimenting, and connecting pricing across various platforms.
Senior Data Scientist
Senior Data Scientist developing cutting-edge AI solutions to enhance healthcare technology and improve patient outcomes. Collaborating with cross-functional teams to drive innovation in medical technology.
Senior Data Scientist – Engineering Simulation/ML
Senior Data Scientist at Capgemini Engineering focusing on ML applications in engineering domains. Collaborating with engineers to develop and validate machine learning models for design configurations.
Lead Data Scientist
Lead Data Scientist within Mercury Insurance's Growth Data Science team, optimizing acquisition and engagement strategies through data-driven solutions.
Senior Data Scientist
Data Scientist developing analyses and models for SaaS products in construction and compliance sectors. Collaborating with operations to transform customer behavior data into business decisions.
Space Data Manager
CAFM Analyst driving precision CAFM excellence for JLL, focusing on space data management and planning. Engage in innovative solutions and quality assurance for client success.
Senior Staff Engineer – Data Scientist
Senior Data Scientist with 8-10 years experience in data science and 2-4 years in manufacturing. Responsible for building scalable data solutions and deploying ML models in remote work setting.
Data Scientist – Utilization Management
Data Scientist at CVS Health building analytic solutions and machine learning models. Collaborating with data engineering teams to innovate healthcare analytics.
Senior Data Scientist
Data Scientist Sênior developing advanced analytics solutions for pricing and optimization at Keyrus. Collaborating with cross-functional teams to enhance business performance with data-driven strategies.