Data Scientist - Automotive field

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Your role

We are looking for a talented Data Scientist/Engineer to join our client's IT&D Data & Analytics Center of Expertise Science Team in the automotive sector. In this role, you will develop and deploy data analytics solutions for Business Units across the organization at a Pan-European level, helping to drive data-informed decision making and innovation in the automotive industry.

In this role you will play a key role in:

• Analyzing and preprocessing large datasets using Python and SQL to extract meaningful insights for business units
• Developing and deploying predictive models, recommendation systems, anomaly detection algorithms and optimization scripts using various machine learning models
• Validating and interpreting results using statistical concepts and methodologies to ensure accuracy and reliability
• Creating interactive visualizations and dashboards to effectively communicate insights to stakeholders across the organization
• Implementing end-to-end ML solutions from concept to production using MLOps best practices
  
  

Your profile

• Master's degree in Engineering, Mathematics, Statistics, or related field (additional degree in Computer Science is a plus)
• 2+ years of professional experience as a Data Scientist with demonstrated expertise in machine learning modeling with tabular data, time series, and NLP
• Strong programming skills in Python and SQL, with experience in creating web applications using frameworks like Streamlit or Dash
• Proficiency with the Dataiku DSS Platform, including required certifications: Core Designer Path, Advanced Designer Path, ML Practitioner Path, and Developer Path
• Experience with Snowflake cloud data warehouse platform and understanding of data architecture principles
• Familiarity with the automotive sector's business practices is highly advantageous
  
  

What You'll Love About Working Here

• Hybrid working: We encourage flexibility when it comes to when and where work gets done. Employees work with their managers to determine an arrangement that works best for their role and personal circumstances.
• Free access to learning platforms: Free access for all to world-class learning assets and curated programs from Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.
• Worldwide Leader of Engineering Services: Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. We help our clients unleashing their R&D potential to develop smart products and services of tomorrow.
• Dedicated innovation labs: We help the world's largest innovators engineer the products and services of tomorrow by leveraging our experts and labs, dedicated to topics as 5G, 6G, AI, Autonomous Vehicles and Quantum.
  
  

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.