Senior Data Scientist/AI Engineer

at  Capgemini

ABOUT THE JOB YOU’RE CONSIDERING

We work with our clients to fully exploit their data using the power of AI & Analytics to deliver real business value at scale across the organisation. We have a proven track record of success across a wide range of public and private sector clients with whom we have built long-standing relationships of trust and collaboration. Our work ranges from delivering rapid proof-of-value innovation, through delivering enterprise-scale productionised analytical solutions, or provisioning advisory and strategic workstreams.

YOUR SKILLS AND EXPERIENCE

• Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.).
• Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand form on a day-to-day basis, and managing multiple stakeholder relationships and inspiring team-mates.
• Experience of winning work with private and public sector clients or internal clients within large organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn)
• Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform).
• Technology deployment– proven experience using technologies such as Docker, Kubernetes, CI/CD platforms (e.g. Jenkins, Tekton, ArgoCD), GitHub, to deploy complex solutions robustly and securely.
• Strong track record of building and leading technical teams, managing workloads and offering technical guidance and leadership, running Agile processes and identifying and mitigating project risk.

We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at scale. We seek individuals to collaborate closely with our clients, help them to identify problems and define impactful solutions. Then be able to explain clearly and concisely how our solutions address their goals and finally lead and motivate teams to deliver successfully. You can also take the opportunity to author internal and public whitepapers and represent Capgemini at conferences.