Senior Data Scientist / AI Engineer
Hybrid working: 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.
If you are successfully offered this position, you will go through a series of pre-employment checks, including:
identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)
Your Role
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.
You can bring your whole self to work. At Capgemini equity, diversity and inclusion is part of everyday life, and will be part of your working reality. We have built an inclusive and welcoming environment, for everyone.
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 usinPg 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.
Your Developed Vetting Clearance
To be successfully appointed to this role, it is a requirement to obtain Developed Vetting (DV) clearance.
To obtain DV clearance, the successful applicant must have resided continuously within the United Kingdom for the last 10 years, along with other very detailed criteria and requirements.
Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.
Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.
