Data Science Expert
4 weeks ago
We are seeking an exceptional individual to join our team as a Data Scientist. As a key member of our analytics capability, you will be responsible for driving growth through data-driven insights and innovative solutions. This role requires a strong background in machine learning, GenAI, computer vision, and data science, combined with experience in solution architecture and software engineering.
You will work closely with our C-suite client stakeholders to identify and define their challenges and opportunities, and develop strategies to address them using our analytics offering. You will also lead and motivate teams to successfully deliver projects, publishing internal and public whitepapers and representing Capgemini at conferences.
Key Responsibilities- Leverage large-scale delivery of AI techniques, including supervised and unsupervised machine learning, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.
- Win 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.
- Lead teams using technologies such as Docker, Kubernetes, CI/CD platforms, and data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker).
- Proven experience in winning work with clients.
- Demonstrable experience of leading teams using various technologies.
- Security Check (SC) clearance is required for this role.
Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. A powerful source of energy that drives us all to find new ways technology can help us reimagine what's possible. And you'll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
Estimated SalaryThe estimated salary for this role is around £80,000 - £110,000 per annum, depending on location and experience.
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