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Principle Data Scientist/Artificial Intelligence Engineer

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 Role

We are looking for an exceptional individual with demonstrable thought leadership and deep technical expertise in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering experience, who can define our go-to-market strategy to drive growth in our already successful analytics capability. We are looking for someone who can work with our C-suite client stakeholders to identify & define their challenges and opportunities and explain in business-friendly language how our analytics offering would help them to achieve their goals, and then lead and motivate teams to successfully deliver. You will publish internal and public whitepapers and represent Capgemini at conferences to showcase our capabilities and awareness of the current state-of-the-art in AI & Analytics.

Your Skills and Experience

We are looking for talented and motivated individuals with many but not necessarily all the following skills and experience:

  • Experience of successfully large-scale delivery 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.Strong track record of building and leading technical teams, managing workloads and offering technical guidance and leadership, defining upskilling strategies, running Agile processes and identifying and mitigating project risks.
  • Proven 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 and 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 leading teams who build and deploy solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform).
  • Technology deployment– demonstrable experience of leading teams using technologies such as Docker, Kubernetes, CI/CD platforms (e.g. Jenkins, Tekton, ArgoCD), GitHub, to deploy complex solutions robustly and securely.

Your Security Clearance

To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. 
To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other 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.

What Does 'Get The Future You Want' Mean To You?

You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. 
You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.

Why You Should Consider Capgemini

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses. And it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge and always pushing yourself to do better, you’ll build the skills you want. And you’ll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is.  

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organisation of over 360,000 team members in more than 50 countries. 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. The Group reported in 2022 global revenues of €22 billion.

Principle Data Scientist/Artificial Intelligence Engineer

London, UK
Birmingham, UK
Manchester, UK
Bristol, UK
Glasgow, UK
Permanent

Published on 06/06/2024

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