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Senior Graph Data Scientist Engineer

Capgemini

Capgemini

Data Science
United Kingdom
Posted on Oct 21, 2024

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 seeking individuals with strong expertise in Graph Technologies and Graph Data Science, alongside skills in machine learning, GenAI, and data science. You will combine these with solid software engineering experience in designing and building scalable solutions. The role involves working closely with our clients to identify challenges, define impactful graph-based solutions, and clearly communicate how these solutions meet their goals. You will lead and motivate teams to ensure successful project delivery and may also author whitepapers and represent Capgemini at industry conferences.

Your Skills and Experience

We value a wide range of skills and experience. The more boxes you tick, the stronger your candidacy - and this will be reflected in both your starting grade and the overall package we offer. We're keen to reward excellence, so bring your best! We are looking for talented and motivated individuals with many, but not necessarily all, of the following skills and experience:

  • Graph Data Science: proficiency in graph data analytics; e.g. depth-first/breadth-first search, community detection, graph embeddings and graph neural networks.
  • Graph ontologies/data models: experience in ontology and knowledge graph design is strongly desired. An understanding of the distinction between Labelled Property Graphs and Resource Description Framework approaches would enhance your application.
  • Graph Databases: demonstrable experience in using Neo4j, ArangoDB, Apache Jena or other graph databases/technology to derive business insights. Data Science Capabilities: working understanding of a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.).
  • Communication Skills: strong ability to present complex technical work to clients in a clear, concise manner, manage stakeholder relationships, and inspire team members.
  • Cloud Platforms: demonstratable experience in building and deploying solutions to cloud platforms like AWS, Azure, or Google Cloud, using provisioning tools like Terraform. Technology Deployment: experience deploying solutions using Docker, Kubernetes, CI/CD platforms (e.g., Jenkins, ArgoCD), and GitHub for secure and robust implementations.

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 2023 global revenues of €22.5 billion.