Senior Data Scientist / AI Engineer

Capgemini; London; Hybrid; EUR 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Scientist / AI Engineer, where you will leverage your expertise in AI and data science to deliver impactful solutions for a diverse range of clients. This role offers the opportunity to work in a hybrid environment, balancing office, client site, and home work. You will collaborate closely with clients, lead technical teams, and contribute to innovative projects that drive real business value. With a commitment to equity, diversity, and inclusion, you'll thrive in an inclusive atmosphere that encourages personal and professional growth. If you're passionate about technology and eager to make a difference, this is the perfect opportunity for you.

Benefits

Flexible working arrangements

Training and development opportunities

Access to numerous external certifications

Positive work-life balance

Qualifications

• Proven experience in AI techniques and machine learning.
• Strong ability to manage stakeholder relationships and inspire teams.
• Experience with data science platforms and cloud solutions.

Responsibilities

• Design and build scalable AI solutions for clients.
• Collaborate with clients to identify and solve problems.
• Lead and motivate teams to deliver successful projects.

Skills

Machine Learning

GenAI

Computer Vision

Data Science

Strong Communication Skills

Statistical Analysis

NLP

Sentiment Analysis

Cloud Platforms

Agile Processes

Education

Bachelor's Degree in Computer Science or related field

Master's Degree in Data Science or AI

Tools

Databricks

AzureML

TensorFlow

AWS

Docker

Kubernetes

GitHub

Job description

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Senior Data Scientist / AI 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.

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-employmentchecks, 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 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.

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.

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.

Ref. code: 104482

Posted on: 6 Apr 2025

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

London, GB Birmingham, GB Glasgow, GB Woking, GB Telford, GB Bristol, GB Manchester, GB