Data Scientist/ Software Engineer

Capgemini
Abingdon
2 weeks ago
Create job alert

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life‑saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.


Your role

In this role you will play a key role in:



  • Developing and implementing data processing pipelines and machine learning models to extract insights from complex datasets
  • Creating robust, scalable software solutions that integrate data science capabilities into production environments
  • Collaborating with domain experts to understand business requirements and translate them into technical specifications
  • Collaborating with industry experts to understand and solve complex problems using data insights
  • Performing exploratory data analysis and visualization to communicate findings to stakeholders
  • Implementing and optimizing algorithms for data processing, feature extraction, and model training

Your Profile

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Natural Sciences, or related technical field
  • Experience with software development and MLOps practices
  • Knowledge of multiple programming languages such as Python, R, or Java.
  • Familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
  • Understanding of data structures, algorithms, and software design principles
  • Experience with data manipulation libraries such as Pandas and NumPy, and visualization tools such as Matplotlib and Seaborn

If you're excited about this role but don’t meet every requirement, we still encourage you to apply, your unique experience could be just what we need.


What you’ll love about working here

  • Impactful dynamic projects: You’ll be working with our industry leading staff to solve varied and challenging problems for some of the world’s most successful businesses
  • Continuous feedback: We take a human-centric approach to foster growth and performance. Our performance management tool GetSuccess enables continuous feedback, quarterly check-ins with managers, and ongoing performance discussions.
  • Well-being Hub: The global Well-Being Hub connects employees across various facets of well-being: work-life balance, working hours and network growth.
  • Hybrid working: We encourage flexibility when it comes to when and where work gets done. Employees work with their managers to determine an arrangement that works best for their role and personal circumstances.
  • Free access to learning platforms: Free access for all to world-class learning assets and curated programs from Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.
  • Digital campuses and academy: Our engineering academy offers more than 60,000 hours of training, as also our digital campus on GenAI, data or sustainability, support digital learning in the flow of work from awareness to expert certifications.
  • Open access to digital learning platforms
  • Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@Capgemini

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:



  • Declare they have a disability, and
  • Meet the minimum essential criteria for the role.
  • Please opt in during the application process.

Need to know

  • All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting.
  • Location: Position can be based in London or Abingdon
  • You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist & Software Engineer (ML/Ops)

Data Scientist – Content Engineering

Principal Data Scientist

Principal Data Scientist

Data Scientist – GenAI & AI Engineering

Senior Data Scientist – Content Engineering

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.