Data Scientist/ Software Engineer

Your role

As a Data Scientist/ Software Engineer at Capgemini Engineering, you will be at the intersection of data science and software engineering, helping our clients transform data into actionable insights through robust software solutions. You'll work in cross-functional teams to develop data-driven applications and services that solve complex business challenges.

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 and 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 stillencourage 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 ClearanceOR Developed Vetting. 
• Location: Position can be based in London or Abingdon
• You can bring your whole self to work. At Capgemini building an inclusivefuture is part of everyday life and will be part of your working reality. We havebuilt a representative and welcoming environment, for everyone.