Data Scientist/ Software Engineer

Capgemini; Greater London; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading engineering services company in the UK is hiring a Data Scientist/Software Engineer. In this role, you'll develop data processing pipelines and machine learning models to provide actionable insights for clients. Ideal candidates will have a relevant degree, software development experience, and knowledge of languages like Python or R. The position offers engaging projects, hybrid working flexibility, and access to extensive training resources to foster professional growth.

Benefits

Continuous feedback and performance management

Well-being Hub for work-life balance

Free access to learning platforms

Digital campus for training

Qualifications

• Degree in a relevant technical field is required.
• Experience with software development and MLOps practices.
• Knowledge of multiple programming languages such as Python, R, or Java.

Responsibilities

• Develop data processing pipelines and machine learning models.
• Create scalable software solutions integrating data science.
• Collaborate with domain experts for business requirements.

Skills

Experience with software development

Knowledge of Python

Familiarity with machine learning frameworks

Data manipulation with Pandas

Data visualization with Matplotlib

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field

Tools

scikit-learn

TensorFlow

PyTorch

NumPy

Job description

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

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.

Responsibilities

• 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

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 well as our digital campus on GenAI, data or sustainability, supporting 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

Disability Confident Employer

• 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.