At a Glance
- Tasks: Lead exciting data projects and solve complex challenges for government clients.
- Company: Join one of the UK's fastest-growing tech consultancies with a values-driven culture.
- Benefits: Competitive salary, professional development, and the chance to make a real impact.
- Other info: Dynamic, agile environment with opportunities for personal growth and collaboration.
- Why this job: Shape the future of critical public sector programmes and enhance national security.
- Qualifications: 5+ years in data science, strong Python skills, and experience with cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
We are recruiting for a Data Scientist on behalf of one of the UK's fastest-growing technology consultancies, ranked in the Financial Times FT1000 Europe's Fastest-Growing Companies list in both 2025 and 2026. This is a genuinely compelling opportunity for a Data Scientist who wants their work to mean something. Our client is a fast-growing, values-driven consultancy working at the heart of the UK's most critical public sector programmes, spanning cyber security, national security, law enforcement, and telecommunications. As a Data Scientist, you will tackle complex, high-stakes data challenges for government clients, applying advanced data science and machine learning techniques to help organisations make faster, more accurate, and better-informed decisions where it really counts.
Key Responsibilities
- Leading client projects and providing subject matter expertise, including pitches and presentations.
- Working in scrum-like environments for iterative, fail-fast work and innovation.
- Assessing clients' business and technical needs, identifying opportunities for data science and managing stakeholder relationships appropriately.
- Identifying relevant data sources and working with various forms of data, including unstructured, semi-structured, and structured formats, modelling them appropriately for efficient data science use.
- Investigating and analysing data to identify meaningful insights, applying statistical and evidence-based techniques to inform actions.
- Communicating technical content clearly to both internal teams and clients, presenting a compelling narrative of the data using data science tooling.
- Building maintainable code using existing data science libraries, implementing established techniques or developing novel approaches as required.
- Designing, evaluating, and implementing on-premises, cloud-based, and hybrid data science and machine learning techniques and algorithms, including testing, risk identification, and mitigation.
- Developing scalable models and algorithms suitable for production deployment.
- Applying ethical principles in handling data.
Key Requirements
- 5+ years of degree-level industry experience in data science, with a background in a STEM subject.
- Experience working in a consultancy, engineering, or data industry.
- Experience leading client delivery across data science, data engineering, and data security projects, with proven Python skills applied to data science.
- Experience working on cloud-based infrastructure such as AWS, Azure, or GCP.
- Knowledge of CI/CD tooling to analyse, build, test, and deploy code.
- Experience in database technologies including SQL, NoSQL such as Elasticsearch, and graph databases.
- Solid understanding of coding best practices, design patterns, versioning, dependency management, code quality, optimisation, error handling, logging, monitoring, and alerting.
- Demonstrable continuous personal development and strong interpersonal skills.
If you enjoy untangling complex data problems, thrive in uncertain environments, and want to be part of a team that is agile, collaborative, and genuinely daring, this is an opportunity worth exploring. You will have the chance to lead from the front, shape the future of a fast-growing business, and do work that has real, lasting impact on the security and resilience of the UK.
Due to the nature of the clients and projects supported by this role, all candidates must be British nationals and eligible to obtain UK Security Clearance (SC). Candidates holding dual nationality or multiple passports are unfortunately unable to be considered for this position.
Data Scientist in London employer: Claims Recruitment Services
Join one of the UK's fastest-growing technology consultancies, where your role as a Data Scientist will not only challenge you but also contribute to critical public sector programmes. With a strong emphasis on values-driven work culture, you'll enjoy opportunities for professional growth, collaboration in agile teams, and the chance to make a meaningful impact on national security and resilience. Located in London, this dynamic environment fosters innovation and supports continuous personal development, making it an excellent place for those looking to advance their careers while working on high-stakes data challenges.
Contact Details:
Claims Recruitment Services Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Claims Recruitment Services.
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We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Claims Recruitment Services, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Claims Recruitment Services. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Claims Recruitment Services
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Claims Recruitment Services!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
