At a Glance
- Tasks: Design and develop advanced data-driven solutions using machine learning and statistical techniques.
- Company: Join Leidos, a leader in technology and innovation with a collaborative culture.
- Benefits: Enjoy competitive salary, private medical insurance, 33 days annual leave, and flexible working options.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact on government programmes while deepening your data science expertise.
- Qualifications: Experience in data science, strong Python skills, and ability to communicate insights clearly.
We are seeking a Senior Data Scientist to join us on a permanent basis. You will apply advanced analytical, statistical, and machine‑learning techniques to support major UK Government programmes and the wider enterprise, working across multidisciplinary teams throughout the UK.
You will collaborate with delivery managers, engineers, architects, and customer stakeholders to design, develop, and operationalise data‑driven solutions that deliver meaningful impact. This role offers the opportunity to deepen your expertise, contribute to high‑value projects, and help shape the analytical capability within one of the strongest teams in the business.
Your Responsibilities Will Include:
- Designing, developing, and validating statistical models and machine‑learning solutions
- Conducting exploratory data analysis and feature engineering to uncover insights and support decision‑making
- Working closely with data engineers to ensure high‑quality, scalable data pipelines for modelling
- Translating analytical findings into clear, actionable recommendations for technical and non‑technical audiences
- Supporting the development of analytical roadmaps, risk identification, and mitigation planning
- Contributing to the operationalisation and monitoring of models in production environments
- Evaluating emerging tools, frameworks, and methodologies to enhance analytical capability
- Providing guidance and informal mentorship to junior data scientists and analysts
- Ensuring responsible, ethical, and secure use of data and AI
Required Skills:
- Experience in data science, machine learning, or applied analytics
- Strong proficiency in Python and common ML libraries (pandas, NumPy, scikit‑learn, TensorFlow, PyTorch)
- Experience designing, training, and evaluating machine‑learning models
- Solid understanding of statistical methods, predictive modelling, and experimental design
- Experience working with large or complex datasets, including data cleansing and feature engineering
- Ability to communicate analytical concepts clearly to non‑technical stakeholders
- Experience working in an agile delivery environment
- Strong problem‑solving skills and attention to detail
Desired Skills:
- Experience with cloud‑based ML services (AWS SageMaker, Azure ML, Databricks)
- Familiarity with MLOps practices and model lifecycle management
- Experience with NLP, deep learning, or computer vision
- Knowledge of data visualisation tools (Power BI, Tableau)
- Exposure to big‑data technologies (Spark, Hadoop)
- AWS certifications
- Experience supporting government or highly regulated environments
Clearance Requirements:
- BPSS Pre-screening required to start
- SC required for the role
- Applicants must have (or be able to obtain) SC clearance
What we do for you:
At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance.
We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes:
- Contributory Pension Scheme
- Private Medical Insurance
- 33 days Annual Leave (including public and privilege holidays)
- Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme)
- Flexible Working Scheme
Commitment to Diversity:
We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone.
Who We Are:
Leidos UK & EUROPE– we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation.
What Makes Us Different:
Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change.
Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours.
People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future.
Data Science Data Science Senior Data Scientist (Remote) in Bristol employer: Leidos
Leidos is an exceptional employer that fosters a dynamic work culture in Whiteley, Hampshire, where innovation and collaboration thrive. With a strong focus on employee growth, we offer comprehensive benefits including a contributory pension, private medical insurance, and an impressive 33 days of annual leave, ensuring our team members are well-supported both personally and professionally. Join us to be part of a market-leading operation that values your contributions and empowers you to drive meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Remote) in Bristol
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Leidos!
✨Show Off Your Projects
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✨Leverage Professional Networks
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 Leidos.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Data Science Senior Data Scientist (Remote) at Leidos, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Remote) in Bristol
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 Leidos, 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 Leidos. 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 Leidos
✨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 Leidos!
✨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.