Senior Data Scientist
Senior Data Scientist

Senior Data Scientist

Full-Time 61500 - 78800 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and develop advanced data-driven solutions using machine learning and statistical techniques.
  • Company: Join Leidos, a leader in defence supply chain transformation with a collaborative culture.
  • Benefits: Enjoy competitive salary, private medical insurance, 33 days annual leave, and flexible working options.
  • Why this job: Make a real impact on UK Government programmes while deepening your data science expertise.
  • Qualifications: Experience in data science, strong Python skills, and ability to communicate insights clearly.
  • Other info: Diverse and inclusive workplace with excellent career growth opportunities.

The predicted salary is between 61500 - 78800 ÂŁ per year.

Location: Bristol, occasional travel to customer and Leidos sites may be required.

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:

  • Clearance to Start BPSS
  • Clearance for Role SC
  • Applicants must have (or be able to obtain) SC clearance

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.

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

Who We Are:

The Logistics Commodities & Services Transformation (LCST) Programme for the UK Ministry of Defence is a critical effort to enhance and improve the UK's defence supply chain. The programme provides essential services such as storage and distribution for the MOD's materiel, including a global freight service and the procurement and inventory management of 70,000 commodity NATO Stock Number (NSNs).

Working together as Team Leidos we are helping to transform the UK's defence supply chain by providing an integration of a complex mixture of services, at low risk, using a modern suite of systems that will deliver one version of the truth.

What Makes Us Different:

  • Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe.
  • Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team.
  • People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing.

Senior Data Scientist employer: Leidos

At Leidos, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Senior Data Scientist in Bristol, you will have access to exceptional career growth opportunities, a comprehensive benefits package including a contributory pension scheme and private medical insurance, and the flexibility to balance your professional and personal life. Join us in making a meaningful impact on the UK's defence supply chain while being part of a diverse team that values every perspective.
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Contact Detail:

Leidos Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist

✨Tip Number 1

Network like a pro! Reach out to current employees at Leidos or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python and machine learning libraries. Practice explaining complex concepts in simple terms – you want to impress both technical and non-technical folks!

✨Tip Number 3

Showcase your problem-solving skills during interviews. Be ready to share specific examples of how you've tackled challenges in past projects. This will demonstrate your analytical mindset and ability to deliver impactful solutions.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Leidos team and contributing to our mission.

We think you need these skills to ace Senior Data Scientist

Data Science
Machine Learning
Statistical Modelling
Python
pandas
NumPy
scikit-learn
TensorFlow
PyTorch
Data Analysis
Feature Engineering
Data Cleansing
Communication Skills
Agile Methodologies
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with Python, machine learning, and any relevant projects that showcase your skills. We want to see how you can contribute to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our mission at Leidos. Keep it engaging and personal – we love to see your personality!

Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples of how you've tackled complex problems in the past. We’re looking for those strong problem-solving skills that will help us outthink and outpace the status quo.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our amazing culture!

How to prepare for a job interview at Leidos

✨Know Your Stuff

Make sure you brush up on your data science fundamentals, especially around machine learning techniques and statistical methods. Be ready to discuss your experience with Python and libraries like pandas and scikit-learn, as well as any projects you've worked on that showcase your skills.

✨Showcase Your Problem-Solving Skills

Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical thinking and attention to detail.

✨Communicate Clearly

Since you'll be translating complex analytical concepts for non-technical stakeholders, practice explaining your work in simple terms. Think of examples where you've successfully communicated insights and recommendations to diverse audiences.

✨Be Ready to Collaborate

This role involves working closely with various teams, so be prepared to discuss your experience in collaborative environments. Share examples of how you've contributed to team projects and supported junior colleagues, showcasing your mentorship abilities.

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