Senior Data Scientist

Leidos
Bristol
3 weeks ago
Create job alert
Senior Data Scientist

Programme: LCST


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


Role Overview

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

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. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs.


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. For the first time, the MOD will see the whole picture, as it is happening.


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.


If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.


Original Posting

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.


Pay Range

£61,500.00-£78,800.00


The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.


Pay And Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.


Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at .


If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.


Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist (GenAI)

Senior Data Scientist

Senior Data Scientist & Machine Learning Researcher

Senior Data Scientist (GenAI)

Senior Data Scientist (GenAI)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.