Data Scientist

Location: Bristol / Hybrid with occasional travel to customer and Leidos sites

Clearance: Applicants must have (or be able to obtain) UK SC clearance

Were ready for you to unleash your potential!

Role Overview:

We are seeking a Data Scientistto join us on a permanent basis. You will apply advanced analytical statistical and machinelearning 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 and architect stakeholders to design develop and operationalise datadriven solutions that deliver meaningful impact. This role offers the opportunity to deepen your expertise contribute to highvalue 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 machinelearning solutions
• Conducting exploratory data analysis and feature engineering to uncover insights and support decisionmaking
• Working closely with data engineers to ensure highquality scalable data pipelines for modelling
• Translating analytical findings into clear actionable recommendations for technical and nontechnical audiences
• Supporting the development of analytical roadmaps risk identification and mitigation planning
• Contributing to the operationalisation and monitoring of models in production environments

Required Skills:

• Experience in data science machine learning or applied analytics
• Proficiency in Python and common ML libraries (pandas NumPy scikitlearn TensorFlow PyTorch)
• Experience designing training and evaluating machinelearning models
• Solid understanding of statistical methods predictive modelling and experimental design
• Experience working in an agile delivery environment
• Strong problemsolving skills and attention to detail

Desired Skills:

• Ability to communicate analytical concepts clearly to nontechnical stakeholders
• Experience working with large or complex datasets including data cleansing and feature engineering
• Experience with cloudbased 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 bigdata technologies (Spark Hadoop)
• AWS certifications
• Experience supporting government or highly regulated environments

Clearance Requirements:

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

Leidos UK! Join our team and discover a culture of collaboration innovation diversity trust caring management communication transparency work-life balance and overall job satisfaction...

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:

Leidos UK & EUROPE we work to make the worldsaferhealthier andmore efficient through technology engineering andscience.

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.

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

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand 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.