Data Scientist in London

Data Scientist in London

London Entry level 28800 - 48000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead technical tasks in data science and tackle real-world data challenges.
  • Company: Join Leonardo UK, a global leader in Aerospace, Defence, and Security.
  • Benefits: Enjoy flexible working, generous leave, and access to 4,000+ online courses.
  • Why this job: Make an impact by solving customer problems with innovative data solutions.
  • Qualifications: Foundational data knowledge and proficiency in Python required.
  • Other info: Collaborative environment with excellent career growth opportunities.

The predicted salary is between 28800 - 48000 £ per year.

Your impact

Are you ready to apply your early-career experience in data science to lead technical tasks and contribute to the delivery of secure, high-integrity systems and services? At Leonardo UK, Data Scientists work under the guidance of experienced engineers and scientists to support data preparation, analysis, and automation tasks. You’ll gain hands-on experience with real-world data challenges while learning how to apply tools and techniques that support decision-making and innovation.

Your work at Leonardo UK will see you take the lead in solving customer problems in an agile, innovative and team-centric manner. The role may involve a blended hybrid working model, with a mixture of working from home and working on site at one of our Leonardo offices to ensure close collaboration with the wider team and with our customers.

What you will do as a Data Scientist:

  • Prepare, clean and transform structured and unstructured data to support analytical workflows
  • Apply basic statistical, machine learning and AI techniques to solve operational and business challenges
  • Design, develop and validate data models and visualisations to extract insights and inform decision-making
  • Contribute to the automation of data workflows using scripting and orchestration tools
  • Collaborate with engineers, analysts, and data scientists on project tasks
  • Document data processes and support compliance with data governance standards
  • Participate in training and development activities to build your technical capability

What you’ll bring:

  • A foundational understanding of data concepts, including data types, formats, and quality
  • Proficient in Python for data manipulation, analysis, and automation tasks
  • Familiarity with spreadsheets and databases (e.g. Excel, SQL)
  • An interest in learning about cloud platforms and data tools
  • A logical, problem-solving mindset and attention to detail
  • Willingness to work collaboratively and follow guidance from experienced colleagues
  • Demonstrated ability to work independently on technical tasks and contribute to project-level decision-making

Core Areas (must have):

  • Awareness of data lifecycle stages: collection, storage, processing, and analysis
  • Proficient programming skills in Python
  • Understanding of data quality and validation principles
  • Basic knowledge of data visualisation tools (e.g. Power BI, matplotlib, Excel)
  • Ability to follow documented procedures and maintain accurate records
  • Interest in working with cloud-based or hybrid data environments
  • Experience delivering engineering tasks with minimal supervision
  • Ability to contribute to technical discussions and propose solutions to moderately complex problems

Desirable:

  • Degree or equivalent experience in Data Science, Computer Science, Mathematics, or a related field
  • Experience leading small technical tasks or work packages
  • Exposure to APIs, scripting, or automation tools (e.g., Jupyter, GitHub Actions)
  • Awareness of data ethics, privacy, and security principles
  • Familiarity with Agile or DevOps ways of working
  • Interest in progressing toward roles in data analysis, engineering, or science
  • Demonstrated innovation in solving data challenges or improving processes

This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn.

Security Clearance

This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).

For more information and guidance please visit:

At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work–life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we’re here to help you thrive.

  • Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year.
  • Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution.
  • Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity.
  • Rewarding Performance: All employees at management level and below are eligible for our bonus scheme.
  • Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning.
  • Refer a friend: Receive a financial reward through our referral programme.
  • Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more.
  • Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.

For a full list of our company benefits please visit our website.

Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team—they are key contributors to shaping innovation, advancing technology, and enhancing global safety.

At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know.

Be part of something bigger - apply now!

Primary Location: GB - Bristol - Coldharbour Lane

Contract Type: Permanent

Hybrid Working: Hybrid

Data Scientist in London employer: Leonardo UK Ltd

At Leonardo UK, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Data Scientists benefit from a comprehensive benefits package, including generous leave, a robust pension scheme, and access to extensive learning resources, all while working in a hybrid model that promotes work-life balance. With a commitment to employee growth and a focus on diversity and inclusion, we empower our team members to thrive and make meaningful contributions to cutting-edge projects in the aerospace, defence, and security sectors.
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Contact Detail:

Leonardo UK Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist in London

✨Tip Number 1

Network like a pro! Reach out to current employees at Leonardo UK on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Scientist role. Personal connections can make a huge difference!

✨Tip Number 2

Prepare for those interviews! Brush up on your Python skills and be ready to discuss how you've tackled data challenges in the past. Practice common data science interview questions and think of examples that showcase your problem-solving abilities.

✨Tip Number 3

Show off your projects! If you’ve worked on any data-related projects, whether in school or on your own, make sure to highlight them. Create a portfolio or GitHub repository to demonstrate your skills and creativity in data manipulation and visualisation.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Leonardo UK. Let’s get you started on this exciting journey!

We think you need these skills to ace Data Scientist in London

Data Preparation
Data Analysis
Machine Learning
AI Techniques
Data Modelling
Data Visualisation
Scripting
Orchestration Tools
Python Programming
SQL
Excel
Data Quality Principles
Cloud Platforms
Problem-Solving Mindset
Collaboration Skills
Technical Documentation

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your experience with Python, data manipulation, and any relevant projects that showcase your skills. We want to see how you fit into our team!

Show Your Passion for Data: Let us know why you're excited about data science! Share any personal projects or experiences that demonstrate your interest in data analysis, machine learning, or automation. This helps us see your enthusiasm and commitment.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that makes it easy for us to understand your qualifications and experiences.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Leonardo UK Ltd

✨Know Your Data Basics

Brush up on your foundational understanding of data concepts. Be ready to discuss data types, formats, and quality during the interview. This will show that you have a solid grasp of the essentials that are crucial for a Data Scientist role.

✨Showcase Your Python Skills

Since proficiency in Python is key, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain how you've used Python for data manipulation or analysis in past projects. Practising common data tasks in Python can give you an edge.

✨Familiarise Yourself with Tools

Get comfortable with data visualisation tools like Power BI or matplotlib, as well as databases like SQL. Being able to discuss your experience with these tools will highlight your readiness to tackle the technical challenges of the job.

✨Emphasise Collaboration and Learning

Leonardo values teamwork and a willingness to learn. Be prepared to share examples of how you've worked collaboratively on projects and how you've approached learning new skills or technologies. This will demonstrate that you're a good fit for their team-centric culture.

Data Scientist in London
Leonardo UK Ltd
Location: London

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