Data Scientist

Job Description:

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.

• 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

• 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

• 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

• 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, Git Hub Actions)

• Awareness of data ethics, privacy, and security principles

• Familiarity with Agile or Dev Ops 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.

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…