Data Scientist

Leonardo; Newcastle upon Tyne; Hybrid; GBP 53,000 - 65,000; Full time

Benefits offered by this job

Hybrid working

Pension scheme

Learning & development

Job summary

Leonardo is seeking a Data Scientist in the UK to transform complex data into actionable insights. You will deliver advanced analytics, predictive modelling, and BI solutions to influence strategic and operational decisions.

Join a team shaping data-driven decisions across diverse stakeholders. The role offers hybrid work, with responsibilities spanning model development, data integration, and building interactive dashboards for senior management.

Qualifications

• Strong experience with SQL and BI platforms (Power BI/Tableau/Qlik).
• Proficiency in Python or R for data analysis and modeling.
• Experience in developing, deploying and maintaining predictive models.

Responsibilities

• Develop, validate and deploy predictive models and ML algorithms.
• Analyze large structured and unstructured data to identify trends and risks.
• Design, build and maintain dashboards and automated reports for stakeholders.

Skills

SQL

Power BI

Tableau

Qlik

Python

R

ETL

Data quality

Big data

Tools

Power BI

Tableau

Qlik

Job description

Your impact

Salary Range: £53,000 - £65,000

Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity.

Your impact

Job Description

Salary Range: £53,000 - £65,000

Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity.

Your impact

Are you passionate about turning complex data into powerful business decisions?

Join our team and help shape the future of data-driven decision-making by delivering advanced analytics, predictive modelling, and business intelligence solutions that influence strategic and operational outcomes across the organisation. This role offers the opportunity to work with diverse stakeholders, modern analytics technologies, and large-scale datasets to unlock valuable insights and drive measurable business impact.

What You Will Do As a Data Scientist

You will play a key role in transforming data into actionable intelligence, helping the business identify opportunities, mitigate risks, and make informed decisions.

Key Responsibilities Include

• Developing and implementing predictive models and machine learning algorithms to support strategic and operational decision-making.
• Analysing large volumes of structured and unstructured data to identify trends, risks, and opportunities.
• Validating, monitoring, and optimising analytical models to ensure accuracy, reliability, and business value.
• Collaborating with stakeholders across product, operations, technology, and business functions to shape and deliver data-driven solutions.
• Designing, building, and maintaining interactive dashboards and automated reporting solutions.
• Extracting, transforming, and integrating data from multiple sources while ensuring data quality and integrity.
• Translating business challenges into analytical approaches, selecting the appropriate methodologies, tools, and techniques.
• Delivering descriptive, diagnostic, and predictive analysis to support management and business decision-making.
• Applying data science and analytics best practices, including documentation, governance, and reproducibility.

What You'll Bring

We're looking for a data professional with strong technical and analytical expertise who can transform complex datasets into meaningful business outcomes.

Essential Skills And Experience

• Strong experience using SQL and business intelligence platforms such as Power BI, Tableau, or Qlik.
• Proficiency in Python or R for data analysis, statistical modelling, and predictive analytics.
• Experience developing, deploying, validating, and maintaining predictive models and machine learning solutions.
• Strong understanding of ETL processes, data integration, and data quality management.
• Experience working with large, complex structured and unstructured datasets.
• Knowledge of statistical analysis techniques and their application to real-world business problems.
• Understanding of data architecture principles and the processes required to support effective data delivery and reporting.
• Proven ability to translate business requirements into analytical solutions and actionable insights.
• Experience creating dashboards, self-service reporting, and visualisations that support decision-making.

Desirable

• Experience with data governance, model management, and analytics best practices.
• Professional certifications in data management, analytics, business intelligence, or related disciplines (e.g. DAMA International or equivalent).

This is an excellent opportunity to use advanced analytics and data science techniques to influence business strategy, improve operational performance, and deliver meaningful outcomes across the organisation.

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: https://careers.uk.leonardo.com/gb/en/security-and-vetting

Why join us

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 (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity).
• 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.

Primary Location

GB - Edinburgh

Additional Locations

GB - Basildon, GB - Bristol - Coldharbour Lane, GB - Luton - Cap. Green 300, GB - Newcastle, GB - Southampton

Contract Type

Permanent

Hybrid Working

Hybrid