Data Scientist
Role details
Job location
Tech stack
Job description
- 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.
Requirements
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.
Benefits & conditions
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.