Senior Data Scientist
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Role details
Tech stack
Job description
- Turn complex training, safety and operational challenges into clear data science solutions that support decision-making.
- Gather, prepare and analyse data from multiple sources, ensuring quality, accuracy and reliability.
- Apply advanced analytical techniques, statistical modelling and machine learning to identify trends, risks and opportunities.
- Develop, test and improve predictive models, analytical tools and data products that deliver meaningful insights.
- Write maintainable code and analytical scripts using tools such as Python, R and SQL, following best practice standards.
- Create compelling reports, dashboards and visualisations, clearly communicating findings to both technical and non-technical audiences.
- Collaborate with data engineers, digital teams, military personnel and subject matter experts to deliver scalable solutions.
- Act as a senior data science specialist, mentoring colleagues, championing data-driven decision making and ensuring robust governance, ethics and security standards are maintained.
Requirements
- An appropriate qualification in data science, statistics, mathematics, operational research, computer science or another quantitatively focused discipline, and/or equivalent practical experience delivering data science solutions.
- Significant practical experience applying statistics and data science methods to complex, real-world problems, with evidence of independently selecting methods and translating findings into decisions or operational improvements.
- Proficiency in at least one data science programming language, such as Python or R, and strong working knowledge of SQL. Ability to write, test, review and document moderate-to-complex analytical code.
- Applied experience of the data science lifecycle: problem framing, data preparation, exploratory analysis, feature development, modelling, validation, communication and transition into use.
- Good understanding of a range of techniques, including statistical modelling and machine learning. Experience in at least two relevant areas, such as forecasting, anomaly detection, optimisation, simulation, natural language processing or causal inference and experimental analysis.
Desirable Skills/Experience/Qualifications
- Knowledge and experience of collective training
- Knowledge of the military/Army
Benefits & conditions
- Salary up to £60,000 depending on skills and experience
- Enjoy flexible benefits including extra leave purchase, paid volunteering days, enhanced family leave, lifestyle discounts, and access to inclusive employee networks - all designed to support your wellbeing and personal growth.
- Onsite, secure parking
- Rewarding role making a real difference to those joining and progressing within the British Army
- Flexible working
About the company
Help transform the future of British Army training through the power of data.
As part of the OMNIA® Training consortium, the Army’s Strategic Training Partner, you’ll play a pivotal role in one of the UK’s most ambitious defence transformation programmes. Working at the heart of the Insights, Guidance and Control (IGC) Cell, you’ll turn complex training, safety and operational challenges into data-driven insights that influence senior decision-making, improve training effectiveness and help ensure the Army is ready to fight and win. This is a rare opportunity to apply advanced data science in a mission-critical environment where your work will have real-world impact.
Job title, The OMNIA® Training consortium brings together five leading UK defence training organisations: Capita, Raytheon, Rheinmetall, Cervus and Skyral. As the British Army’s Strategic Training Partner (STP), OMNIA has a clear mission: to transform collective training over the next 15 years and deliver world-class training for the British Army., At Capita, your career can take you wherever your ambition leads. You’ll become part of a diverse network of talented, forward-thinking professionals working across a wide range of disciplines and sectors. We’re committed to your growth - offering exciting opportunities to expand your skills, explore new paths, and advance your career. Join us and discover a career with purpose. #CareersWithPurpose
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