Data Science Professional
Listed on 2026-08-17
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IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Recruiter:
Lloyd Hughes
Career Grade: E
Closing Date: 2nd September 2026
Due to the sensitive nature of this role, you will be required to undergo DV (Developed Vetting) level Security Clearance (). An allowance of £5k per annum may be payable monthly while you hold this DV and continue to work in a role that requires that level of security clearance. The terms of this allowance will be made available if you are successful in being recruited into this role.
Security isn’t always the first thing that comes to mind when you think of BT, but when it comes to keeping everyone safely connected, We Are The Protectors. We deal with thousands of cyber-attacks every day, so that millions of people can safely go about their daily lives and run their businesses. We deliver vital work at scale, with real breadth and impact.
We connect for good.
You'll be joining a specialist security team that is a trusted partner to governments worldwide, protecting critical national infrastructure and committed to the safety and security of our nation and global communities. Our mission focused work is innovative, inspiring and technologically challenging in a way that makes every day different and stimulating. We provide the opportunity to work on rare projects, with exciting tools and brilliant people.
Everyone has access to unparalleled professional and personal development opportunities and your contribution is always valued.
As a Data Scientist, you'll help unlock the value hidden within some of the UK's most diverse and complex datasets.
Working alongside experienced technical specialists, you'll apply data science, advanced analytics, machine learning and emerging AI techniques to solve real-world challenges that have genuine operational and societal impact.
You'll work across a broad range of customer and business problems, helping transform data into actionable insight, supporting evidence-based decision making and contributing to innovative solutions that create measurable value.
No two assignments are likely to be the same. You could find yourself evaluating emerging AI technologies, developing classification models, exploring opportunities for automation, building analytical solutions or helping stakeholders understand complex information through clear and meaningful insight.
This role requires DV Clearance and will be onsite 5 days a week in either London, Manchester, Ipswich or Cheltenham.
What you’ll be doing- Apply Data Science, Machine Learning and AI techniques to transform complex data into actionable insight and measurable outcomes.
- Work with stakeholders and subject matter experts to understand complex cyber and network problems, define clear problem statements and identify where data science can add value.
- Identify, acquire, understand and combine relevant datasets from cloud, network and security environments.
- Analyse large-scale telecoms, DNS, network and cyber datasets to uncover patterns, risks, anomalies and opportunities for improved threat detection.
- Develop data science capabilities such as machine learning models, anomaly detection, graph analytics, big data processing pipelines, visualisations and reporting.
- Use tools such as Python, SQL and distributed data processing technologies to build scalable analysis and reusable capability.
- Translate complex analysis into clear insight, recommendations, reports and presentations for technical and non-technical stakeholders.
- Collaborate with data scientists, engineers, cyber specialists and product teams to take ideas from exploration through to practical delivery.
- Contribute to agile team activities, knowledge sharing, peer review and continuous improvement of our data science practice.
- Experience using Python, R or similar tools for analysis, modelling, visualisation or automation.
- An understanding of core data science techniques such as exploratory data analysis, statistical reasoning, machine learning, summarisation and visualisation.
- The ability to work with complex or messy datasets and turn them into useful insight.
- Experience working with large-scale data using tools such as Apache…
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