Lead Data Scientist

• WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites.

Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy

• In this role, you’ll be owning the way in transforming how we detect, mitigate, and prevent cyber threats using advanced AI and machine learning.

This is a rare opportunity to build the future of cybersecurity in one of the UK’s most data-rich environments

• Own the delivery of security outcomes, including defining and evolving approaches to anomaly detection that balance performance, explainability, and operational risk
• Lead a team of Data Scientists
• Drive innovation in LLM-based security automation, including prompt engineering, RAG pipelines, and fine‑tuning of models
• Collaborate with Data Engineers to build scalable, secure, and production‑ready ML pipelines on GCP
• Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e. g. SOC2, SWIFT, SOX)
• Contribute to the Data Science Community of Practice, helping shape best practices across the organisation
• Translate sophisticated data insights into actionable intelligence for collaborators across the Group COO and CSO functions

Benefits

• A generous holiday allowance: You’ll be eligible for a minimum of 22 days holiday (excluding bank holidays), rising to 30 days based on length of service and grade.
• A flexible way of working: Whether you want flexibility over your location or when you log on, together we can create an approach that works for you and for the business.
• Family leave: Up to 63 weeks of maternity or adoption leave.

Statutory maternity or adoption pay is available for 39 weeks, and 20 weeks will be enhanced to the equivalent of full pay.

Partners can have six weeks of fully paid paternity leave.

• Flex cash: This is 4% of your basic salary and can be used to spend on the benefits of your choice, or you can choose to take it as a cash top up in your monthly salary.
• Health insurance: Our company funded Private Medical Benefit provides all colleagues with access to good quality medical care, including accommodation, nursing care and specialist advice.
• Colleague

Offers: Get discounts on everything from electrical items to cinema tickets and weekly food shopping.

You can share this benefit with up to ten family members or friends.

• Financial products: Take advantage of our great financial products, some at a discounted rate, including current accounts, home and car insurance and loans.
• Share plans: Participate in Sharematch and receive matching shares of up to £45 a month from the company, and you can choose to participate in Sharesave, our combined savings and share option plan.
• Pension: We offer a generous pension plan, with all joiners being automatically enrolled in our ‘Your Tomorrow’ scheme.

You can decide how much you save and get a say in where your contributions are invested.

Qualifications

• Excellent communication and customer engagement skills
• Artificial Intelligence Ethics – A passion for ethical AI, model governance, and secure ML operations
• Innovators Mentality – An innovator and change agent who keeps up to date with the latest trends and developments in data engineering and cyber security to ensure our strategies remain at the forefront of the industry
• Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics
• Data Engineering – Deep expertise in Python, ML frameworks (e. g. Tensor Flow, Py Torch), and cloud platforms (preferably GCP)
• Deep Learning Theory & Applications – Strong grasp of anomaly detection, time‑series modelling, and deep learning architectures
• Experience with LLMs and generative AI in production environments is highly desirable
• Understanding of the emerging threats within Cyber Security
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