At a Glance
- Tasks: Lead a team to innovate in AI-driven cybersecurity solutions and anomaly detection.
- Company: Join Lloyds Banking Group, a leader in financial services with a focus on security.
- Benefits: Enjoy a competitive salary, generous pension, 30 days holiday, and flexible working options.
- Other info: Inclusive workplace that values diversity and offers excellent career growth opportunities.
- Why this job: Make a real impact in cybersecurity while advancing your career in a dynamic environment.
- Qualifications: Proven experience in data science, especially in cybersecurity, with strong Python and ML skills.
The predicted salary is between 92701 - 109060 £ per year.
Job Summary
Lead Data Scientist – a leadership role within the Chief Security Office (CSO) at Lloyds Banking Group.
The role focuses on advancing the Security Data and AI lab, leveraging advanced AI and machine learning to detect, mitigate, and prevent cyber threats.
- Location
- Edinburgh, Leeds, Manchester & Bristol
- Salary
- £92,701 – £109,060
- Working Hours & Pattern
Full time (35 hours).
The work style is hybrid, requiring at least 40% of time or two days per week at an office site.
Flexibility is supported in line with our Flexibility Works policy.
Responsibilities
- Own the delivery of security outcomes, 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.
Qualifications
- Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics.
- Deep expertise in Python, ML frameworks (Tensor Flow, Py Torch), and cloud platforms, preferably GCP.
- Strong grasp of anomaly detection, time‑series modelling, and deep‑learning architectures.
- Experience with LLMs and generative AI in production environments is highly desirable.
- Passion for ethical AI, model governance, and secure ML operations.
- Excellent communication and customer engagement skills.
- Innovator mentalty – a change agent who keeps up to date with the latest trends to ensure strategies remain at the forefront of the industry.
- Nice to Have
- Understanding of emerging threats within Cyber Security.
Benefits
- A generous pension contribution of up to 15%
- An annual bonus award, subject to Group performance
- Share schemes, including free shares
- Benefits that can be adapted to your lifestyle, such as discounted shopping
- 30 days holiday, plus bank holidays
- A range of wellbeing initiatives and generous parental leave policies
- Working for Us
We are inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms.
We welcome applications from under‑represented groups and are disability confident.
Reasonable adjustments to the recruitment process are welcomed.
Additional Information
If you’re excited about becoming part of our team, get in touch.
We’d love to hear from you.
We do not ask for confidential or sensitive information until the interview or offer stage.
Legal Statements
We keep your data safe.
We only ask for confidential or sensitive information once formally invited to interview or accepted a verbal offer, when background checks are run.
We also commit to a values‑led culture and a workforce that reflects our customers and communities.
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Lead Data Scientist in Wellington employer: LLOYDS BANKING GROUP
Lloyds Banking Group is an exceptional employer that prioritises employee well-being and professional growth, offering a dynamic work culture that fosters collaboration and innovation. With the flexibility of remote working and opportunities for career advancement within the Economic Crime Prevention function, employees can thrive in a supportive environment while contributing to meaningful compliance efforts. The company's commitment to diversity and inclusion further enhances its appeal, making it a rewarding place to build a career.
