{"id":3537605,"url":"https://alion.io/job/lloyds-banking-group-data-scientist-security-data-ai-lab","title":"Data Scientist - Security Data & AI Lab","company":{"id":449907,"name":"Lloyds Banking Group","domain":"lloydsbankinggroup.com","url":"https://alion.io/company/lloyds-banking-group","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0.4,"time_to_fill_p50_days":15,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Leeds, United Kingdom","Manchester, United Kingdom","Edinburgh, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":48987,"max":54430,"currency":"GBP","period":"year","gross":null,"usd_annual":72971},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-30T18:10:04Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-02T17:33:36Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"End Date\nFriday 13 November 2026Salary Range\n£48,987 - £54,430We support flexible working - click here for more information on flexible working options\nFlexible Working Options\nJob ShareJob Description Summary\n.Job Description\nJOB TITLE: Data Scientist - Security Data & AI Lab\nSALARY: £48,987-54,430\nLOCATION(S): Leeds, Manchester or Edinburgh\nHOURS: Full-time\nWORKING 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\nAbout this Opportunity:\nThis role sits within the Chief Security Office where it's our job to ensure we keep our customers, colleagues, and assets safe from threat. A key driver of this is data and AI, as such the Security Data & AI lab plays a critical role. We have a brilliant opportunity for a data scientist to join our team.\nIn this role, you'll help in transforming how we detect, mitigate, and prevent threats using advanced machine learning and agentic in one of the UK's most data-rich environments.\nWhat you’ll be doing:\nCollaborating with data engineers, DevOps engineers, and domain experts to deliver solutions across many branches of security.\nWorking with our internal customers and stakeholders to convert business problems into data science solutions. \nIntegrating solutions into the existing systems and processes through MLOps and model explainability, in order to ensure model insights are actionable. \nGrowing domain knowledge in Security, one of the most important fields of the future.\nBuilding and maintaining both traditional machine learning and agentic systems. \nContributing to the growth of data science understanding with demonstrations and show & tells to audiences of varying prior knowledge levels. \nParticipating in team ceremonies to better understand the work through planning, commit to clear achievable goals, drive appropriate prioritisation, escalate impediments accordingly and manage external dependencies effectively. \nWhy join us?\nIf you think all banks are the same, you’re wrong. We’re a pioneering, fast-changing business that’s shaping finance as a force for good. If you’re after a role where you can have an impact and do the best work of your career, you’ve just found it.\nWhat we’re looking for:\n Experience delivering data science or analytics projects from problem definition through to implementation, with the ability to articulate measurable business impact. \nSolid understanding of machine learning and the underlying statistics. Much of our work is with unsupervised ML models so we must draw on knowledge of fundamentals to make design decisions. \nKnowledge of foundational model systems and frameworks / best practices for building agents. \nExperience using Python and common data science libraries such as pandas, scikit-learn, NumPy and visualisation frameworks. \nStrong SQL skills with experience querying and transforming large datasets, ideally using platforms such as BigQuery, Snowflake, or similar 'big data' warehouses. \nEffective communication skills, with the ability to explain technical concepts and analytical findings to both technical and non-technical audiences. \nWorking knowledge of Cloud platforms and infrastructure. \nStrong problem-solving skills and a structured approach to turning business challenges into data-driven solutions. \nCurious and innovation-focused, driven to stay current with industry developments. \nWe know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.\nThis is a place for you\nOur ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we’re committed to creating an environment in which everyone can thrive, learn and develop.\nWe were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.\nWe offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.\nWe provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.\nWe also offer a wide-ranging benefits package, which includes:\nA generous pension contribution of up to 15%\nAn annual performance-related bonus\nShare schemes including free shares\nBenefits you can adapt to your lifestyle, such as discounted shopping\n28 days’ holiday, with bank holidays on top\nA range of wellbeing initiatives and generous parental leave policies\nFinishing Statement\nLike what you hear? Join us!\nAt Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.\nWe keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.\nWe're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. 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