{"id":94082,"url":"https://alion.io/job/capco-data-science-manager","title":"Data Science Manager","company":{"id":1444,"name":"Capco","domain":"capco.com","url":"https://alion.io/company/capco-poland","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":76,"open_postings":120,"ghost_share":0.017,"stale_share":0.9,"repost_share":0.017,"time_to_fill_p50_days":42,"computed_at":"2026-10-17T05:46:00Z"}},"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":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":161000,"period":"year","method":"role_country_seniority_unknown","sample_n":159},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"SciPy","optional":false},{"name":"spaCy","optional":false},{"name":"Spark","optional":false},{"name":"Transformers","optional":false},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2025-10-29T09:57:17Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-18T01:49:24Z","board_verified":true,"closed_at":null,"days_open":353,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":352},"description":"Data Science Manager\nLocation: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent\nShape intelligent solutions. Lead with insight. Drive data innovation.\nThe Role\nWe’re looking for a Data Science Manager to lead innovative projects that apply data, AI, and machine learning to solve complex challenges across financial services. You’ll guide talented data professionals, collaborate closely with business stakeholders, and drive impactful, scalable solutions that deliver measurable business value. You'll champion AI-enabled ways of working, encouraging the responsible use of approved AI tools and automations to improve delivery quality, productivity, and insight while maintaining appropriate human oversight and governance.\nWhat You’ll Do\nLead data science teams to design, develop, and deploy advanced machine learning and AI solutions.\nDrive the adoption of cutting-edge technologies including generative AI, LLMs, and agentic AI frameworks, while promoting responsible AI practices, governance, and appropriate human review throughout the delivery lifecycle.\nCollaborate with business and technology teams to align technical outcomes with strategic goals, leveraging AI-enabled workflows where appropriate to accelerate insight and delivery.\nProvide thought leadership and best practices across the data science lifecycle, from exploration to deployment, including scalable MLOps, model governance, and responsible AI implementation.\nMentor and develop data professionals, fostering a culture of innovation, continuous learning.\nWhat We’re Looking For\nProven experience leading the delivery of data science or AI projects from concept to production.\nStrong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers).\nUnderstanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP).\nDeep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterprise environments.\nExcellent communication and stakeholder management skills with the ability to translate data insights into business value.\nBonus Points For\nMSc or PhD in a numerate discipline.\nExperience in Banking or Financial Services.\nExposure to GenAI, LLMs, and intelligent agent workflows.\nExperience with DevOps, CI/CD, and productionising ML systems.\nA passion for mentoring and developing early-career data talent,\nWhy Join Capco\nDeliver innovative, high-impact data solutions for Tier 1 financial institutions.\nWork in a collaborative, entrepreneurial consulting environment.\nAccess continuous learning, training, and industry certifications.\nJoin a growing global Data Practice of 800+ experts driving transformation.\nBe part of a culture where individuality, creativity, and collaboration are celebrated.\nBenefits\nCore Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.\nMental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.\nFamily-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.\nFamily Care: 8 complimentary backup care sessions for emergency childcare or elder care.\nHoliday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.\nContinuous Learning: Minimum 40 hours of training annually- choose workshops, certifications, or e-learning. Business Coach assigned from Day One for one-on-one guidance.\nHealthcare Access: Convenient online GP services.\n Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.\nInclusion at Capco\nWe’re committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, just let us know- we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. 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