Senior Data Scientist

Навыки

• AI-инструменты в работе
• AWS
• Azure
• Резервное копирование
• CI/CD
• Google Cloud
• HBase / Hive

О компании и продукте

• We are looking for a Senior Data Scientist to join Capco’s growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes while mentoring others and collaborating in a dynamic, multi-disciplinary environment. You'll also embrace AI-enabled ways of working, using approved AI tools where appropriate to enhance delivery while applying sound professional judgement.
• Shape intelligent solutions. Lead with insight. Drive data innovation.

Задачи

• Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments
• Develop and prototype ML models to solve complex business challenges using modern techniques and tooling
• Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables, using approved AI tools where appropriate to improve efficiency and accelerate insight
• Guide and coach data science pods, supporting skill development and solution design
• Act as a subject matter expert on ML architecture, model calibration, and productionisation, promoting responsible AI practices and scalable model governance where applicable

Требования

• Hands-on experience building and deploying data science solutions in Python and related ML libraries
• Strong background in applied machine learning, model development, and data engineering, with an appreciation of responsible AI principles
• Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, and Redshift
• Demonstrated ability to lead cross-functional teams and mentor junior practitioners
• Ability to communicate complex technical concepts clearly to non-technical audiences and apply AI-enabled approaches to deliver practical business value

Будет плюсом

• Participation in Kaggle or other data science competitions
• Experience with MLOps practices (CI/CD, model monitoring, DevOps integration)
• Familiarity with advanced NLP frameworks such as spaCy or Transformers and exposure to AI technologies including Generative AI or LLMs
• MSc or PhD in a numerate discipline
• Financial services or banking experience
• Why Join Capco
• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy

Условия

• Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover
• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders
• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement
• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care
• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs
• Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick – workshops, certifications, e-learning – your growth, your way
• Business Coach assigned from Day One to help accelerate your development
• Healthcare Access: Convenient online GP services
• Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance
• Inclusion at Capco
• We’re committed to making our recruitment process accessible and straightforward for everyone
• If you need any adjustments at any stage, just let us know – we’ll be happy to help
• We value each person’s unique perspective and contribution
• At Capco, we believe that being yourself is your greatest strength
• Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day
• Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent

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