Senior Data Scientist

Capco is hiring a Senior Data Scientist in London, United Kingdom. Level rates it ; you can apply on Capco.

Level's read on this job

On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include MLOps, NLP and AI safety.
Level classifies it as a senior role.
Level lists 702 other open roles at Capco.

AI in this role

ml-opsnlpai-safety

Senior Data Scientist

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent

Shape intelligent solutions. Lead with insight. Drive data innovation.

The Role

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.

What You’ll Do

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.

What We’re Looking For

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.

Bonus Points For

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.

Benefits

Core Benefits: 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.

#LI-DNI

How we rate this

Senior Data Scientist at Capco rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Scientist is an open job at Capco.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in UK - London.
The job was posted on January 20, 2026.
Seniority: senior.
Applications are handled by Capco. Apply on Capco

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsNLPAI Safety

Also common in data scientist jobs at this level

SQL Deep learning PyTorch scikit-learn RAG TensorFlow

Pay

Typical data scientist job: $167k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
What NLP problem have you worked on, and how did you measure whether it actually worked?
How do you think about the risk of an AI system in this kind of role failing silently?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: ML Ops, NLP, and AI Safety. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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