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SoTalent

Senior Data Science Manager

London
Posted about 13 hours ago
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Senior Manager, Data Science (AI / Machine Learning)

Industry

Information & Analytics / AI for Research & Science

Work setting

Hybrid (London-based, flexible working)

Role summary

Define and lead AI / data science strategy across ML, NLP, search, and generative AI

  • Lead end-to-end development of production AI systems (experimentation → deployment)
  • Oversee development of LLM, RAG, search, recommendation, and NLP-based systems
  • Establish frameworks for model evaluation, performance, and responsible AI
  • Translate business and product goals into data science roadmaps and solutions
  • Partner with product, engineering, and business leaders to drive strategy
  • Lead, coach, and grow high-performing data science teams
  • Ensure scalable, production-ready ML systems across large datasets

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Requirements

  • Strong background in data science / ML / AI (incl. NLP, deep learning, experimentation)
  • Experience building and deploying production AI/ML systems at scale
  • Proven leadership of technical teams in complex product environments
  • Strong experience with large datasets and applied statistical modelling
  • Experience with modern AI systems (e.g. LLMs, embeddings, RAG, search systems)
  • Strong stakeholder management and ability to translate ambiguity into strategy

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Work style

  • Hybrid working model with flexible hours
  • Cross-functional global teams (product, engineering, research)
  • High-impact AI environment focused on science and research innovation
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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

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Skills

Machine Learning
Natural Language Processing
Generative AI
Large Language Models
Retrieval-Augmented Generation
Search Systems
Recommendation Systems
Deep Learning
Statistical Modelling
Technical Leadership
Stakeholder Management
Model Evaluation
Responsible AI
AI Strategy
Production AI Deployment

Location

London, England, United Kingdom

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