Data Scientist

Revoco Ltd
Charing Cross, United Kingdom
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 90K

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Data Systems
Statistical Hypothesis Testing
Python
Machine Learning
SQL Databases
Feature Engineering
PyTorch
Large Language Models
Model Validation
Data Strategy
Scikit Learn
Information Technology
Power Analysis (Cryptography)
XGBoost

Job description

I'm looking for a Senior Data Scientist to lead advanced modelling projects and help shape our clients data strategy. You'll work closely with Product and Engineering to build high-impact, scalable data solutions, combining statistical modelling, machine learning, and cutting-edge AI/LLM techniques. What You'll Do

  • Translate business problems into clear modelling approaches.
  • Lead end-to-end design and prototyping of ML/DL/LLM models.
  • Conduct hypothesis testing, causal analysis, EDA, and feature engineering.
  • Build and validate models using modern ML frameworks (e.g., PyTorch, LightGBM, Scikit-Learn).
  • Define reproducible modelling standards, drift detection, and quality controls.
  • Work with Engineering to productionise prototypes and ensure scalability.
  • Guide Build vs. Buy decisions and advise on latency/cost/accuracy trade-offs.
  • Stay up to date with the latest advancements in ML, LLMs, and agentic AI. What You Bring

Requirements

  • Degree in Statistics, Computer Science, or related field (2:1+).

  • 5+ years' experience in data science with strong analytical decision-making.

  • Advanced SQL + strong Python skills in ML/AI libraries.

  • Hands-on experience with LLMs, embeddings, vector stores, and modern AI techniques.

  • Proven track record delivering ML/LLM/CV/NLP solutions that drive business value.

  • Strong understanding of core ML theory, statistical inference, and model validation.

  • Experience working with cloud platforms (GCP or AWS).

  • Excellent communication and project management skills. Nice to Have

  • MS/PhD in a quantitative discipline.

  • Experience building agentic systems or multimodal models.

  • Knowledge of sampling design, power analysis, or non-parametric testing.

  • Publications or patents.

  • Background in marketing/media analytics.

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