{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Senior Data Scientist”, “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
- 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
- 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.
Company: Revoco
Location: London
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
- 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
- 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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Posted: May 15th, 2026