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- Tasks: Lead advanced modelling projects and shape data strategies for clients.
- Company: Join a forward-thinking company at the forefront of AI and data science.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by developing scalable data solutions using cutting-edge technologies.
- Qualifications: Degree in Statistics or Computer Science with 5+ years in data science.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
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.
Senior Data Scientist in London employer: Revoco
Contact Detail:
Revoco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving ML, LLMs, and AI techniques. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how you've tackled complex data challenges. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it streamlines the process and gets your application in front of the right people faster.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with ML frameworks and any projects that showcase your skills in statistical modelling and AI techniques. We want to see how you can translate business problems into data-driven solutions!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our needs. Don’t forget to mention specific projects where you've led modelling efforts or worked closely with engineering teams.
Showcase Your Projects: If you've got a portfolio of projects, make sure to include it! We love seeing real-world applications of your skills, especially those involving LLMs or modern AI techniques. This is your opportunity to demonstrate your hands-on experience and creativity.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Revoco
✨Know Your Models Inside Out
Make sure you can discuss your experience with various ML/DL/LLM models in detail. Be prepared to explain how you've translated business problems into modelling approaches and the impact of your solutions. This shows you not only understand the theory but also how to apply it practically.
✨Showcase Your Technical Skills
Brush up on your advanced SQL and Python skills, especially with libraries like PyTorch and Scikit-Learn. Be ready to discuss specific projects where you’ve built and validated models, and don’t shy away from talking about the challenges you faced and how you overcame them.
✨Communicate Clearly
Since you'll be working closely with Product and Engineering teams, practice explaining complex data concepts in simple terms. Use examples from your past experiences to illustrate your points. Good communication can set you apart from other candidates.
✨Stay Current with Trends
Familiarise yourself with the latest advancements in ML, LLMs, and AI techniques. Being able to discuss recent developments or trends in the field will demonstrate your passion and commitment to staying at the forefront of data science.