At a Glance
- 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.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by developing scalable data solutions using cutting-edge technologies.
- Qualifications: Degree in Statistics or Computer Science and 5+ years in data science.
The predicted salary is between 70000 - 90000 £ 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 employer: Revoco
Join a forward-thinking company that values innovation and collaboration, where as a Senior Data Scientist, you will have the opportunity to lead transformative projects in a dynamic environment. Our culture fosters continuous learning and professional growth, supported by a commitment to cutting-edge technology and methodologies. Located in a vibrant area, we offer competitive benefits and a flexible work-life balance, making us an exceptional employer for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨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. Attend meetups, webinars, or conferences to meet potential employers and showcase your skills.
✨Tip Number 2
Show off your projects! Create a portfolio that highlights your best work in ML, LLMs, and AI techniques. Use platforms like GitHub to share your code and demonstrate your problem-solving abilities. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science. Practice explaining complex concepts in simple terms, as communication is key in this role. We want to see how you can translate business problems into clear modelling approaches!
✨Tip Number 4
Don’t forget to follow up! After an interview, send a thank-you email to express your appreciation and reiterate your interest in the position. It shows professionalism and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Scientist role. Highlight your experience with ML frameworks, statistical modelling, and any relevant projects you've led. We want to see how you can translate business problems into data 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 any hands-on experience with LLMs or cloud platforms – we love that stuff!
Showcase Your Projects:If you've worked on any cool data projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we want to see your practical skills in action. It’s all about demonstrating your ability to deliver impactful data solutions!
Apply Through Our Website:We encourage you to apply directly 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 – just follow the prompts and let us see what you’ve got!
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 work to illustrate your points. Good communication can set you apart from other candidates.
✨Stay Current with Trends
Keep yourself updated on the latest advancements in ML, LLMs, and AI techniques. Mention any recent developments or tools you’re excited about during the interview. This demonstrates your passion for the field and your commitment to continuous learning.
