At a Glance
- Tasks: Lead innovative data science projects and solve real-world business challenges with AI.
- Company: Join Valtech, a global leader in experience innovation and digital transformation.
- Benefits: Enjoy a values-driven culture, growth opportunities, and a diverse, inclusive workplace.
- Other info: Embrace a dynamic environment with endless learning and career growth opportunities.
- Why this job: Shape the future of AI and make a meaningful impact on industries.
- Qualifications: 5+ years in Data Science, strong ML skills, and a passion for innovation.
The predicted salary is between 70000 - 90000 £ per year.
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
- The work we do and innovation we drive
- Our Values of share, care and dare
- A workplace culture that fosters creativity, diversity and autonomy
- Our borderless, global framework, which enables seamless collaboration
The Role: As a Lead Data Scientist, you bring strong commercial experience applying data science to solve real-world business challenges. You are comfortable working across classical machine learning and emerging AI techniques, particularly in LLM/Agentic AI space. You can move between hands-on modelling, exploring new approaches (e.g. LLMs), and explaining insights clearly to non-technical stakeholders. With a pragmatic, problem-solving mindset, you help shape opportunities and deliver impactful solutions.
You will thrive in this role if you are:
- A curious problem solver who challenges the status quo
- Comfortable bridging the gap between technical data science and client business needs
- Passionate about innovation and exploring “what’s next” in AI and ML
- Experienced in working within Agile methodologies and consultancy environments
- Keen to take ownership while supporting and guiding others
Role Responsibilities:
- Work with structured and unstructured data to support model development and analysis
- Design and implement ML and AI solutions, including LLM-based and traditional approaches
- Apply techniques such as RAG, embeddings, and fine-tuning where appropriate
- Contribute to development and optimization of AI applications using established and emerging agentic patterns (e.g. tool use, orchestration, multi-step reasoning)
- Apply evaluation frameworks to assess model and system performance
- Contribute to deploying models and supporting them in production using engineering and MLOps best practices
- Stay up to date with emerging AI techniques and experiment with new approaches, tools, and frameworks
Problem Scoping & Client Engagement:
- Translate business questions into clear data science approaches
- Communicate results and insights to technical and non-technical stakeholders
- Contribute to identifying opportunities where data science and AI can add value
- Support project scoping and provide guidance to less experienced team members when needed
Must have Qualifications:
- 5+ years of experience in Data Science or Analytics
- Strong foundation in machine learning and predictive modelling
- Exposure to Generative AI concepts (e.g. LLMs, RAG, fine-tuning, prompt engineering)
- Strong programming skills in Python and SQL
- Familiarity with cloud-based solutions (e.g. GCP, Azure, AWS)
- Experience working with real-world, production data problems
- Ability to communicate technical concepts clearly to non-technical stakeholders
Nice to have Qualifications:
- Experience in consulting or client-facing environments
- Hands-on experience designing and deploying Generative AI solutions, including Agentic AI systems.
- Experience with MLOps practices and taking models into production environments
- Exposure to modern data engineering practices and integration with data pipelines
- Awareness of Responsible AI practices (bias, evaluation, safety)
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here.
Your application process Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps.
⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
Lead Data Scientist in London employer: Valtech
Valtech is an exceptional employer that champions a values-driven culture, fostering creativity, diversity, and autonomy among its employees. As a Lead Data Scientist, you will thrive in an environment designed for continuous learning and professional growth, with opportunities to work on innovative projects that shape the future of experience. With a commitment to inclusion and support for all team members, Valtech offers a unique chance to make a meaningful impact while collaborating with some of the world's most recognised brands.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and ML. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data science. Be ready to explain complex concepts in simple terms – it’s all about bridging that gap!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Lead Data Scientist in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Data Scientist role. Highlight your experience with machine learning, AI, and any relevant projects that showcase your problem-solving skills. We want to see how you can bring value to our team!
Showcase Your Communication Skills:Since you'll be bridging the gap between technical data science and client needs, it's crucial to demonstrate your ability to explain complex concepts clearly. Use examples in your application that show how you've successfully communicated insights to non-technical stakeholders.
Highlight Your Curiosity:We love a curious mind! In your application, share instances where you've challenged the status quo or explored new AI techniques. This will show us that you're not just about the basics but are eager to innovate and push boundaries.
Apply Through Our Website:Don't forget to submit your application through our official website. This ensures it gets to the right people quickly. Plus, it’s the best way to stay updated on your application status and any next steps!
How to prepare for a job interview at Valtech
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning and AI techniques, especially around LLMs and generative AI. Be ready to discuss how you've applied these in real-world scenarios, as this will show your practical experience and problem-solving skills.
✨Bridge the Gap
Prepare to explain complex data science concepts in simple terms. Valtech values clear communication with non-technical stakeholders, so practice how you would translate technical jargon into relatable insights that demonstrate the value of your work.
✨Show Your Curiosity
Valtech is all about innovation, so come prepared with examples of how you've challenged the status quo in your previous roles. Share your thoughts on emerging AI trends and how you see them shaping the future of data science.
✨Emphasise Teamwork and Leadership
As a Lead Data Scientist, you'll need to guide others while taking ownership of projects. Highlight your experience in Agile environments and how you've supported less experienced team members, showcasing your ability to foster collaboration and growth.