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- Tasks: Lead innovative data science projects and solve real-world business challenges with AI.
- Company: Join Valtech, a leader in experience innovation with a values-driven culture.
- Benefits: Enjoy growth opportunities, international careers, and a chance to shape the future of experience.
- Other info: Dynamic environment with a focus on continuous learning and professional development.
- Why this job: Make a meaningful impact while exploring cutting-edge AI and ML technologies.
- Qualifications: 5+ years in Data Science, strong Python and SQL skills, and familiarity with Generative AI.
The predicted salary is between 80000 - 100000 ÂŁ 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.
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)
At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Lead Data Scientist employer: Valtech
Contact Detail:
Valtech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. We all know that sometimes it’s not just what you know, but who you know that can help land that dream job.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving data science and AI. We recommend sharing your work on platforms like GitHub to give potential employers a taste of your skills.
✨Ace the Interview
Prepare for your interviews by practising common data science questions and scenarios. We suggest doing mock interviews with friends or using online platforms. Remember, it’s all about showcasing your problem-solving mindset and how you can bridge the gap between tech and business needs.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Valtech.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Data Scientist role. Highlight your experience in data science, machine learning, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about innovation in AI and ML, and how your problem-solving mindset fits with our values at Valtech. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects: If you've worked on interesting data science projects, don’t hold back! Include links to your GitHub or any relevant portfolios. This gives us a glimpse into your hands-on experience and how you tackle real-world challenges.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team at Valtech!
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. Think about how you can communicate insights to non-technical stakeholders effectively. Practising this will help you demonstrate your ability to connect technical work with business needs.
✨Show Your Curiosity
Valtech values innovation, so come prepared with examples of how you've challenged the status quo in your previous roles. Share any experiences where you've explored new approaches or tools in AI and ML, showing your passion for continuous learning.
✨Engage with Real-World Problems
Be ready to discuss specific projects where you've tackled real-world data problems. Highlight your experience with MLOps and cloud solutions, and think about how you can contribute to deploying models in production environments, as this is crucial for the role.