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- Tasks: Lead the design and delivery of cutting-edge AI and ML solutions.
- Company: Join a leading organisation investing in Data Science and AI.
- Benefits: Competitive salary, bonuses, and hybrid work options.
- Why this job: Shape the future of AI while mentoring a high-performing team.
- Qualifications: Proven experience in Data Science leadership and strong technical skills.
- Other info: Dynamic role with opportunities for innovation and career growth.
The predicted salary is between 86000 - 129000 £ per year.
Hybrid: 1-2 days per week in the office (London)
Permanent
£100k-£150k DOE + Bonus + Benefits
Experis are delighted to be partnering with a leading and well-respected organisation as they continue to invest heavily in Data Science, Artificial Intelligence and Generative AI. We are supporting them in the search for an experienced Lead Data Scientist to shape, scale and lead their enterprise-wide AI capability.
This is a high-impact, strategic role with responsibility for defining the direction of Data Science and AI across the organisation. You will lead the delivery of production-grade ML and GenAI solutions, build a high-performing specialist team, and partner closely with senior stakeholders to drive measurable business value.
What You'll Be Doing:
- Leading the design, development and productionisation of Machine Learning, AI and GenAI solutions across the business.
- Defining technical standards, best practices and governance for Data Science and MLOps.
- Identifying and prioritising high-impact use cases in partnership with Wealth, Enablement and Technology teams.
- Building, mentoring and developing a high-performing Data Science team.
- Embedding modern MLOps practices including CI/CD, model monitoring, feature stores and version control.
- Working closely with Data Engineering, Architecture and Operations teams to ensure scalable, secure deployment.
- Acting as a senior technical authority and thought leader in advanced analytics and AI.
- Championing innovation, experimentation and continuous improvement in AI and analytics delivery.
Experience Required:
- Proven experience in Head of or lead-level Data Science, AI or Machine Learning roles within enterprise environments.
- Strong Python and SQL skills, with experience developing production-grade analytical solutions.
- Hands-on experience with cloud platforms (Azure, AWS and/or Snowflake).
- Expertise in modern machine learning frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow).
- Demonstrable experience delivering end-to-end ML and GenAI solutions (including RAG, LLMs, embeddings and vector databases).
- Strong knowledge of MLOps tooling and practices (MLflow, CI/CD, containerisation, monitoring).
- Experience leading, mentoring and developing technical teams.
If you'd like to learn more, please contact Jacob Ferdinand.
Lead Data & AI Scientist in London employer: Experis - ManpowerGroup
Contact Detail:
Experis - ManpowerGroup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data & AI Scientist in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to Data Science and AI. You never know who might have a lead on your dream job or can introduce you to someone influential.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in Data Science and AI. Use platforms like GitHub to share your code and demonstrate your expertise. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to Data Science and AI. Be ready to discuss your past experiences and how they align with the role. Remember, confidence is key, so show them why you're the best fit!
✨Apply Through Our Website
Don't forget to check out our website for the latest job openings! Applying directly through us not only streamlines the process but also shows your genuine interest in joining our team. Let's get you that Lead Data & AI Scientist role!
We think you need these skills to ace Lead Data & AI Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data & AI Scientist role. Highlight your experience with machine learning, AI, and any relevant projects you've led. We want to see how your skills align with what we're looking for!
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 AI, and how you can contribute to our team. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Since this role requires strong Python and SQL skills, make sure to showcase any relevant projects or achievements. We love seeing hands-on experience with cloud platforms and modern ML frameworks, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Experis - ManpowerGroup
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Python, SQL, and the machine learning frameworks mentioned in the job description. Be ready to discuss your hands-on experience with cloud platforms like Azure or AWS, as well as any production-grade solutions you've developed.
✨Showcase Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've built and mentored high-performing teams in the past. Highlight your experience in defining technical standards and best practices, as this will demonstrate your capability to lead effectively.
✨Understand the Business Impact
This position is all about driving measurable business value through AI and Data Science. Think of specific use cases where your work has had a significant impact on the business. Be ready to discuss how you prioritise high-impact projects and collaborate with stakeholders.
✨Embrace Innovation
The company is looking for someone who champions innovation and continuous improvement. Prepare to talk about any innovative projects you've led or participated in, especially those involving modern MLOps practices. Show your enthusiasm for experimentation and how it can lead to better AI solutions.
