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For Companies At a Glance
- 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 benefits with hybrid work options.
- Why this job: Shape the future of AI while making a real impact in a strategic role.
- Qualifications: Proven experience in Data Science leadership and strong technical skills.
- Other info: Opportunity to build and mentor a high-performing team in a dynamic environment.
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 City of London employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data & AI Scientist in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the Data Science and AI community. Attend meetups, webinars, or even just grab a coffee with someone in the field. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving ML and GenAI solutions. This is your chance to demonstrate your expertise and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Lead Data & AI Scientist in City of 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
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills listed in the job description, especially Python, SQL, and cloud platforms like Azure or AWS. Brush up on modern machine learning frameworks such as scikit-learn and TensorFlow, as you might be asked to discuss your hands-on experience with these tools.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've successfully built and mentored teams in the past. Highlight specific instances where your leadership made a measurable impact on project outcomes or team performance.
✨Prepare for Strategic Discussions
This position is all about shaping the direction of Data Science and AI within the organisation. Think about high-impact use cases you’ve identified in previous roles and be ready to discuss how you prioritised them and collaborated with stakeholders to drive business value.
✨Emphasise Continuous Improvement
Demonstrate your commitment to innovation and continuous improvement in AI and analytics. Be ready to talk about any initiatives you’ve led that focused on embedding modern MLOps practices or improving existing processes, as this will resonate well with the interviewers.