At a Glance
- Tasks: Lead complex data science projects and mentor a talented team.
- Company: Dynamic firm transforming retail with innovative AI solutions.
- Benefits: Unlimited leave, private healthcare, flexible working, and coaching support.
- Other info: Diverse and inclusive environment with excellent growth opportunities.
- Why this job: Shape the future of data science while making a real impact.
- Qualifications: Expertise in machine learning and strong leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
About the team
Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.
About the role
As a Lead Data Scientist, you'll take on a pivotal, entrepreneurial role, functioning as the technical expert who thrives on complexity and commercial impact. You will be responsible for setting the technical direction and ensuring the high-quality, scalable delivery of our most challenging, high-impact projects. This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. Your focus will be on driving innovation, mentoring cross‑functional teams, and actively shaping both our technical standards and long‑term customer relationships.
What you'll be doing:
- Setting the technical direction for complex, business-critical projects and expertly balancing trade‑offs between speed, innovation, and reliability.
- Designing and implementing reliable, production‑grade technical solutions, ensuring comprehensive documentation of architectures and specifications.
- Defining project problems, developing clear roadmaps, and overseeing end‑to‑end delivery across multi‑disciplinary workstreams.
- Leading technical scoping and feasibility studies for high‑value sales opportunities and strategic customer engagements.
- Managing relationships and communications with demanding clients, fostering trust and aligning technical solutions with shared long‑term commercial goals.
- Driving the adoption of best practices, shared resources, and robust technical processes across the wider Data Science craft.
- Mentoring and developing other data scientists and team members, actively contributing to the growth and technical excellence of the organisation.
Who we're looking for:
- You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape.
- You are a skilled technical leader, proficient in mentoring individuals, managing teams (including other managers), and rolling out impactful tools and workflows.
- You have proven project management expertise, capable of dividing complex, ill‑defined problems into actionable, clearly defined workstreams with timelines you can defend.
- You are adept at managing ill‑defined, high‑risk tasks, consistently delivering innovative and practical outcomes under commercial pressure.
- You possess strong customer leadership skills, able to act as a trusted technical advisor and drive long‑term strategic relationships with demanding clients.
- You excel at cross‑functional collaboration, effectively aligning technical strategy with Engineering, Commercial (BD), and Infrastructure teams.
- You have experience extending technical oversight to business unit‑level initiatives, using your vision to influence and contribute to organisational success.
Our Interview Process
- Talent Team Screen (30 minutes)
- Introduction to the team (30 minutes)
- Take Home Technical Assessment
- Technical Interview (90 minutes)
- Commercial Interview (60 minutes)
Our Recruitment Ethos
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
Lead Data Scientist in London employer: AI Chopping Block, Inc.
As a Lead Data Scientist at our innovative firm, you'll join a dynamic team dedicated to transforming the retail and consumer landscape through cutting-edge technology. We offer an exceptional work culture that prioritises employee growth, with unlimited annual leave, private healthcare, and family-friendly flexibility, ensuring you can thrive both personally and professionally. Our commitment to diversity and inclusion fosters a collaborative environment where your expertise will drive impactful projects and shape the future of our organisation.
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 your connections in the data science field, attend industry meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Lead Data Scientist role.
✨Tip Number 2
Prepare for those interviews! Brush up on your machine learning knowledge and be ready to discuss your past projects in detail. We recommend practising common technical questions and scenarios you might face, so you can showcase your expertise and problem-solving skills.
✨Tip Number 3
Showcase your leadership skills! As a Lead Data Scientist, you’ll need to demonstrate your ability to mentor and manage teams. We suggest sharing examples of how you've successfully led projects or guided others in your previous roles during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search and genuinely interested in joining our team.
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 in machine learning and project management, and show how you can drive innovation and mentor teams. We want to see how your skills align with our needs!
Showcase Your Technical Expertise:Don’t hold back on detailing your technical skills! Whether it’s machine learning or data science methodologies, let us know what you excel at. We’re looking for someone who can set the technical direction, so make sure we see that expertise shine through.
Communicate Clearly:When writing your application, clarity is key. Use straightforward language to explain your past projects and achievements. We appreciate a well-structured application that makes it easy for us to understand your impact and contributions.
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 you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at AI Chopping Block, Inc.
✨Know Your Machine Learning Stuff
As a Lead Data Scientist, you need to showcase your depth of expertise in machine learning. Brush up on the latest trends and be ready to discuss specific projects where you've applied these techniques. Be prepared to explain complex concepts in simple terms, as you'll likely need to communicate with non-technical stakeholders.
✨Master the Art of Project Management
Since you'll be defining project problems and developing clear roadmaps, it's crucial to demonstrate your project management skills. Prepare examples of how you've broken down complex tasks into manageable workstreams and how you've handled tight deadlines. This will show that you can deliver under pressure.
✨Show Off Your Mentoring Skills
You'll be expected to mentor other data scientists, so think of instances where you've guided team members or led cross-functional teams. Highlight your approach to fostering growth and technical excellence within your team. This will illustrate your leadership capabilities and commitment to developing others.
✨Build Relationships with Clients
Strong customer leadership skills are key for this role. Prepare to discuss how you've managed relationships with demanding clients in the past. Share examples of how you've aligned technical solutions with their long-term goals, showcasing your ability to act as a trusted advisor.
