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- Tasks: Lead data science projects and mentor a talented team in various industries.
- Company: Innovative firm partnering with top global brands to transform customer experiences.
- Benefits: Competitive salary, equity, private health, and hybrid work options.
- Why this job: Shape the future of AI and data science while making a real impact.
- Qualifications: Expertise in machine learning, data science tools, and project leadership.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 72000 - 96000 £ per year.
Our client partners with some of the world’s most recognisable brands to deliver innovative, data-driven solutions that transform customer experience, strategy, and performance. From global enterprises to digital-first disruptors, they help businesses harness the power of advanced analytics, machine learning, and AI to stay competitive in a rapidly changing market.
If you’re looking for an opportunity to shape the future of applied AI across exciting industry sectors, this is your chance.
ROLES: Lead Data Scientist (Project Lead, Mentoring, Technical Lead)
We are seeking Lead Data Scientists to take pivotal roles across a variety of industries. These are senior technical and leadership positions — perfect for people who want to influence the direction of AI and data science solutions across real-world business problems.
You will set the technical vision, oversee project teams, and serve as a trusted advisor to senior stakeholders — defining approaches to complex data challenges, guiding enterprise-scale AI applications, and mentoring a team of talented data scientists.
What You’ll Bring:
- Deep expertise in machine learning and statistical modelling
- Skilled with core data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow)
- Proven track record delivering impactful AI/ML projects (e.g. forecasting, recommendation systems, or optimisation)
- Experienced project lead with strong technical decision-making and architecture ownership
- Excellent communicator — able to translate complex technical insights into real business value
- Passionate mentor/manager who enjoys developing and growing data science talent
Apply now and become a key player driving data science innovation in retail, financial services OR SaaS.
Lead Data Scientist employer: Loop Recruitment
Contact Detail:
Loop Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those that align with the sectors you're targeting. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in these roles. We want to see how you can translate data insights into business value!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with machine learning, data science libraries, 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 AI and data science, and how you can contribute to our mission. Be sure to mention specific experiences that showcase your leadership and technical skills.
Showcase Your Projects: If you've worked on impactful AI/ML projects, don’t hold back! Include links or descriptions of your work in your application. We love seeing real-world applications of your skills, especially if they relate to forecasting or recommendation systems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at StudySmarter!
How to prepare for a job interview at Loop Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the core data science tools mentioned in the job description, like NumPy, Pandas, and Scikit-Learn. Brush up on your deep learning frameworks too, such as PyTorch and TensorFlow. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar with them, but that you can actually apply them in real-world scenarios.
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you’ll be expected to mentor and guide teams. Prepare examples of how you’ve led projects or mentored others in the past. Think about specific challenges you faced and how you overcame them, as well as the impact your leadership had on the project’s success.
✨Communicate Complex Ideas Simply
You’ll need to translate complex technical insights into business value, so practice explaining your past projects in layman’s terms. Use clear, concise language and focus on the outcomes of your work. This will demonstrate your ability to connect with stakeholders who may not have a technical background.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data challenges or to outline your approach to a specific problem. Think through potential scenarios related to forecasting, recommendation systems, or optimisation. Practising your thought process out loud can help you articulate your strategies during the interview.
