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For Companies At a Glance
- Tasks: Lead machine learning projects and collaborate with engineering teams to drive commercial value.
- Company: Join a globally established marketing consultancy with a strong focus on innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: This role offers hands-on experience in cutting-edge technologies like GenAI and NLP.
- Qualifications: Strong data science knowledge and experience in various analytical areas are essential.
- Other info: Open to candidates at Senior, Principal, or Lead levels; no sponsorship available.
The predicted salary is between 60000 - 96000 £ per year.
Job Description
Senior / Principal / Lead Data Scientist
London – Hybrid (3 days a week)
£70,000 to £120,000 + benefits
Please note: This role covers candidates benchmarked separately at either the Senior, Principal or Lead level. Feel free to apply if you fall between these three levels.
This is a great opportunity to join a globally established marketing consultancy – in an 80% hands-on, 20% technical leadership/management role (Principal and Lead ONLY).
THE ROLE
In this position you will:
- Drive machine learning projects across recommenders, segmentation, forecasting and optimising marketing spend
- Work on advanced projects across GenAI and NLP
- Work closely with an Engineering team, whilst remaining full stack in your projects
- Report into Head of Data Science
- Drive commercial value closely with senior stakeholders
- Have a chance to upskill and mentor/manage, within a strong team of 8
Skills And Experience
- Strong Data Science/Statistical fundamental knowledge is required
- Experience across some of recommenders, forecasting, pricing, churn, marketing etc. – this is a role for a generalist!
- Exposure to some of GenAI, NLP, Computer Vision is a bonus
- MSc in a STEM subject (Maths, Physics, Data Science, Computer Science, Engineering etc.)
- Strong communication skills, and commercially driven
- Experience leading projects and ideally small teams
This role cannot sponsor.
Please contact Chris at if you are interested in applying!
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Senior/Principal/Lead Data Scientist employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior/Principal/Lead Data Scientist
✨Tip Number 1
Make sure to showcase your hands-on experience with machine learning projects in your discussions. Highlight specific examples where you've driven projects related to recommenders, segmentation, or forecasting, as these are key areas for this role.
✨Tip Number 2
Since this position involves working closely with an Engineering team, be prepared to discuss how you’ve collaborated with technical teams in the past. Emphasize your full-stack capabilities and any relevant projects that demonstrate your ability to bridge the gap between data science and engineering.
✨Tip Number 3
Familiarize yourself with the latest trends in GenAI and NLP, as these are mentioned as beneficial skills. Being able to discuss recent advancements or projects you've worked on in these areas can set you apart from other candidates.
✨Tip Number 4
Prepare to talk about your leadership experience, especially if you're applying for the Principal or Lead level. Think of examples where you've mentored others or led small teams, and be ready to explain how you drive commercial value through data science initiatives.
We think you need these skills to ace Senior/Principal/Lead Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and skills required for the Senior/Principal/Lead Data Scientist position. Tailor your application to highlight your relevant experience in machine learning, GenAI, and NLP.
Highlight Your Experience: In your CV and cover letter, emphasize your hands-on experience with data science projects, particularly in areas like recommenders, forecasting, and marketing optimization. Use specific examples to demonstrate your impact and results.
Showcase Leadership Skills: If you're applying for the Principal or Lead level, make sure to showcase any leadership or mentoring experience you have. Discuss how you've led projects or teams and the outcomes of those initiatives.
Craft a Compelling Cover Letter: Write a personalized cover letter that connects your background to the company's goals. Mention your passion for data science and how you can drive commercial value while collaborating with senior stakeholders.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning projects, especially in areas like recommenders and forecasting. Highlight specific examples where you've driven commercial value through data science.
✨Demonstrate Leadership Experience
If you're applying for the Principal or Lead level, emphasize your experience in leading projects and managing teams. Share instances where you've mentored others or taken charge of a project to showcase your leadership capabilities.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex data science concepts in simple terms, as you will need to interact with senior stakeholders who may not have a technical background.
✨Stay Updated on Industry Trends
Familiarize yourself with the latest advancements in GenAI, NLP, and other relevant technologies. Being knowledgeable about current trends will demonstrate your passion for the field and your commitment to continuous learning.
