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- Tasks: Lead a team of Data Scientists to enhance customer understanding and marketing effectiveness.
- Company: Join a renowned fashion brand with a strong eCommerce presence and over 300 retail stores.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of data innovation in retail, making a real impact on customer experiences.
- Qualifications: 5+ years in Data Science, strong skills in Python and SQL, and experience in marketing analytics.
- Other info: Collaborate with cross-functional teams and stay ahead of AI/ML trends in the industry.
The predicted salary is between 48000 - 64000 £ per year.
Job Description
Lead/Principal Data Scientist
London – 3 days a week
Up to £135,000
About the Company
We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance.
They’re now hiring a Lead/Principal Data Scientist to lead machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes.
This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy.
Key Responsibilities
- Translate complex business problems into measurable data science solutions that deliver commercial value
- Lead the design, development, and deployment of predictive and optimisation models across multiple industries
- Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment
- Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions
- Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices
- Communicate findings and strategic insights to both technical and non-technical stakeholders
Requirements:
You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy.
- Proven experience applying data science in commercial settings
- Proven ability to lead data science projects from concept to production
- Deep understanding of statistical modelling, predictive analytics, and optimisation techniques
- Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders
- Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university
- Excellent communication skills and a collaborative mindset
Please note: This role cannot offer VISA sponsorship
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to retail and customer analytics. This knowledge will not only help you stand out during discussions but also demonstrate your commitment to innovation in the field.
✨Tip Number 2
Network with professionals in the data science and marketing sectors. Attend industry events or webinars where you can meet potential colleagues or mentors who can provide insights into the company culture and expectations for the role.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully built and deployed predictive models. Be ready to explain your thought process, the challenges you faced, and how your work impacted customer engagement or marketing effectiveness.
✨Tip Number 4
Showcase your collaborative skills by highlighting experiences where you've worked with cross-functional teams. Emphasise your ability to communicate complex data insights to non-technical stakeholders, which is crucial for this role.
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Data Science, particularly in customer and marketing analytics. Emphasise your skills in Python and SQL, and any specific projects that demonstrate your ability to build predictive models.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision making and how you can contribute to the company's goals. Mention your experience leading teams and collaborating with cross-functional stakeholders, as this is crucial for the role.
Showcase Your Achievements: Include specific examples of past projects where you've successfully implemented data science solutions that improved customer engagement or marketing effectiveness. Quantify your achievements to make them more impactful.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail, which is essential for a Principal Data Scientist.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
As a Principal Data Scientist, you'll need to demonstrate your expertise in Python and SQL. Be prepared to discuss specific projects where you've built predictive models and how you deployed them in production. Highlight any challenges you faced and how you overcame them.
✨Emphasise Leadership Experience
This role involves leading and mentoring a team of Data Scientists and Analysts. Share examples of how you've successfully led teams in the past, focusing on your approach to mentorship and how you've fostered collaboration within your team.
✨Understand the Business Context
Familiarise yourself with the fashion brand's eCommerce platform and retail operations. Be ready to discuss how data science can enhance customer understanding and marketing effectiveness specifically for their business model. This shows your genuine interest in the company.
✨Prepare for Cross-Functional Collaboration
Since you'll be partnering with various teams like CRM, Digital Marketing, and eCommerce, think of examples where you've successfully collaborated with cross-functional stakeholders. Discuss how you communicated complex data insights to non-technical teams to drive data-driven decisions.
