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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, expertise in Python, SQL, and predictive modelling required.
- Other info: Collaborate with diverse teams and stay ahead of AI/ML trends in the industry.
The predicted salary is between 48000 - 64000 £ per year.
Hybrid - London (3 days a week)
Up to £80,000
We are working with a household fashion brand. They are on the lookout for a Principal Data Scientist to join its growing Data & Analytics team. With a presence across a thriving eCommerce platform, mobile app, and 300+ retail stores, this is your chance to join an exciting team.
As Principal Data Scientist, you’ll lead the data science function, supporting customer understanding, marketing effectiveness, and personalisation. From optimising campaign performance to driving loyalty and segmentation strategies, you’ll help put data at the heart of every customer interaction.
The Role:
- Lead, mentor, and grow a team of Data Scientists and Analysts focused on customer and marketing use cases.
- Build and deploy models that support personalisation, customer segmentation, lifetime value prediction, churn prevention, and marketing attribution.
- Partner closely with CRM, Digital Marketing, and eCommerce teams to deliver data-driven improvements across the customer journey.
- Leverage advanced analytics to understand customer behaviour and optimise marketing spend and engagement.
- Ensure data quality and scalable infrastructure for marketing and customer data.
- Drive innovation by staying ahead of AI/ML trends in retail and customer analytics.
Requirements:
- 5+ years' experience in Data Science, with a strong focus on customer or marketing analytics.
- Proven experience in building predictive models for segmentation, churn, LTV, personalisation, or attribution.
- Strong technical skills in Python and SQL, with experience deploying production-grade ML solutions.
- Confidence working with cross-functional stakeholders across marketing, CRM, eCommerce, and digital product.
- A collaborative mindset and a passion for using data to enhance the customer experience.
If this role looks of interest, please apply directly, or reach out to Joseph Gregory.
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Network with professionals in the fashion and eCommerce sectors. Attend industry events or webinars where you can meet people who work at companies similar to the one you're applying to. This can help you gain insights into their data practices and potentially get a referral.
✨Tip Number 2
Showcase your leadership skills by discussing any experience you have in mentoring or managing teams. Prepare examples of how you've successfully led projects or initiatives, especially those that involved cross-functional collaboration.
✨Tip Number 3
Stay updated on the latest trends in AI and machine learning, particularly as they relate to retail and customer analytics. Being able to discuss recent advancements or case studies during interviews can demonstrate your passion and knowledge in the field.
✨Tip Number 4
Prepare to discuss specific predictive models you've built in the past. Be ready to explain the methodologies you used, the challenges you faced, and the impact your models had on customer engagement or marketing effectiveness.
We think you need these skills to ace Lead 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: When detailing your previous roles, focus on quantifiable achievements. For example, describe how your work improved campaign performance or customer engagement, and include metrics where possible to illustrate your impact.
Prepare for Technical Questions: Be ready to discuss your technical skills in Python and SQL during the interview process. Prepare examples of production-grade ML solutions you've deployed and be prepared to explain your thought process and methodologies.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
As a Lead Data Scientist, you'll need to demonstrate your proficiency in Python and SQL. Be prepared to discuss specific projects where you've built predictive models and deployed ML solutions. Highlight any challenges you faced and how you overcame them.
✨Emphasise Leadership Experience
Since the role involves leading and mentoring a team, share examples of your leadership style and experiences. Discuss how you've successfully guided teams in the past, focusing on collaboration and growth within data science functions.
✨Understand the Business Context
Familiarise yourself with the fashion brand's eCommerce platform and marketing strategies. Be ready to discuss how your data-driven insights can enhance customer interactions and improve marketing effectiveness, showing that you understand their business goals.
✨Stay Ahead of Trends
The role requires staying updated on AI/ML trends in retail and customer analytics. Prepare to discuss recent advancements in the field and how they could be applied to the company's data strategy, demonstrating your passion for innovation.
