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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 customer 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.
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.
Principal Data Scientist (City of London) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist (City of London)
✨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 interviews but also demonstrate your passion for 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 connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully built predictive models or improved customer engagement through data-driven strategies. Be ready to share your thought process and the impact of your work on previous teams or companies.
✨Tip Number 4
Showcase your collaborative skills by highlighting experiences where you've worked closely with cross-functional teams. Emphasising your ability to communicate effectively with stakeholders from different backgrounds will be crucial for this role.
We think you need these skills to ace Principal Data Scientist (City of London)
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 and how it can enhance customer experiences. Mention your leadership experience and how you’ve successfully mentored teams in the past, as this role involves leading a team of Data Scientists and Analysts.
Showcase Relevant Projects: Include specific examples of projects where you've built models for customer segmentation, churn prediction, or personalisation. This will help demonstrate your hands-on experience and technical skills, which are crucial for this position.
Highlight Collaboration Skills: Since the role requires working closely with cross-functional teams, make sure to mention any previous experiences where you collaborated with marketing, CRM, or eCommerce teams. This shows that you can effectively communicate and work with various stakeholders.
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 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 supported the growth of your team members and fostered a collaborative environment.
✨Understand the Business Context
Research the fashion brand and its eCommerce platform. Be ready to discuss how data science can enhance customer understanding and marketing effectiveness. Show that you can align data-driven strategies with business goals.
✨Prepare for Cross-Functional Collaboration
The role requires working closely with various teams like CRM and Digital Marketing. Prepare examples of how you've successfully collaborated with cross-functional stakeholders in the past, focusing on communication and shared objectives.
