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- Tasks: Lead a small data science team and manage exciting projects like dynamic pricing and recommender systems.
- Company: Join Harnham, a dynamic online retailer with a growing data science team across the UK, US, and Europe.
- Benefits: Enjoy a competitive salary of £120,000 plus benefits, including opportunities for professional growth.
- Why this job: Be part of innovative projects that impact customer experience and drive business success in a collaborative culture.
- Qualifications: MSc or Ph.D. in a STEM field, expertise in Python, and experience leading data science teams required.
- Other info: This role offers hands-on experience with cutting-edge machine learning techniques in a supportive environment.
The predicted salary is between 100800 - 120000 £ per year.
Harnham is partnering with an online retailer/marketplace that is looking to add a Manager to their Data Science & AI team in London. They have 1000 staff across offices in the UK, US and Europe, with the data team being small (circa 4-5 people). Working closely with the data director, you will join to manage a small (but growing) team, remaining hands-on you will help bring a more sophisticated approach to data science and machine learning across the business.
Key projects the team are working on currently:
- Dynamic pricing algorithms for the website
- Recommender systems
- NLP and classification
- Customer and marketing behaviour (LTV and segmentation)
A big focus for the next few months will be to make their current product pricing algorithms better!
YOUR SKILLS AND EXPERIENCE
You must have:
- An MSc or Ph.D. in a STEM topic with a machine learning focus
- Experience of working with large volumes of data (preferably online data)
- Expert knowledge of Python
- Working knowledge of GCP (other cloud tools fine)
- Knowledge of pricing is required for this role
- Excellent stakeholder management skills
- Experience in leading teams of data scientists who are responsible for deploying machine learning into production.
THE BENEFITS
£110,000 - £120,000 + Benefits
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page. For details on similar roles please contact Nick Mandella at Harnham.
Data Science Manager employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Familiarise yourself with the latest trends in dynamic pricing algorithms and recommender systems. Being able to discuss recent advancements or case studies during your interview will show your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the data science community, especially those who have experience in online retail. Engaging in conversations about their challenges and successes can provide you with valuable insights that you can bring up in your discussions with us.
✨Tip Number 3
Prepare to demonstrate your hands-on experience with Python and GCP. Be ready to discuss specific projects where you've successfully deployed machine learning models, as this will highlight your practical skills and leadership capabilities.
✨Tip Number 4
Brush up on your stakeholder management skills. Think of examples where you've effectively communicated complex data science concepts to non-technical stakeholders, as this is crucial for a managerial role in our team.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your MSc or Ph.D. in a STEM topic with a machine learning focus. Emphasise your experience with large volumes of data and your expert knowledge of Python, as these are crucial for the role.
Showcase Relevant Experience: Include specific examples of your experience in leading teams of data scientists and deploying machine learning into production. Mention any projects related to dynamic pricing algorithms or recommender systems to align with the company's current focus.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your interest in the Data Science Manager position but also demonstrates your understanding of the company's goals. Highlight your stakeholder management skills and how you can contribute to improving their product pricing algorithms.
Proofread and Submit: Before submitting your application, proofread all documents for clarity and accuracy. Ensure that your CV and cover letter are free from errors and clearly articulate your qualifications. Then, submit your application via the Apply link on our website.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python and machine learning in detail. Highlight specific projects where you've worked with large datasets, especially in an online context, as this will demonstrate your capability to handle the technical demands of the role.
✨Demonstrate Leadership Skills
Since this role involves managing a small team, be ready to share examples of how you've successfully led data science teams in the past. Discuss your approach to mentoring and developing team members, as well as how you ensure effective collaboration.
✨Understand the Business Context
Familiarise yourself with the company's current projects, particularly around dynamic pricing algorithms and recommender systems. Showing that you understand how data science can drive business outcomes will set you apart from other candidates.
✨Prepare for Stakeholder Management Questions
Expect questions about your experience in managing stakeholders. Be ready to provide examples of how you've communicated complex data science concepts to non-technical audiences and how you've aligned data projects with business goals.
