Data Science Product Manager

Salary: £69,000 - 106,000 per year

Requirements:

• We are looking for an experienced Product Manager.
• We need someone who is commercially minded and comfortable dealing with problems at a huge level of scale in the field of data science implementation.
• We are looking for someone known for execution abilities.
• You will be comfortable working autonomously on projects and have great attention to detail.
• Ideally, you will have a good sense for design or fashion.
• You will be growth minded and understand the speed of decision making required in a rapidly scaling business.
• You will be commercially and technically minded, able to understand concepts and explain limitations between marketers and engineers.
• You will need to understand modern marketing technology.
• You will think analytically about user behaviour.
• You will be able to conceptualise ideas that allow us to become best in breed in using deep learning models.
• You will have a passion for taking on many projects at once, balancing swift release processes with attention to detail.

Responsibilities:

• We will need you to work with our Data Science team.
• You will take their research and work with our commercial teams to deliver products people love.
• You will help expand our search and recommendations offerings.
• You will guide engineering teams.
• You will work with stakeholders across our commercial and marketing arms to ensure we build products our users need.
• You will help guide the delivery of products at scale.
• You will work to translate technical concepts between marketers and engineers.

Technologies:

• Marketing
• Product Manager
• Swift
• microservices
• HTTP
• Python

More:

We are Lyst, a technology platform that is revolutionising the way people shop for fashion. We connect millions of consumers globally with the worlds leading fashion designers and stores, giving them a simpler, more engaging and more effective shopping experience. We have grown over 300% every year since launch in 2011 and have raised over $60M from top-tier investors including Accel, DFJ, Balderton and teams behind LVMH, Michael Kors and Oscar de la Renta. Our Data Science team leads the field in image recognition, search and recommendations, and our machine-learning services power some of our most used microservices, including the ability to search 40 million images in under 100ms. We are a 50+ engineer and data science team, and we offer a dynamic, diverse and highly collaborative workplace with internal engineering meetups, paid conference attendance, a clothing allowance, internal training opportunities, desk beer Fridays, a well-stocked kitchen and fridge, and wellbeing activities such as yoga, football, netball, board games and burger eating clubs.

last updated 36 week of 2026