Data Scientist

🔒 Confidential Employer
Posted 28 April 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£120,000 / year
CATEGORY
Data Science
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python SQL NumPy Pandas Scikit-learn Keras Google Cloud Platform Looker

FULL DESCRIPTION

Data Scientist

[Employer hidden — view at passion-project.co.uk]

London

Salary: £40k-£120k

Work Type: Hybrid

Job Type: Full-time

Experience Level: Mid-Senior level

About the role

The role encompasses the full data science stack, from project scoping to deployment and performance monitoring

The Data Science team drives the use of data, machine learning & AI to enhance internal decision-making and creates hyper-personalised customer experiences

Team members tackle diverse business challenges and explore various modelling paradigms. This dynamic environment provides ample opportunities for on-the-job development

The role focuses on optimising marketing spend, content, personalisation, and AI, positioning the right candidate as a key driver of our ambitious goals

Sourcing and processing data using domain-specific/agnostic techniques

Analysing data to support ad-hoc business decisions

Running proof-of-concepts to test feasibility and value

Building and deploying production-ready machine learning models

Monitoring model performance for long-term accuracy

Being at the forefront of integrating LLMs across the business, driving innovation and efficiency

Managing stakeholders to balance ambitious goals with achievable outcomes

Developing, presenting, and discussing insights with the wider business

Collaborating with other data scientists, analysts, and engineers

Who you are

  • Bachelor's or Master's degree in Computer Science, Data Science, or related field
  • 3-5 years of experience in data science roles
  • Creative problem-solving and solution scoping
  • Strong grasp of mathematical, statistical concepts, and machine learning algorithms
  • Proficiency in Python and data science libraries (NumPy, Pandas, Scikit-learn, Keras)
  • SQL proficiency
  • Experience with cloud environments (e.g., Google Cloud Platform)
  • Version control management
  • Ability to work efficiently without compromising quality
  • Effective communication and data storytelling skills
  • Collaborative mindset and passion for sharing knowledge

Desirable

  • Experience in e-commerce, retail, or related sectors
  • Experience in marketing science
  • Experience with our BI platform Looker
  • Anything to demonstrate your past work (e.g. a GitHub profile)

Company Benefits

  • Generous staff discount
  • Generous product gifting
  • 25 days holiday plus bank holidays
  • Hybrid, flexible working
  • Dog friendly office on Monday and Fridays
  • Access to Tilbury Treats - discounts on everything from gym memberships to cinema tickets
  • Other fabulous benefits such as life assurance, birthdays off work and pension contribution

Salary Benchmarks

Data Scientist

Senior

Mid

£40k

£50k

£60k

£70k

£80k

£90k

£100k

£110k

£120k

About [Employer hidden]

[Employer hidden] has carved a niche in the cosmetics industry with its commitment to quality, buoyed by celebrity endorsements and a fondness for innovation. Founder Charlotte's strong personal brand has propelled the company's rapid ascent, while its embrace of cutting-edge technologies like augmented and virtual reality has unlocked avenues unexplored by traditional cosmetic brands.

The acquisition of [Employer hidden] by the fashion and beauty conglomerate, Puig, in 2020 marked a significant turning point, catalysing global expansion efforts and venturing into an emerging digital landscape like the Metaverse. Leveraging AI-based marketing solutions, the company has witnessed a remarkable 60% increase in conversion rates for its acquisition campaigns, highlighting its adeptness at staying ahead in the dynamic beauty market.

[Employer hidden] was acquired by Fashion and beauty conglomerate, Puig, in 2020. Since then, the company has been driving global growth and expanding into new digital frontiers (i.e. the Metaverse). Its use of AI-based marketing solutions has resulted in a 60% conversion rate increase in its acquisition campaigns. [Employer hidden] is well set to see consistent market growth.

Application Instructions

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