Data Scientist, Hybrid - London (ID: fvgo1ObH)

Place of Work: Hybrid
Salary: £ 65,000 - £ 79,000 (Per Annum)
Date Posted: 14-Mar-2025
Expiry Date: 10-Sep-2025
Job Details:
Location: Richmond, Greater London, United Kingdom
Job Category: Data Scientist
Career Level: Experienced Professional
Contractual Type: Full Time/Permanent
Working Hours: Monday to Friday (Hybrid - Flexitime)
Qualifications: Bachelor’s or Master’s degree in Data science
Experience: 3+ years in Data Science or Data Engineering
Positions Available: 1
Skills Required
  • AWS
  • Data Science/Machine Learning
  • Expert in Python
Benefits
  • Company Pension
  • Flexitime
  • Gym Membership
  • Private Medical Insurance
  • Work from Home
Job Description

We are seeking an experienced Data Scientist to join our growing team. As a Data Scientist, you will collaborate closely with clients to understand their business challenges, develop and implement data-driven solutions, and deliver actionable insights that drive business value. [EJ3] There is also the opportunity to support our clients with artificial intelligence adoption, helping them transform their operations through innovative technologies.

Data Scientist Responsibilities:

  • Provide expert advisory services to clients on advanced analytics and data engineering best practices, ensuring delivery of scalable and efficient solutions
  • Development and delivery of production-ready ML models
  • Provide insights and data products to support client decision-making
  • Visualise and communicate findings and recommendations to non-technical stakeholders in an easy-to-understand manner.
  • Be the AI champion within Loop, helping the whole team embed AI for our clients where it can add the most value

Skills and Qualifications:

  • · Extensive experience in delivering Data Science projects to improve marketing/sales performance and customer experience. For example, marketing attribution modelling and next best action.
  • Expert in machine learning techniques (e.g., clustering, classification, regression)
  • Ability to write production standard code in Python/SQL with a strong grasp of coding principles
  • Strong familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing technologies (e.g., Databricks, BigQuery, Redshift)
  • Ideally familiar with digital behavioural data e.g. GA4
  • Ability to articulate technical findings in business terms and demonstrate value to stakeholders.
  • Experience with data visualisation tools like Tableau, Power BI, or similar.
  • Comfortable using Git for versioning and collaboration

Our Commitment to You:

  • Competitive salary
  • 25 days holiday, plus an additional 3 days leave between Christmas and New Year
  • Pension scheme and life assurance
  • Private Healthcare for you (and your spouse/children at extra cost)
  • Flexible benefits scheme including electric car leasing scheme, cycle to work, gym discounts, discounted vouchers
  • Shares in the company after one year’s service
  • Hybrid working - we believe in a balance between spending time face-to-face with colleagues and our clients, as well as enabling working from home
  • Excellent opportunities to grow and develop
  • · Vibrant, friendly, dynamic team with a calendar of regular social activities and team events

Benefits:

  • Company pension
  • Cycle to work scheme
  • Private medical insurance
  • Work from home

Schedule:

  • Flexitime
  • Monday to Friday

Position: Data Scientist  -  Salary: £65,000 to £79,000 

Job Type: Full-time, Permanent  -  Work Location: Hybrid remote, Richmond TW9, London

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