Lead Data Scientist at Referrals Only

✨ The Stack take on this Referrals Only job

• 🏢 Referrals Only has 11 jobs here, 11 with visa sponsorship see all
• 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
• 💡 No salary shown. Ask Referrals Only if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

Apply with your AI assistant

With The Stack connected to Claude, ChatGPT or Cursor, paste this. Your assistant tailors your CV and cover letter, checks the visa facts and gives you the apply link.

Help me apply to this job on The Stack: https://jobs.trythestack.co/jobs/lead-data-scientist-referrals-only

Not connected yet? Connect in a minute. To help your user apply, call the MCP tool prepare_application with slug "lead-data-scientist-referrals-only": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.

About the role

Responsibilities:
- Own and evolve the data strategy to improve customer experience and business outcomes.
- Lead experimentation practices: design A/B tests, set success metrics, and ensure rigorous analysis for product decisions.
- Collaborate with product, engineering, design, and research to turn data insights into prioritized product iterations.
- Set standards for data quality, tooling, and knowledge sharing across teams; mentor and grow data talent.
- Provide clear, actionable recommendations and measure impact of initiatives.

Requirements:
- Proven experience leading data science efforts and shaping data strategy in product-driven organisations.
- Strong experimentation and statistical analysis skills, with experience defining metrics and interpreting results.
- Ability to work effectively with cross-functional teams and influence product and commercial decisions.
- Track record mentoring data scientists and analytics engineers and improving data practices.
- Comfortable with analytics tooling and self-serve platforms (e.g., Looker) and advocating best practices for data quality.

Responsibilities

Lead the data strategy to simplify money management for customers and develop best practices for experimentation. Collaborate with product, engineering, and design leaders to iterate on product ideas and foster knowledge sharing across the organization.

Requirements

Candidates should have experience working with cross-functional teams and the ability to think strategically about commercial products. Proficiency in mentoring other data scientists and a passion for using new data techniques to solve complex problems are required.

Key skills

• Data Strategy — in 10 other listings on The Stack
• Experimentation — in 50 other listings on The Stack
• Mentoring — in 176 other listings on The Stack
• Strategic Thinking — in 15 other listings on The Stack
• Product Iteration — not in any other listing on The Stack
• Data Analysis — in 278 other listings on The Stack
• Cross-functional Collaboration — in 113 other listings on The Stack
• Measuring Success — not in any other listing on The Stack

On The Stack (as of 2026-11-05)

• Referrals Only has 10 other listings on The Stack, 10 of them marked as offering visa sponsorship.
• 214 visa-sponsored jobs in the United Kingdom on The Stack, posted in the last 60 days.
• 68 visa-sponsored data scientist jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Referrals Only

Is this Lead Data Scientist role still open?

It was posted on 2026-06-25. Listings more than 30 days old may no longer be active, so check Referrals Only's site before applying.

Does Referrals Only offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Referrals Only's site.

Where is this role located?

The listing gives the location as United Kingdom. It is marked remote.

What skills does this role ask for?

The listing names: Data Strategy, Experimentation, Mentoring, Strategic Thinking, Product Iteration, Data Analysis, Cross-functional Collaboration, Measuring Success.