At a Glance
- Tasks: Guide customers in building scalable experimentation programs and solve complex challenges.
- Company: Join Amplitude, the leading AI analytics platform trusted by top brands.
- Benefits: Competitive salary, remote work options, and a focus on professional growth.
- Other info: Collaborative environment with opportunities for travel and industry engagement.
- Why this job: Make a real impact by helping companies enhance their products through data-driven experimentation.
- Qualifications: 5+ years in Data Science or related fields with strong statistical skills.
The predicted salary is between 60000 - 80000 £ per year.
Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences.
With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever.
Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best‑in‑class solution for product, data, and marketing teams.
As an organization, we deliver for our customers by living our values.
We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.
Amplitude’s Commitment to Diversity Equity & Inclusion (DEI)
Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions.
We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive.
Amplitude is on a mission to help companies build better products through data.
Following our acquisition of Statsig, we now offer one of the most comprehensive experimentation and product analytics platforms on the market.
As a Customer Data Scientist, you will combine deep experimentation expertise, applied statistics, and customer‑facing technical consulting to help some of the world's most sophisticated product and engineering organisations evaluate, adopt, and scale modern experimentation programs.
This is a highly strategic and technical role that partners closely with Sales, Solutions Engineering, Product, and Engineering teams.
You will serve as the trusted expert on experimentation methodology, statistical rigor, and experimentation infrastructure, helping customers solve complex challenges while influencing the future direction of the Amplitude and Statsig platforms.
Responsibilities
- Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept.
- Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture.
- Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development, variance reduction, and results interpretation.
- Collaborate closely with Account Executives, Solutions Engineers, Product Managers, and Engineers to accelerate customer success and bring valuable field insights back into product development.
- Create repeatable frameworks, technical content, and enablement materials that strengthen experimentation expertise across customers and internal teams.
What you bring
- You have built, scaled, or supported experimentation programs within a product‑led technology company and understand both the technical and organizational challenges involved.
- You have experience working with experimentation platforms such as Statsig, Eppo, Optimizely, Launch Darkly, or similar technologies.
- You are comfortable engaging with highly technical audiences and can effectively communicate complex statistical concepts to data scientists, engineers, executives, and business stakeholders.
- You enjoy translating technical depth into practical business outcomes and helping organizations make better product decisions through experimentation.
- You have experience influencing product strategy, technical roadmaps, or best practices based on customer needs and market feedback.
- Minimum Qualifications
- 5+ years of experience in Data Science, Experimentation, Analytics, Applied Statistics, or a related field with a strong foundation in experimental design and causal inference.
- Hands‑on experience designing, running, and analyzing A/B tests and applying advanced experimentation methodologies, including variance reduction, holdouts, sequential testing, or related techniques.
- Strong proficiency in SQL and Python and experience working with cloud data warehouses such as Snowflake, Big Query, or Redshift.
- Experience using Python or R for statistical analysis, experimentation, and data modelling.
- Experience working directly with customers, stakeholders, or cross‑functional partners to solve complex technical challenges and communicate sophisticated concepts effectively.
- You are willing and able to travel approximately 10‑25% of the time to meet with customers, support strategic engagements, and participate in team and industry events.
- #J-18808-Ljbffr
Customer Data Scientist in London employer: Triwill Group
Vercel is an exceptional employer that prioritises a culture of innovation and collaboration, making it an ideal place for leaders in the tech industry. With a competitive compensation package, flexible time off, and ample opportunities for mentorship and professional growth, employees are empowered to excel in their roles while contributing to the cutting-edge development of web technologies. Located in London, Vercel offers a dynamic work environment that fosters creativity and supports a diverse workforce, ensuring that every team member can thrive and make a meaningful impact.
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We think you need these skills to ace Customer Data Scientist in London
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