Senior Data Scientist - Product Data in London

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.

Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.

Role Purpose

We're looking for a Senior Data Scientist (L5) to join our Product Data team collaborating with our Product Analysts to build deep understanding of how users engage with our AI-native products through conversation and interaction data. You will work at scale with unstructured text data - prompts, model outputs, user edits, feedback - to discover patterns that explain user behaviour and directly shape what we build next.

The focus is on semantic analysis of conversations: understanding intent, identifying failure modes, detecting successful interaction patterns, and translating these insights into specific product improvements. This is hands-on analytical work, not infrastructure-focused. We need someone who can analyse messy conversation data, discover non-obvious patterns, and connect those findings to product decisions that move the needle on adoption, retention, and cost efficiency.

For exceptional candidates with track records of leading analytics in AI-driven environments, we are open to hiring at Principal level, where you would set the broader data science agenda and mentor the existing analytics team.

What You'll Do

• Build product evaluation frameworks
• Define how we measure "good" for AI-native features beyond traditional funnels.
• Build semantic frameworks to categorise user intent, model behaviour, and interaction patterns.
• Design feedback loops that connect prompts, model outputs, user behaviour, and downstream outcomes.
• Define, track, and own the metrics that leadership and product teams depend on for a shared, trustworthy view of what is working and what is not.
• Analyse user–AI interactions at scale
• Identify failure patterns, unnecessary iteration loops, and the characteristics of successful interactions.
• Build models that answer the questions dashboards cannot.
• Shape the product roadmap
• Turn findings into specific, prioritised recommendations that feed directly into the product roadmap.
• Partner with Product and Engineering to evaluate iterations quickly and close the loop between insight and action.
• Run experiments end-to-end: design, instrument, analyse, and translate results into clear product decisions.
• Drive growth and financial metrics
• Link AI feature usage to activation, retention, expansion, and cost efficiency.
• Help answer questions like: Which interactions create durable value?
• Build infrastructure and raise the bar
• Build pipelines, dashboards, and self-serve analytical tools that make insight accessible and trustworthy across the organisation.
• Mentor a team of product analysts, raising the technical bar and introducing new methods where they add real value.

What We're Looking For

Experience

• Significant experience (ideally 5+ years) in Data Science, Product Analytics, or a similar role with conversation, chat, or dialogue data at scale.
• Experience working closely with Product and Engineering teams.
• Hands-on experience working with AI/ML-driven products.

Skillset

• Strong applied modelling skills: regression, classification, clustering, survival analysis, or similar.
• Deep expertise in experimentation design and statistical inference.
• Fluency in SQL and Python.
• Ability to design pragmatic evaluation metrics where ground truth is fuzzy.
• Familiarity with modern data stack tools: dbt, Snowflake, Hex, Omni, Looker, or similar.
• Clear communicator who can influence without authority.

Nice to Have

• Experience with product analytics platforms.
• Experience working with NLP, text analytics, or unstructured data at scale.
• Experience building semantic search, relevance scoring, or interaction-based evaluation systems.
• Track record of influencing product strategy at a senior level.
• Experience mentoring or technically leading other analysts or data scientists.

Our culture

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions.

Benefits

• You will be compensated well with a generous salary and equity.
• Flexible, remote-friendly role for team members working in UK/Europe.
• You get 25 days of annual leave + local holidays.
• Regular team offsites where you’ll get to collaborate with the product & engineering team in person.
• Work from home budget.
• "Work from anywhere" up to 60 days per year.
• Generous referral scheme of up to $10,000 USD for each successful referral.