Senior Data Scientist - Product Data

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 - e.g.

What types of prompts succeed vs. fail?

What causes users to retry?

What signals indicate satisfaction? - 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 - Work with large conversation datasets to deeply analyse how users interact with AI features (prompts edits retries acceptance abandonment). - Identify failure patterns unnecessary iteration loops and the characteristics of successful interactions. - Build models that answer the questions dashboards cannot: what predicts a good user outcome what drives failure and where the highest-leverage improvements are.

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?

Where are we over-spending compute for low user impact?

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.

You have actually analysed large volumes of user text (prompts messages feedback reviews) to discover patterns that shaped product decisions. - Experience working closely with Product and Engineering teams. - Hands-on experience working with AI/ML-driven products (LLMs ranking generation recommendations).

You have worked on these systems not just alongside them.

SKILLSET - Strong applied modelling skills: regression classification clustering survival analysis or similar.

You pick the method that fits the question not the other way around. - Deep expertise in experimentation design and statistical inference.

You can design a valid experiment choose the right test and explain the results to a non-technical audience. - Fluency in SQL and Python.

Comfortable working with large messy high-dimensional interaction data and building reproducible analysis pipelines. - 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 (e.g.

Amplitude Mixpanel or similar). - Experience working with NLP text analytics or unstructured data at scale. - Experience building semantic search relevance scoring or interaction-based evaluation systems. - Familiarity with prompt analytics embedding-based analysis or clustering user behaviour. - Track record of influencing product strategy at a senior level not just delivering analyses. - 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.

Our work principles serve as our charter for how we make decisions give feedback and structure our work to empower everyone to go as fast as possible.

You can find out more about these principles here. https://www.notion.so/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2?pvs=21 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