Hiring: Senior Data Scientist - Product Data

Hiring: Senior Data Scientist - Product Data

Full-Time 75600 - 92400 £ / year (est.) Home office (partial)
Synthesia

At a Glance

  • Tasks: Analyse user interactions with AI products to drive impactful product improvements.
  • Company: Join Synthesia, a leading AI video platform valued at $4 billion.
  • Benefits: Generous salary, equity, flexible remote work, and 25 days annual leave.
  • Other info: Collaborative culture focused on building and innovation.
  • Why this job: Shape the future of AI-driven products and make a real difference.
  • Qualifications: 5+ years in Data Science with hands-on AI/ML experience.

The predicted salary is between 75600 - 92400 £ per year.

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.

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.

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.
  • 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.
  • 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

  • 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.
  • 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.
  • 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.
  • 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. 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.

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.

Hiring: Senior Data Scientist - Product Data employer: Synthesia

At Synthesia, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on cutting-edge AI technologies, making every day at Synthesia both meaningful and rewarding.

Synthesia

Contact Details:

Synthesia Recruitment Team

We think you need these skills to ace Hiring: Senior Data Scientist - Product Data

Data Science
Product Analytics
Conversation Data Analysis
AI/ML Experience
Applied Modelling Skills
Experimentation Design
Statistical Inference