Senior Data Scientist – Complex Problems, Big Data & Scale

The Mission:
Our platform is redefining life sciences automation. It already saves lives — and now we’re scaling globally. Data is central to this mission: from analytics that drive smarter decisions to algorithms that power automation and optimisation.

The Role:
As a Senior Data Scientist, you’ll:

• Work end-to-end across analytics + data science — from exploration and insights to modeling and productionisation.
• Solve complex, high-volume data challenges: time-series, cubes, streaming, IoT/edge data, graph/vector data.
• Partner with product, platform, and engineering teams to translate data into product features and business impact.
• Build and maintain scalable data workflows (batch, real-time, streaming).
• Drive the creation of data catalogues, metadata standards, and taxonomies to improve data quality and speed.
• Act as a thought leader and mentor within the data function — inspiring others to move fast, stay disciplined, and avoid bureaucracy.
• Influence strategy by bringing clarity, structure, and data-driven storytelling to leadership and product discussions.
• Balance tactical delivery (dashboards, insights, models) with long-term platform and data strategy.

What You Bring:

• Hands-on data science + analysis expertise (Python, SQL, Pandas, Spark).
• Experience with data warehouses + lakes (Snowflake, Databricks, or similar).
• Comfort working with large-scale datasets: time-series, cubes, complex high-volume data.
• Proven ability to deliver in scale-ups or high-growth environments.
• Experience turning analysis/models into production-ready, containerised solutions.
• Strong communication and storytelling with data — able to influence execs, engineers, and product leaders alike.
• Structured, disciplined, and anti-bureaucratic — you know how to keep pace without chaos.

Nice to Have Skills:

• Experience with IoT or edge device data at scale.
• Knowledge of metadata management, catalogues, and taxonomy.
• Exposure to graph and vector data.
• Familiarity with ML/GenAI frameworks and their role in automation.
• Familiarity with data orchestration tools (Airflow, DBT, Kafka, Flink).
• Experience with BI and analytics tools (Looker, Tableau, Mode, Metabase).

Why Join Us?

• Tackle some of the hardest data problems in automation and life sciences.
• Work on a global-scale product where your insights and models will directly improve science and save lives.
• Join a senior, multidisciplinary team where data is central to product success.
• Hybrid working: 3 days in our London office, balanced with flexibility.
• Competitive package, plus the opportunity to do career-defining, meaningful work.

UK Team Benefits:

• Vitality Health Insurance
• Private healthcare that incentives a healthy lifestyle
• Eye Care – Get your eyes tested once a year on us!
• Salary Sacrifice - EV
• Salary Sacrifice - Bike & Tech
• Wellbeing & Support
• Wellbeing & Development Allowance
• Spill & Employee Assistance Programme
• Additional Leave
• Pension Scheme
• Group Life & Critical Illness cover
• Life insurance
• Birthday - Time off for your birthday

We are an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Discrimination of any kind based on race, colour, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status is strictly prohibited.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: Software Development