Senior Data Scientist in London

Meet DeepL. DeepL is a global communications platform powered by Language AI. Since 2017, we have been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. Our goal is to become the global leader in Language AI, building products that drive better communication, foster connections, and make a real-life impact.

What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. This may be because of our products that have helped countless people worldwide or our shared mission to improve communication for individuals and businesses, bringing cultures closer together. Being part of DeepL means joining a team dedicated to innovation and employee well-being.

DeepL has millions of passionate users around the globe, both consumer and enterprise. These users generate a vast amount of data that DeepL teams utilise to constantly improve the customer experience, the product, and internal collaboration and process. Our Data teams, both the central Data Track and embedded Data Community teams, are agents of learning and change - extracting, enriching, and utilising data to make better decisions.

The Marketing Science team is the engine behind our data-driven growth strategy. In the B2B space, our customer journeys are long, complex, and involve multiple stakeholders. Our mission is to provide the analytical clarity needed to optimise our marketing spend and sales alignment - ensuring we are acquiring the right accounts and high-quality leads at the right cost.

We are hiring a Senior Data Scientist to bridge the gap between Marketing, Sales, and Data. While this role focuses on our B2B and sales-assisted journey, we value candidates who understand the nuances of high-growth customer acquisition in any complex environment, be it B2B or B2C. You will be responsible for modeling how diverse marketing touchpoints influence everything from initial awareness to pipeline generation and, ultimately, closed revenue.

You will lead the development of our measurement framework, moving beyond simple lead counts to sophisticated causal inference, attribution, and ROI models that reflect the reality of a B2B sales cycle.

Your responsibilities:

• Marketing Partnership & Enablement: Drive an evidence-based culture by translating complex causal models into actionable playbooks and self-service dashboards, aligning diverse stakeholders and priorities to ensure trust in measurement and clarity in strategic decision-making.
• Marketing Data Architecture: Take ownership of the end-to-end data lifecycle by writing production-grade dbt models and building a scalable data architecture for the marketing domain. This includes integrating fragmented data from CRM systems (e.g., Salesforce), web analytics, and marketing platforms, while applying rigorous data quality tests and maintaining the integrity of our data pipelines.
• Causal Measurement Strategy: Design and execute causal inference methods involving A/B, incrementality, and holdout tests to isolate the true incremental impact of marketing spend.
• Predictive Modelling & LTV: Build models to predict lead quality, Customer Lifetime Value (LTV), and revenue potential, helping the business distinguish between high-volume traffic and high-value conversion paths.
• Scenario Planning: Develop forecasting tools and Marketing Mix Models (MMM) to inform long-range strategic planning and optimise our channel mix for both B2C and B2B revenue.
• Complex Journey Attribution: Develop and maintain attribution models (MTA, DDA).