Join causaLens: Pioneers of Causal AI

causaLens is leading the charge in Causal AI, making a significant leap in machine intelligence. Our mission is to create truly intelligent machines that understand cause and effect. If you are passionate about building the future and value curiosity and ambition, then causaLens is the place for you. We are at the cutting edge of technological advancements and seek individuals whose skills and passion stand out.

About causaLens

Since our inception in 2017, causaLens has achieved remarkable milestones:

• Launched decisionOS, the first and only enterprise decision-making platform powered by Causal AI.
• Open sourced two internal tools to support the community: and .
• Raised $45 million in Series A funding.
• Recognized as a leading provider of Causal AI solutions by .
• Included in as one of the fastest-growing companies.

We are building the world's most advanced Causal AI-powered decision intelligence platform for Data Scientists. Our platform uses state-of-the-art Causal AI algorithms to help data scientists make impactful decisions. Trusted by leading organizations, our platform offers real value across various industries.

Our Mission

Our mission is to radically advance human decision-making by leveraging trustworthy AI to solve significant challenges in the economy, society, and healthcare. Learn more about our mission by watching the ‘Why Causal AI’ video on our .

The Role: Senior Applied Data Scientist - Causal AI

We are looking for a Senior Data Scientist to join our London team and spread our Causal AI technology globally. This full-time role offers excellent opportunities for personal and professional development. As a Senior Applied Data Scientist, you will develop causal-AI-driven models and applications to address high-impact challenges in industries like retail, marketing, supply chain, manufacturing, and finance.

Responsibilities

• Build causal models and decision applications using our proprietary frameworks on client data sets.
• Collaborate with business stakeholders to integrate domain knowledge into the modeling process.
• Craft long-term visions and plans for implementing causal models into clients' strategies.
• Work closely with product and research teams to shape platform development.

Requirements

• 2-5 years of commercial data science experience with time series or tabular use-cases, preferably using Python.
• Strong academic background in a quantitative field (MEng, MSci, EngD, or PhD).
• Excellent communication and teamwork skills.
• Experience in high-growth tech companies or technical consultancy is a plus.
• Experience in sales, pre-sales, or technical evangelism is a plus.
• Knowledge of industries like supply chain, retail, manufacturing, marketing, finance, or public sector is a plus.

Why Join causaLens?

causaLens is pioneering a new category of intelligent machines that understand cause and effect, overcoming the limitations of current machine learning approaches. Our enterprise platform goes beyond predictions, offering causal insights that directly enhance business outcomes in sectors like asset management, banking, insurance, logistics, retail, utilities, energy, and telecommunications.

We offer a hybrid working setup and are committed to building an inclusive culture. Our team celebrates diversity and supports each member's growth. Join us for a rewarding career in a supportive environment.

What We Offer

• Competitive salary and share options.
• 25 days of paid holiday, plus bank holidays.
• Pension scheme and access to mental health support through Spill.
• Happy hours, team outings, and referral bonus program.
• Cycle to work scheme and friendly tech purchases.
• Office snacks and drinks.

Application