Consumer and Retail Data Science Lead

London, United Kingdom

Applications have closed

causaLens

causaLens uses Causal AI to develop decision-making AI that organizations trust with their complex enterprise Initiatives.

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Summary

causaLens are the pioneers of Causal AI — a giant leap in machine intelligence.

We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our No-Code Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare.

As we continue to expand our business, we are looking for a motivated and high-achieving Data Science Lead to join the team on our vision to create value through causality analytics for every consumer and retail organization in the world. This is a full-time role with significant opportunities for personal development. We offer an intellectually stimulating environment, working within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our world.

You will be driving new innovation into multiple functions for the world’s leading consumer, luxury, retailer and commerce companies. Your work will push the boundaries of what is possible in marketing, supply chain, operations, and more with Causal AI and you’ll develop novel human-machine interfaces at the bleeding edge of what is possible. This can be a career defining role for the right individual.

We are committed to diversity and are committed to ensuring that everyone feels at home and can contribute as a peer within the business.


Roles and Responsibilities

This is an exciting role for a smart, creative person with a strong technical background and expertise in AI/Data science in consumer and/or retail businesses. You’ll be hands on developing and leading our thought leadership in this space.

Your work will include:

  • Lead a growing team of Data Scientists

  • Working on new innovations and client projects using Causal AI

  • Be seen as a leader of the consumer and retail squad to our customers, handling new and existing relationships with clients from a broad range of functional areas

  • Leading the implementation of research prototypes that go into the product. This includes working with our world class Causal AI researchers to develop novel approaches and algorithms that can work at enterprise scale.

  • Leading and coordinating the execution of Proof of Concept projects and Pilots

  • Supporting the development of the consumer and retail product roadmap and transforming customer feedback into feature ideas.

Requirements

  • Experienced senior data scientist with deep and broad experience delivering high value AI/Data science solutions and use cases focused on consumer businesses

  • Experience and desire to lead a team of exceptional data scientists whilst remaining very hands on developing.

  • Experience delivering multiple related data science initiatives from the multiple functional areas. You have the battle scars, you know what works and what doesn’t but have an experimental mindset to test new approaches.

  • Experience with product roadmaps, driving new innovations and ideas that deliver step change capabilities for our customers.

  • Excellent communication skills - written and verbal - to both quant and business users

  • Client engagement skills: you enjoy working closely with customers and maintain excellent working relationships.

  • Analytical mind and strong quantitative skills

  • A passion for client success and delivering value to consumer and retail businesses as well as a belief in the transformative power of AI

  • You may have experience on agency side or client side in a senior data science role


The Company

Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications and many others.

We are committed to addressing the diversity problem in the tech industry, and that starts with making sure we have a team where everyone feels at home and can contribute as a peer.


causaLens in the News

  • causaLens raises $45m Series A to scale Causal AI - Tech Crunch

  • Best Deeptech Company 2019 - Artificial Intelligence Awards

  • ‘Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies’ – Yahoo Finance

  • ‘The U.K.’s Most Exciting AI Startups Race To Scale’ - Forbes

  • AllianzGI Taps Virtual Data Scientists amid War for Talent’ - Financial Times

  • ‘Machine Learning Companies to watch in Europe’ - Forbes

  • 'causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board’ - Newswire

  • Best Investment in Deeptech’ award - UK Business Angels Association Awards

  • ‘100 Most Disruptive UK Companies’ - Hotwire


Benefits
We may be biased but we believe you’ll be in good company. Aside from joining a smart and inspiring team, you’ll be amongst people who are always there to support your ideas and encourage you to grow. We celebrate our differences and come together to share our triumphs! This truly is an exciting opportunity to join a fast-growing and agile team, passionate about innovation and making a difference.

We care about our people’s lives both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, pension scheme, paid holiday and a good work-life balance, we offer the following:

  • Share Option Scheme

  • Hybrid working - a combination of remote and from the office as required, along with all the tech you need to get the job done (MacBook Pro etc.)

  • Work abroad 2 weeks per annum

  • Cycle to work scheme

  • Regular team socials inc. ‘Achievements & Global Cuisine Thursdays’ and annual company retreat

  • Office snacks and drinks to stay refreshed


Logistics

Our interview process consists of a few screening interviews and a "Day 0" which is spent with the team (either in the office or virtually, whatever you feel comfortable with). We will always be as transparent as possible so please don’t hesitate to reach out if you have any questions

Tags: Agile Banking Finance Machine intelligence Machine Learning Research

Perks/benefits: Career development Gear Team events

Region: Europe
Country: United Kingdom
Job stats:  3  0  0

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