Data Scientist - Applied Science

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Job description

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 Scientist - Applied Science based in London to join the team on our vision to optimise every business on the planet. This is a full-time placement with significant opportunities for personal development. We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our world.

The ideal candidate will have relevant academic or professional experience, but above all will be keen to learn the breadth of skills required to work in a small startup environment. 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 desire to apply his/her skills in a stimulating scientific environment.

Your work will include:

Prototyping applied research that goes into the product.
Helping clients from a wide variety of industries solve their problems with our platform.
Explaining the state-of-the-art technology and working on proof-of-concept projects with a rapid turnaround.
Shaping the future direction of the technology by suggesting and developing novel applications and new platform features.
Working with a broad range of clients to help them integrate our technology into their workflow over the long term, solving technical and data science issues.
Research and evaluation of novel use-cases for the causaLens technology.

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

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
'Best Investment in Deeptech' award - UK Business Angels Association awards
'100 Most Disruptive UK Companies' - Hotwire
'causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board' - Newswire

Benefits

As well as the opportunity to join a fast-growing, agile, international team that is passionate about innovation and making a difference, we have competitive remuneration and pension benefits plus:

Opportunities for continued learning and self-development, including courses,
conferences and book budget
Weekly journal club and knowledge sharing presentations
Active social calendar including regular team outings, pizza Thursdays and annual company retreats
Encouragement of a great work/life balance that includes flexible work-from-home and remote days
Cycle to work scheme
Fruits, snacks and soft drinks in the office
32 days paid holiday allowance (incl. bank holidays)
Equipment you need to get the job done (MacBook Pro etc.)
Amazing, smart, fun and inspiring colleagues, always there to support your ideas,
growth and enthusiasm!

Logistics

Our interview process consists of an online coding challenge, 3 Technical interviews and a "Day 0" which is spent with the team. Normally the Day 0 takes place on-site but for the time being, they will take place online.

We will do our best to transparently communicate the process with successful candidates.

This role is open for candidates of all seniorities, junior to senior.
Strong academic record (MEng, MSci, EngD or PhD).
Ability to discover the business potential of novel technologies
Advanced quantitative skills in machine learning/statistics/mathematics or similar fields
Ability to apply complex technologies in novel high-value use-cases
An excellent written and verbal communicator with a high level of business acumen
Highly capable, self-motivated, collaborative and personable
High integrity and drive
Naturally curious and effective problem solver
Ability to effectively work independently in a fast-moving environment
Strong coding skills (we use Python)