Job Description

causaLens is the pioneer of Causal AI \xe2\x80\x94 a giant leap in machine intelligence.

We are on a mission to build truly intelligent machines \xe2\x80\x94 it\xe2\x80\x99s hard but super fun! If you want to build the future and are looking for a place that values your curiosity and ambition, then causaLens is the right place for you. Everything we do is at the forefront of technological advancements, and we are always on the lookout for people to join us whose skills and passion tower above the rest.

Since the company was established in 2017, causaLens has:
\xf0\x9f\xa5\xb3Launched decisionOS, the first and only enterprise decision making platform powered by Causal AI -

\xf0\x9f\xa6\x84Raised $45 million in Series A funding
\xf0\x9f\x8f\x86Been named a leading provider of Causal AI solutions by Gartner - \xf0\x9f\x9a\x80Included in Otta\xe2\x80\x99s 2022 Rocket List as one of the fastest-growing companies to launch your career

Our Mission

To radically advance human decision-making.

Our Vision

A world in which humans leverage trustworthy AI to solve the greatest challenges in the economy, society and healthcare.
Head to our and watch the \xe2\x80\x98Why Causal AI\xe2\x80\x99 video to learn more.

The Role

We are looking for a Pre-Sales Applied Data Scientist based in London to join us in spreading our Causal AI technology to every business on the planet. This is a full-time placement with significant opportunities for personal development. The Pre-Sales Applied Data Scientist will develop causal-AI-driven models and decision applications using our technology to illustrate how causal approaches can impact client business needs.

What you will do

The Pre-Sales Applied Data Scientist will work alongside our team of world class researchers, engineers, consultants, and executives to help us become one of the most recognized names in Tech. You will be required to work directly with our customers, illustrating how our technology can solve their most pressing business needs. Some of your responsibilities will include:

Using our causal AI framework to build causal models and decision applications, using our proprietary causal discovery, modeling, and decision intelligence architectures on client-supplied data sets and use cases.

Work directly with business stakeholders on the customer side to demonstrate how their domain knowledge fits into the modeling process and to show them how they could integrate insights into their decision workflows.

Together with client and causaLens stakeholders, craft a long-term vision and plan for successfully pushing causal models and insights into the customers\xe2\x80\x99 strategy.

Work closely with the product and research teams to shape the development of our platform.

At least 2 years of commercial data science experience with time series or tabular use-cases (preferably using Python)

Strong academic record in a quantitative field (MEng, MSci, EngD or PhD)

Excellent and proven communication and teamwork skills

Previous experience in high growth technology companies or technical consultancy is a plus

Previous experience in sales, pre-sales, and/or other technical evangelism is a plus

Experience in supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or public sector is a plus

About causaLens
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 \xe2\x80\x94 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 may be biased, but we believe you\xe2\x80\x99ll be in good company. We offer a hybrid working setup and are dedicated to building an inclusive culture where diverse people and perspectives are welcomed. Aside from joining a smart and inspiring team, you\xe2\x80\x99ll 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!

What we offer
We care about our people\xe2\x80\x99s 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:

Access to mental health support through Spill

Competitive salary

Annual Discretionary Bonus

25 days of paid holiday, plus bank holidays

Share options

Pension scheme

Happy hours and team outings

Referral bonus program

Cycle to work scheme

Friendly tech purchases

Office snacks and drinks

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\xe2\x80\x99t hesitate to reach out if you have any questions.

causaLens