Applied Data Scientist, causaLens

Causal AI

£60-80k

+ Stock Options

Python

Junior and Mid level

London

2-5 days a week in office (Hammersmith, London)

Delivering Digital Workers that enterprises can truly rely on

Job no longer available

Delivering Digital Workers that enterprises can truly rely on

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataDeep TechStrategic IntelligenceData AnalysisNo-Code

Job no longer available

£60-80k

+ Stock Options

Python

Junior and Mid level

London

2-5 days a week in office (Hammersmith, London)

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataDeep TechStrategic IntelligenceData AnalysisNo-Code

Company mission

It’s time for Digital Workers to take on the repetitive workflows, freeing humans to focus on what matters most.

Job

Company

Role

Who you are

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

What the job involves

We are looking for a 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 Applied Data Scientist will develop causal-AI-driven models and decision applications using our technology to solve the most high-impact challenges in industries like retail, marketing, supply chain, manufacturing and finance
As a Data Scientist at causaLens, you will play a pivotal role in advancing our Causal AI technology
This position demands a strong foundation in data science, particularly with time series or tabular use-cases, preferably using Python
Using our causal AI framework to build causal models and decision applications, using our proprietary causal discovery, modelling, and decision intelligence architectures on client-supplied data sets and use cases
Collaborating directly with business stakeholders to integrate domain knowledge into the modeling process, demonstrating how insights can enhance decision workflows
Crafting long-term visions and plans, in collaboration with clients and causaLens stakeholders, to successfully implement causal models and insights into customers' strategies
Work closely with the product and research teams to shape the development of our platform

Application process

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

Salary benchmarks

Our take

Digital Workers are becoming a critical part of how enterprise operate, automating repetitive tasks and helping teams focus on higher-value work. causaLens delivers these Digital Workers, providing a platform designed to create, deploy, and manage them across a range of workflows, much like machines transformed manufacturing in the past.

The platform combines an Operating System and factory for Digital Workers, allowing organisations to streamline processes, reduce reliance on multiple tools, and minimise dependency on external consultancies. So, by automating routine workflows, enterprises can improve efficiency and allocate human effort to tasks that require creativity and judgement.

causaLens has gained some serious traction with major global enterprises too, including J&J, Cisco, IPG Group, and Syneos Health. Backed by more than $50M in funding from investors such as Molten Ventures, Dorilton Capital, IQ Capital, and notable angel investors such as the CEO of Revolut, the company is very much ready to expand the adoption of Digital Workers across industries.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

-12% employee growth in 12 months

Glassdoor (3.6)

Company

Funding (last 2 of 3 rounds)

Jan 2022

$45m

SERIES A

Apr 2019

$4.7m

SERIES A

Total funding: $50.7m

Company benefits

Learning and Development Budget
Benefits to choose from, including Health/Dental Insurance
25 days holiday (excl. bank holidays)
Share options
Employer pension contribution match
Work abroad (2 weeks per annum)
Special Discounts

Company HQ

West Kensington, London, UK

Leadership

Dr. Darko Matovski

(CEO)

Has a PhD in Computer Science from Southampton. Previously worked for Man Group and as a Quantitative Researcher at another hedge fund.

Maksim Sipos

(CTO/CSO)

Has a PhD in Physics from the University of Illinois. Career began at a hedge fund in Princeton, where they utilised petabyte-size live algorithmic systems managing 100s of millions of USD.

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