Applied Data Scientist, causaLens

Salary not provided

+ Annual Discretionary Bonus

AWS

GCP

Python

Java

C++

Azure

Spark

Flow

Git

Junior and Mid level

London

2-5 days a week in office

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

Salary not provided

+ Annual Discretionary Bonus

AWS

GCP

Python

Java

C++

Azure

Spark

Flow

Git

Junior and Mid level

London

2-5 days a week in office

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

Please note that we are not looking for you to "tick all the boxes"
A strong command of Python (knowledge of R is a plus, but not a substitute)
Including end-to-end ML-driven solution development
A deep experience implementing solutions using regression, time-series
At least 2 years commercial data science experience
A strong command of probability and statistics major concepts, tests
A big bonus - if you had a chance to work with causal inference
Experience with productionising data science solutions is a plus
Experience building and deploying ML-driven solutions in AWS, GCP, Azure is a plus
Any items from the following list would be a bonus (the more the better, focusing on real-life implementation experience): all the classical ML algorithms and data science relevant Python libs, NLP, NN, DL, CV
Any items from the following list for be an extra bonus as well: TDD, Git/Hub/Actions/flow, Kedro-or-similar, MLflow, Databricks, Spark, C/C++/Java
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
Experience in supply chain, demand forecasting, retail/cpg, manufacturing, financial services or public sector is a plus

What the job involves

The Applied Data Scientist will be working on development of causal AI driven models and decision applications using our technology to directly impact client business needs
The Applied Data Scientist will work alongside our team of world class researchers, engineers and executives to help us become one of the most recognized names in Tech
You will be required to work directly with our customers, helping them to use our technology to solve their most pressing business needs
Using our causal AI framework to help customers build causal models and Decision Applications, using our proprietary causal discovery, modelling and decision intelligence architectures
Work directly with business stakeholders on the customer side to integrate domain knowledge into the modelling process and help them integrate insights into their decision workflows
Work closely with the Product and Research teams to shape the development of our platform

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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