Lead Data Scientist

Recruiter
Causal AI

Salary
N/A

Applications close
N/A

Hours
Full-time

Contract type
Permanent

Location
Hammersmith

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Job description

The Role

We are looking for a Lead 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 Lead Data Scientist will manage some of most important deployments and engagements with the biggest companies in every industry. You will also be tasked with developing 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.

What you will do

As a Lead 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, and experience managing data science engagements with global Enterprises. Some of your responsibilities will include:

• Stakeholder and project management.

• Responsibility for the successful deployment of the causal AI platform, with a focus on adding value and renewing each customer.

• 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.

Job requirements

• At least 4 years of commercial data science experience with time series or tabular use-cases, preferably using Python

• 2 years experience being responsible for the successful deployment of data science projects

• 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 we offer

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:

• Access to mental health support through Spill

• Competitive salary

• 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