Data Scientist

Company Description

Ergodic AI is an AI startup based in London that is building an action-oriented AI platform to help enterprises move from analysis paralysis to rapid data-driven execution.

Kepler - our AI platform - identifies context, surfaces optimal actions and justifies the reasons for their execution. We're an early stage startup and are already working with multiple F500 enterprises.

We’re backed by leading VC funds to help further our mission and are now on the hunt for the brightest and best to join us.

Our Team

The founding team is highly experienced across a range of AI and commercial work, with careers in world class organisations and experience building and exiting $multi-million startups previously.

Process

As you progress through the process, you’ll meet each of the 3 founders who will probe you for your motivations, experiences and fit for the role.

Steps:

• Application / CV screening

• Interview with CTO

• Interview with CSO

• Interview with CEO

• Decision

We aim to move quickly through the process and not waste your time.

The Role

This is a full-time hybrid role for a Data Scientist at Ergodic AI. As a Data Scientist, you will be responsible for analyzing large datasets, applying a range of modelling techniques, performing data analytics, and creating data visualizations.

You will work closely with the founders and our clients to identify and solve complex business problems using data-driven insights. Models that you build will be embedded into our platform - Kepler.

As an early stage hire, you will bring technical experience and hands-on development skills to shape our product as we unleash it on the world's most challenging data & AI problems.

You will receive meaningful equity and a competitive salary alongside all the tech you need to execute.

While the role is primarily located in the London Area, United Kingdom, there is flexibility for some remote work.

Qualifications

• Data Science, Statistics, and Data Analytics skills

• Data Visualization and Data Analysis skills

• Strong proficiency in programming languages such as Python or R

• Experience with machine learning and predictive modelling

• Excellent problem-solving and analytical skills

• Ability to communicate complex ideas and findings to both technical and non-technical stakeholders

• Master's or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field

• Experience with LLMs - fine tuning and customising is a plus

• Experience working with big data and cloud platforms is a plus

• Comfort working in a startup environment (either through experience or desire) where ambiguity is the expectation but the potential to grow is huge