- £55-66K
- Full Time
- London
- This position has been filled.
The Company
One of the world’s largest and most progressive social learning platforms, offering further education courses backed a host of the World’s top universities. Their mission is to help improve society through allowing individuals to follow their passions throughout their lifetimes with them believing this will lead to a more prosperous society. Having experienced serious growth since being established, they are now looking to add to their data science team as they look to transition their customer base to more of a subscription based model.
Being an online platform, the company is incredibly data orientated and they intend on using their data to get them to the forefront of the digital education market.
With a relaxed, central London office and a remote first policy, this is an organisation that truly places real responsibility on your shoulders. To them, learning isn’t just a business model, there’s development throughout as you progress through the ranks in line with their business growth.
The Role
This position will see you working across a vast array of business challenges across the entire data science spectrum in order to aid data driven decision making. This means you will be tasked with keeping up best practices and keeping up-to-date with the most innovative techniques as you work on data sets related to various aspects of the online platform whether marketing related, financials, or course content led.
Currently the team are focused on improving their recommendation engine and previously deployed a machine learning model that forecasted their main KPI’s.
You will work alongside other members of the data science team, part of the wider data & analytics function, using cutting edge languages such as Python, AWS, Snowflake and Looker, whilst also mentoring more junior colleagues within the data science team.
The Candidate
The successful candidate will possess the following essential skills and experience:
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A STEM Degree from a well regarded university
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Excellent knowledge of various Python languages such as: Pandas, Seaborn, NumPy, etc
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2 years commercial experience with machine learning and statistical techniques
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A desire to constantly upskill themselves
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Experience in communicating technical solutions to non-technical stakeholders
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Experience of cloud tools such as AWS, GCP or Azure
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Knowledge of complex version control systems such as Git/Github
Job Owner: d.prosser
