Data Scientist
Central London / Hybrid / Remote
Circ £65k - £75k + Bonus
A creative Data Scientist that enjoys discovery and working with new complex data sets is required for this exciting opportunity. This is a newly created post to join a Data Science team responsible for the design, development, implementation, and continuous improvement of a revenue management / dynamic pricing application that will support teams in the UK and internationally. Following the success of recent prototyping, the team are now looking to kick on and get multiple statistical models released as part of a major programme of work. The focus of the role is to improve pricing decisions by delivering dynamic pricing models to support revenue management teams. Experience with dynamic pricing, pricing optimisation and demand forecasting would be beneficial but your ability to work in fast paced environments, be creative and making sense of data from disparate sources is just as important. This is a hybrid position based in the heart of Central London but in reality, you only need to visit the office once or twice a month when needed.
Key responsibilities for the post include:
- Creating and iterating dynamic pricing related models and developing models to support revenue management teams.
- Use data platform to support (and automate) decision making across the business.
- Bring together data to constantly improve understanding of products and customers.
- Forecast customer demand and model the impact of deploying various price management models.
- Create visualisations and dashboards to help the business understand the output of the analysis and models.
- Collaborate across the business to automate the application of science and machine learning.
Key skills and experience:
- Very strong analytical, statistical, and modelling skills (including time series and ensemble models).
- Experience of Dynamic Pricing, Price Optimisation, and Demand Forecasting is beneficial.
- Experience writing complex queries, with strong experience of Python coding and knowledge of SQL.
- Experience of manipulating and making sense of data from disparate sources.
- Experience with the likes of Neural Networks and TensorFlow/PyTorch.
- Experience with cloud-based environments such as AWS, Azure, GCP etc.
- Snowflake experience is beneficial.
- Knowledge of tools such as Power BI or Tableau.
- Comfortable communicating and collaborating with technical and non-technical colleagues.
Our client can offer a salary in the region of £65,000 - £75,000 (dependent on experience) plus an attractive benefits package that includes a bonus scheme.