Data Scientist

3 months ago

London, United Kingdom La Fosse Full time

Data Scientist

  • Paying up to £75k + 10% bonus
  • Remote first policy – Office in Central London if preferred.


One of La Fosse’s best clients who are an industry leader within the entertainment/ticketing industry are currently hiring for a talented Data Scientist to join the team.


Even though this company are a global brand, you will be joining a small team of 3/4 and will have a lot of responsibility and play a leading role in rolling out their 3-year project plan, in which they have just launched their first model this year across the UK and USA. This is a pivotal time for the business, and you will help transform the data science capabilities as they build a new cloud-based Data Platform.


As a Data Scientist, you will leverage their extensive quest data to enhance pricing decisions through dynamic pricing models, supporting the revenue management teams, below are the extended responsibilities:


Key Responsibilities:

  • Develop and enhance the revenue management application.
  • Utilize our data platform to support and automate decision-making processes.
  • Forecast customer demand and evaluate the impact of various price management models.
  • Create visualisations and dashboards to communicate analysis and model outputs.
  • Collaborate across the business to automate data science and machine learning applications.
  • Actively participate in our data community to build new capabilities.


Job requirements:

  • Experience in pricing optimisation and demand forecasting.
  • Analytical skills to transform complex data into actionable insights aligned with business KPIs.
  • Strong statistical and modelling skills, including time series and ensemble models.
  • Experience in manipulating and interpreting data from disparate sources.
  • Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc.
  • Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS.
  • Creativity and innovative thinking to explore diverse data sources for improved predictive models.


Desirable:

  • Experience in a similar industry with limited capacity and variable demand.
  • Ability to autonomously tackle complex problems with a solution-driven approach.


If you’re interested in this role and feel you fit the requirements, apply through the AD to find out more


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