Data Scientist (Pricing)

Data Scientist (Pricing)

• Paying up to £75/80k + 10% bonus
• London - 1 day a week in the office.

One of La Fosse’s best clients who are an industry leader within the entertainment space 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 4/5 and will have a lot of responsibility and play a leading role in building new and developing existing pricing models. 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 across the UK and the USA.

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:

• Preferably some 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.
• Ideally previous experience with Snowflake and DBT.
• Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS.
• Creativity and innovative thinking to explore diverse data sources for improved predictive models.

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

Data Scientist