Data Science Manager

Barilla Group
London
2 months ago
Applications closed

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Data Science Manager

Data Science Manager – Gen/AI & ML Projects - Bristol

Data Science Manager

Data Science Manager Gen/AI & ML Projects - Bristol

Data Science Manager

Data Science Manager

We are looking for our nextData Science Manager!

About the job:

You will be responsible for working cross-functionally to prioritise and execute business briefs that generate insights that drive the organisation forward. Your role will be to act as the specialist in finding the best possible methodologies and data to fuel data solutions within Sales and Finance. Analysis that is conducted will require the use of statistical and data science techniques to model complex business problems. Findings will be relayed to key stakeholders, including senior leadership, to make data-led decisions. You will need to be comfortable with managing technical agency partners as well as conducting hands-on analysis to drive projects forward. You must be able to use programming languages such as Python, Pyspark, and SQL to data mine, model, and visualise outputs. The role will benefit from someone with experience in Revenue Growth Management (RGM) and financial modelling.

Key Accountabilities:

  1. Developing data science products and solutions through modelling complex business problems, and discovering insights and opportunities through statistical, algorithmic, machine learning, and visualisation techniques.
  2. Act as a business translator communicating complex data science techniques and findings into a compelling narrative.
  3. Work cross-functionally with different teams and stakeholders, including Finance, IT, and Global marketing teams to drive multiple projects forward simultaneously.
  4. Develop, validate, and implement predictive models and algorithms that drive business solutions.

Qualifications & Requirements:

  1. Proven experience in retail analytics, media, and activation.
  2. At least 5 years of professional experience as a data scientist or related role.
  3. Competent in programming (Python or Pyspark) and experience with analytics languages and visualization tools: SQL, PowerBI.
  4. Strong knowledge of Revenue Growth Management and financial predictive modelling techniques.
  5. Experienced at leveraging both structured and unstructured data sources.
  6. You are an independent thinker, able to work autonomously, capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences.
  7. You are a communicative person who values building strong relationships with colleagues.
  8. Experienced in presenting results to senior stakeholders.

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