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Data Scientists - Quick-Service Restaurant

Freshminds
London
6 months ago
Applications closed

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Our client in a prominent PE firm, is conducting a deep-dive analysis into their customer, consumer, and product data to uncover insights into their recent sales performance issues within the Quick-Service Restaurant/FMCG retail sector. They are seeking adaptable and driven Data Scientists to join the team for a 6-week project.


You will be working closely with the Data Science Lead who is taking charge of the project from the clients’ team, ensuring smooth delivery and impactful outcomes. The role requires flexibility and the ability to adapt to various data sources, business challenges, and stakeholder needs.


Responsibilities:

  • Perform in-depth analysis and data modelling to identify QSR trends, key actionable insights and issues affecting sales numbers.
  • Collaborate with team members to develop and validate hypotheses and insights.
  • Work with various data sources, including customer, consumer, and product data, to uncover actionable insights.
  • Communicate complex data findings clearly to non-technical stakeholders, influencing strategic decisions.
  • Use a proactive approach to address business challenges, offering solutions and recommendations.
  • Contribute to the development of predictive models, ensuring the alignment of analysis with the client's objectives.


Requirements:

  • Strong commercial understanding of QSR market
  • Strong experience in data modelling, analysis, and statistical techniques.
  • Proficiency with data analysis tools such as Python, R, SQL, or similar.
  • Experience working with large datasets and knowledge of the FMCG industry is a plus.
  • Ability to work effectively in a team and collaborate across functions.
  • Adaptability and the ability to thrive in a fast-paced, evolving project environment.


Details:

  • Start date: Start of April
  • Duration: 6 Weeks
  • Day rate: £400-£500Ltd/day, depending on experience
  • Location: London (Hybrid, with a few days per week in the office)

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