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- Tasks: Dive into data analysis and modelling to uncover insights in the QSR sector.
- Company: Join a leading private equity firm focused on impactful data-driven decisions.
- Benefits: Enjoy a competitive day rate and hybrid working options for flexibility.
- Why this job: Be part of a dynamic team, influencing strategic decisions with your data expertise.
- Qualifications: Strong skills in Python, SQL, and data analysis; experience in QSR or FMCG is a bonus.
- Other info: This is a 6-week project, perfect for those looking to make an immediate impact.
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.
- Perform in-depth analysis and data modelling to identify QSR trends, key actionable insights and issues affecting sales numbers.
- 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.
- Contribute to the development of predictive models, ensuring the alignment of analysis with the client's objectives.
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.
Adaptability and the ability to thrive in a fast-paced, evolving project environment.
Day rate: £400-£500Ltd/day, depending on experience.
Location: London (Hybrid, with a few days per week in the office).
Data Scientist - Python and SQL employer: FRESHMINDS
Contact Detail:
FRESHMINDS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Python and SQL
✨Tip Number 1
Familiarise yourself with the Quick-Service Restaurant (QSR) and FMCG sectors. Understanding the market dynamics and recent trends will help you speak confidently about how your skills can address their specific challenges.
✨Tip Number 2
Brush up on your data modelling and analysis techniques, especially in Python and SQL. Be prepared to discuss specific projects where you've successfully used these tools to derive insights from large datasets.
✨Tip Number 3
Practice explaining complex data findings in simple terms. Since you'll be communicating with non-technical stakeholders, being able to convey your insights clearly will set you apart from other candidates.
✨Tip Number 4
Showcase your adaptability by sharing examples of how you've thrived in fast-paced environments. Highlighting your ability to pivot and respond to changing project needs will resonate well with the hiring team.
We think you need these skills to ace Data Scientist - Python and SQL
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with Python and SQL. Include specific projects or roles where you've performed data analysis, modelling, or worked with large datasets, especially in the QSR or FMCG sectors.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your adaptability and how your skills align with the project requirements. Provide examples of how you've communicated complex data findings to non-technical stakeholders in the past.
Showcase Relevant Skills: Highlight your proficiency with data analysis tools like Python, R, and SQL. If you have experience with predictive modelling or statistical techniques, make sure to include that as well. This will demonstrate your capability to meet the job's demands.
Prepare for Potential Questions: Think about how you would explain your previous work and its impact on business decisions. Be ready to discuss specific examples of how you've adapted to changing project environments and tackled challenges in data analysis.
How to prepare for a job interview at FRESHMINDS
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and data modelling techniques. Bring examples of past projects where you've successfully analysed large datasets and derived actionable insights, especially in the QSR or FMCG sectors.
✨Understand the Business Context
Research the Quick-Service Restaurant and FMCG industries before the interview. Demonstrating a strong commercial understanding of these markets will show that you can align your data analysis with the client's objectives.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. Since you'll be communicating with non-technical stakeholders, being able to convey your insights clearly and effectively is crucial for influencing strategic decisions.
✨Demonstrate Adaptability
Prepare to discuss how you've adapted to changing project requirements or data sources in the past. Highlighting your flexibility and ability to thrive in fast-paced environments will resonate well with the hiring team.
