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- Tasks: Dive deep into data analysis and modelling to uncover sales 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 work flexibility in vibrant London.
- Why this job: Be part of a dynamic team, influence strategic decisions, and enhance your data science skills.
- Qualifications: Strong experience in data modelling, Python, SQL, and a solid understanding of the QSR market.
- Other info: This is a 6-week project with opportunities for growth and learning.
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 SQL/python employer: FRESHMINDS
Contact Detail:
FRESHMINDS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist SQL/python
✨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 your previous 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 SQL/python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, modelling, and the use of SQL and Python. Emphasise any previous work in the Quick-Service Restaurant or FMCG sectors to align with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, express your adaptability and how you thrive in fast-paced environments. Mention specific examples of how you've communicated complex data findings to non-technical stakeholders, as this is crucial for the role.
Showcase Your Technical Skills: Include a section in your application that details your proficiency with data analysis tools like Python, R, and SQL. Provide examples of projects where you've used these skills to drive insights or influence decisions.
Highlight Commercial Understanding: Demonstrate your strong commercial understanding of the QSR market in your application. Discuss any relevant experiences or knowledge that showcase your ability to analyse trends and provide actionable insights in this sector.
How to prepare for a job interview at FRESHMINDS
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL and Python. Bring examples of past projects where you've used these tools to analyse data or build models, as this will demonstrate your hands-on experience.
✨Understand the QSR Market
Research the Quick-Service Restaurant sector and its current trends. Being able to speak knowledgeably about the industry will show your genuine interest and help you connect your skills to the role.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. Since you'll be working with non-technical stakeholders, being able to convey insights clearly is crucial for influencing decisions.
✨Demonstrate Adaptability
Prepare examples that highlight your ability to adapt to changing project requirements or data sources. This will reassure the interviewers that you can thrive in their fast-paced environment.
