Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientists - Quick-Service Restaurant

Freshminds
London
5 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist - NLP

Lead Full-stack Data Scientist

Senior MLOps Engineer

Data Engineer (Snowflake) - £530 per day - Inside IR35 - Remote

Data Engineer (Contract)

Data Engineer II - Decision Analytics

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)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.