Data Scientists - Quick-Service Restaurant

Freshminds
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist/Statistician

Mid-Level Data Scientists Needed |Financial Services | Guildford Area

Data Analytics Manager

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

Data Science Manager

Data Engineer

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)

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.