We are looking for a Data Scientist to develop and deploy advanced analytics and optimisation solutions in a manufacturing environment. The role involves applying modelling, optimisation, and simulation techniques to improve operational efficiency and deliver production-ready solutions. Key Responsibilities Apply exploration-exploitation methods and optimisation techniques (surrogate models, Bayesian optimisation, imitation learning). Build dynamic feedback control models and stochastic simulation models....
Randstad Technologies Recruitment
London
Data Scientist (Globally Renowned Retail Group)
Your new company Working for a globally renowned retail company. Your new role Seeking a hands-on Data Science role in London to support R&D for automated packaging. You'll combine operations research, simulation, and practical engineering to create models that improve how the products are counted, bagged, and boxed. The goal: deliver iterative, production-ready solutions that make our packaging systems faster,...
Hays Technology
London
Data Scientist
Dta Scientist, AI, Python, LLM, React, UK, Remote to £80,000 A growing Data Analytics outfit are looking for a Data Scientist as they look to build robust platforms to deliver AI Data insights. They are looking for a someone who has experience with data heavy products, data science, AI and statistical modelling. You will also have some full stack capability...
Ascend Consulting
London
Data Scientist
Our client an award winning SaaS organisation providing software solutions to the SME marketplace is now seeking an experienced Data Scientist for a 12 month contract. You will be assisting in the company transition from correlation-based reporting to causal-based decision making, helping guide key marketing investment decisions. Central London location, hybrid, with 2-3 days a week in the office. Responsibilities...
EF Recruitment
Victoria, Greater London
Data Scientist / Software Engineer
JWF Group is a long-established provider of process instrumentation and measurement solutions, trusted by customers across multiple industries for over 60 years. We are now expanding our capabilities beyond traditional measurement and visualisation toward advanced data-driven solutions. To support this transformation, we are seeking a Data Scientist with strong software engineering skills. Someone who can turn raw data into actionable...
JWF Ltd
Pollokshields
Data Scientist - New
Data Scientist – London - Hybrid Job description BDO Regulatory Solutions are currently recruiting for a Data Scientist to join our client, a Regulated firm, based in London. We are offering an initial 3 month contract starting ASAP with an excellent day rate, employed via an Umbrella company. About the role: We are looking for talented and experienced data scientists...
If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day.
Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making.
This guide focuses on the only maths most data scientists keep using:
Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty)
Probability for real-world data (base rates, noise, sampling, Bayesian intuition)
Linear algebra essentials (vectors, matrices, projections, PCA intuition)
Calculus & gradients (enough to understand optimisation & backprop)
Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds)
You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.
Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions.
That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia.
If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work.
This guide is written for data science job seekers in the UK. We’ll explore:
What neurodiversity means in a data science context
How ADHD, autism & dyslexia strengths map to common data science roles
Practical workplace adjustments you can request under UK law
How to talk about your neurodivergence in applications & interviews
By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.
Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products.
Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.
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