Associate Data Scientist (HEO)

Public Sector Resourcing
Newport
1 day ago
Create job alert

On behalf of ONS, we are looking for an Associate Data Scientist (INSIDE IR35) for a 6 month contract based Hybrid in Newport or Titchfield.


About the Role

ONS is building a brand new early career Data Scientist talent pipeline to grow the next generation of data professionals supporting the UK’s most important statistics. This is a fantastic opportunity for people with foundational data science skills who are looking to develop quickly, gain hands on experience and contribute to projects that impact millions of people across the UK. You’ll join as an Associate Data Scientist (HEO), working within multidisciplinary teams alongside experienced Data Scientists, Data Engineers and Software Engineers. You’ll contribute to the development of analytical models, data pipelines and statistical products that underpin core UK government data.


Responsibilities

  • Preparing, cleaning and transforming datasets for analysis.
  • Running exploratory data analysis and producing visual insights.
  • Building and testing simple machine‑learning models under guidance.
  • Contributing to data science projects used in national statistics, forecasting and research.
  • Working with Data Engineers and senior DS colleagues to deliver quality‑assured outputs.
  • Learning new tools, techniques and technologies as part of structured development pathways.
  • This role suits someone with solid academic grounding and early hands‑on experience who wants to grow fast.

Essential

  • Experience using Python or R to write scripts and build basic models.
  • Understanding of statistics and model evaluation metrics.
  • Ability to clean, prepare and manipulate data.
  • Ability to explain findings to both technical and non-technical audiences.
  • Curious, analytical mindset with a desire to learn and grow.

Desirable

  • A degree in Data Science, Maths, Statistics, Computer Science or related field or equivalent practical experience.
  • Exposure to cloud environments (e.g., AWS or Azure).
  • Familiarity with data visualisation tools (PowerBI, Plotly or similar).
  • Some experience with machine learning libraries (such as Scikit‑learn).
  • Basic understanding of Agile or collaborative delivery methods.

Please be aware that this role can only be worked within the UK and not Overseas.


Disability Confident

As a member of the Disability Confident Scheme, ONS guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy. In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group. This scheme encourages candidates with a disability and/or neurodivergence to apply. In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance.


Armed Forces Covenant

ONS guarantees to interview veterans or spouses / partners of military personnel who meet all the essential criteria for the vacancy. In cases where we have a high volume of ex‑military candidates / military spouses or partners, who meet all of the essential criteria, we will interview the best candidates from within that group. In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance.


In applying for this role, you acknowledge the following "this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such the payment to the intermediary and your income resulting from this contract will be different".


#J-18808-Ljbffr

Related Jobs

View all jobs

Associate Data Scientist (HEO)

Associate Data Scientist

Associate Data Scientist - Hybrid, 6 Month Contract

Associate Data Scientist (HEO)

Associate Data Scientist (HEO)

Research Associate (Data Scientist) - City Futures Research Centre

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.