Senior Data Scientist

Public Health Wales
Bridgend
1 week ago
Create job alert

An exciting opportunity has arisen to join the NHS Wales Financial Planning & Delivery Directorate as a Senior Data Scientist. You will be joining an innovative and award-winning team that is passionate about delivering value within NHS Wales, offering insights to the wider system by triangulating patient outcomes, financial data and healthcare activity, supporting financial sustainability and improvement across the system.


As the profile and reputation of the Directorate has grown since its inception, so has the demand for its expertise and insight.


It is an exciting time for individuals with drive and ambition to join the team with a growing work programme, agenda, and opportunity to make a difference within NHS Wales.


Main duties of the job

This post sits within the Financial Planning & Delivery directorate of NHS Wales Performance and Improvement.


In order to support the provision of insightful information, we have developed an Analytics Centre of Excellence, leading the development of high-quality products that provide insight and intelligence to a wide range of stakeholders, including finance professionals, clinicians, operational teams and boards. We are seeking to expand this team through recruitment of dedicated informatics professionals to work alongside our business analysts.


Our work programme is focused on the following six themes:



  • Intelligence and Insight;
  • Support and Challenge;
  • Value Based Healthcare;
  • Planning and Monitoring;
  • Leadership & Development;

The Senior Data Scientist will play a pivotal role in:



  • Navigating and linking big data sets
  • Producing high quality data visualisations to demonstrate variation and highlight key themes and messages
  • Maximising innovative opportunities around predictive analytics and forecasting
  • Developing innovative solutions to complex problems
  • Quality assuring and validating data; and
  • Delivering high profile projects, contributing to the delivery of our work streams.

About us

NHS Performance & Improvement works in partnership for and on behalf of Welsh Government, in and with the NHS in Wales and is hosted by Public Health Wales.


Our key purpose is to drive improvements in the quality and safety of care - resulting in better and more equitable outcomes, access and patient experience, reduced variation, and improvements in population health.


We do this by providing strong leadership and strategic direction - enabling, supporting, and directing NHS Wales to transform clinical services in line with national priorities and standards.


To find out more about working for us and the benefits we offer please visit https://phw.nhs.wales/careers/


For guidance on the application process, please visithttps://phw.nhs.wales/working-for-us/applicant-information-and-guidance/


Job responsibilities

You will be able to find a full Job Description and Person Specification attached within the supporting documents or please click Apply now to view in Trac.


The ability to speak Welsh is desirable for this post; English and/or Welsh speakers are equally welcome to apply.


Person Specification
Qualifications

  • Relevant experience to Master degree level or equivalent professional experience.
  • Evidence of continuing professional development.

Experience

  • Experience of linking complex data sets to derive meaningful analysis.
  • Experience of validating and quality assuring outputs.
  • Experience of statistical analysis of highly complex information.
  • Experience of planning workload independently and project management skills
  • Ability to manage complex and varying workloads whilst delivering to often tight timescales.
  • Experience and understanding of data quality issues (including resolution of such issues).
  • Significant experience of databases/data modelling tools within an information environment.
  • Experience of providing and presenting highly complex information to clinicians and senior managers.
  • Experience of providing specialist advice on highly complex information issues
  • Experience of using business intelligence tools to provide meaningful insight to a range of audiences.
  • Experience of using Microsoft Power BI and Power Automate.
  • Experience in machine learning and statistical modelling, including supervised and unsupervised learning, and time-series forecasting.

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist (GenAI)

Senior Data Scientist

Senior Data Scientist & Machine Learning Researcher

Senior Data Scientist (GenAI)

Senior Data Scientist (GenAI)

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.

Careers

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.

Jobs

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.

Careers Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.