Data Scientist (ML Engineer)

Data Scientist (ML Engineer)

Full-Time 56515 - 56515 £ / year (est.) Home office (partial)
TipTopJob

At a Glance

  • Tasks: Design and deploy machine learning models to solve real-world health problems.
  • Company: Join NICE, a leading organisation improving health and wellbeing through science.
  • Benefits: Enjoy flexible working, generous leave, and an NHS pension for your future.
  • Other info: Be part of a supportive, inclusive team driving digital transformation in healthcare.
  • Why this job: Make a genuine difference in society while advancing your career in data science.
  • Qualifications: Masters degree or equivalent experience in data science or related fields.

The predicted salary is between 56515 - 56515 £ per year.

Location: Manchester

Salary: GBP 49,387 to GBP 56,515 per annum

Vacancy Type: Permanent, Full Time

The closing date is 18 June 2026

Job Summary

Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making. As an organisation we all collaborate to achieve this goal by empowering our workforce to do great things.

Please note that this role may not be eligible for sponsorship under the Skilled Worker route. We reserve the right to close the advert early should we receive sufficient applications, so please don't delay your submission.

What you will do and bring to the role:

  • Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production.
  • Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities.
  • Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI.
  • Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions.
  • Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches.
  • Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues.

About Us

The Architecture and Data team sits at the heart of NICE’s digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes.

We can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment. We are passionate and proud of the work we do and the impact we make.

Benefits:

  • Generous NHS Pension – Secure your future with one of the most rewarding pension schemes in the UK.
  • Flexible working – Enjoy a healthy work‑life balance with options like remote working, compressed hours and flexible start/finish times.
  • Exclusive discounts – Save on shopping, dining and more with a Blue Light Card.
  • Time to recharge – Start with 27 days annual leave plus bank holidays.
  • Inclusive staff networks – Join supportive communities such as Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud, where we celebrate diversity.
  • Tailored development – Grow your career with personalised learning and development opportunities.

Person Specification:

Holds highly developed specialist knowledge and expertise acquired through a masters degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through…

Data Scientist (ML Engineer) employer: TipTopJob

At the National Institute for Health and Care Excellence (NICE), we pride ourselves on being an exceptional employer dedicated to making a meaningful impact on society. Located in Manchester, we offer a supportive and inclusive work culture that champions employee growth through tailored development opportunities, flexible working arrangements, and a generous benefits package including a secure NHS pension and ample annual leave. Join us in our mission to improve health and wellbeing while enjoying a collaborative environment where your contributions truly matter.

TipTopJob

Contact Details:

TipTopJob Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist (ML Engineer)

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We think you need these skills to ace Data Scientist (ML Engineer)

Machine Learning
Data Preparation
Model Deployment
Statistical Analysis
Data Governance
AI Ethics
Collaboration

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at TipTopJob, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at TipTopJob. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at TipTopJob

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.