Graduate Data Scientist

About this Opportunity

As a boutique consultancy, you’ll work closely with senior colleagues and clients earlier in your career than in larger firms, gaining exposure, responsibility, and development at pace. 

We’re looking for graduates who are passionate about building a long-term career in healthcare consultancy and want to make a meaningful impact from day one. This is an opportunity to join a firm dedicated to shaping and improving the future of healthcare. 

Our graduate scheme is designed to empower early-career professionals who are curious, driven, and committed to transforming health and care systems. You’ll gain hands-on experience while working alongside colleagues who bring deep sector expertise and a collaborative approach to solving complex challenges. 

The day-to-day role of a Graduate Data Scientist will largely involve: 

• Collaborating within multidisciplinary project teams, typically 2-5 people, to support delivery across the full project lifecycle – from opportunity assessment and solution design through to implementation 

• Conducting robust data analysis, drawing on a range of tools and programming languages (including Python, R, SQL, Excel, Power BI, Alteryx, and others) to develop high-quality analytical tools, models, and dashboards 

• Develop data-driven solutions and models, such as supervised and unsupervised machine learning algorithms, demand and capacity optimisation models, financial forecasts and solutions using large language models, ensuring analytical methods are clearly structured and evidence based 

• Working with clients from early on, contributing to analysis and delivery, and building strong relationships through meetings, collaborative working, and clear communication of technical outputs 

• Managing elements of project delivery, including version control and code quality, with oversight from senior team members and a focus on continuous learning and technical development 

• Contributing to the production of key deliverables, such as PowerPoint presentations and reports, ensuring that outputs are tailored to client needs and clearly communicate and visualise analytical findings and their implications in an understandable way 

• Supporting internal business development initiatives, such as proposal writing, contributing to tender submissions, and researching innovations in data science and healthcare analytics 

• Conduct quantitative and qualitative analysis of large data sets, with support from specialist data colleagues where appropriate, to draw meaningful conclusions 

• Proactively seeking opportunities to grow your knowledge and capability in data science and healthcare, including further accreditation or formal training, with the support of your team 

Over the course of the year, you’ll develop your core consultative data science competencies through a combination of structured training, real project work, and contribution to internal initiatives. You’ll be supported throughout by experienced colleagues who are committed to your development and growth. 

More detail on the graduate scheme can be found on our website. 

About You

The ideal candidate will possess the following attributes: 

• Demonstrates curiosity and a strong desire to learn 

• Takes ownership and accountability for work delivered 

• Acts with integrity and professionalism in all interactions 

• Proactive and enthusiastic approach to work 

• Works collaboratively and constructively within multidisciplinary teams 

• Communicates complex ideas clearly and simply 

• Navigates ambiguity confidently, with appropriate support 

• Builds rapport and works effectively with people from diverse backgrounds 

• Manages time effectively and meets deadlines reliably 

Knowledge and Skills

The ideal candidate will possess the following knowledge and skills: 

• Proficient in Python, Microsoft Excel, PowerPoint, and Word 

• Familiarity with Power BI, Alteryx, and/or SQL (desirable but not essential) 

• Strong written and verbal communication skills 

• Numerical reasoning and problem-solving skills, including the ability to interpret and work with data 

• Qualitative reasoning and problem-solving skills, including the ability to analyse complex information and form structured arguments 

• Able to synthesise data, draw meaningful conclusions and present it in a visually clear way to a non-technical audience 

• Understands how to assess risk and when to escalate issues appropriately 

Required Qualifications and Experience

• Undergraduate degree (minimum 2:1 or above) in a STEM subject 
• Graduated within the last two years or on track to graduate by the programme start date 
• Relevant further education and/or practical experience in data science is desirable 

Additional Requirements

• Prepared to travel as required to London and Leeds offices and to client sites across the UK & Ireland 
• Candidates must have the right to work in the UK for the full duration of the contract. Please note that we are unable to offer visa sponsorship for this role 

Benefits Package

We offer a comprehensive benefits package designed to support your wellbeing, development and overall experience with us. This includes: 

• Discretionary bonus scheme  

• 25 days’ annual leave, with the option to buy up to 5 additional days each year  

• Private healthcare, life insurance and group income protection  

• Employer pension contributions  

• Ongoing professional development and training, including 4 days of study leave per year  

• A regular and vibrant social calendar  

• Cycle-to-work scheme  

• Mental health support through our Employee Assistance Programme  

• 4 personal days, 2 volunteering days and up to 4 additional study days on top of annual leave  

• A supportive team environment that invests in your development and offers genuine opportunities for growth  

Application Timelines

The graduate scheme recruitment process is as follows (timelines are indicative and may be subject to change. We will keep you informed of any changes). 

1. Online Application:  

Please use the link on our website to complete the online application form and upload a copy of your CV.  

Please note: Applicants who meet the stated required qualifications and experience set out in this job description will progress to CV review. 

The closing date for the online application is midnight Monday 25 May 2026 

2. First Round Interview:  

After the screening stage, successful candidates will be invited for a virtual interview (via Microsoft Teams) to understand a bit more about your background, experience and motivations for joining our team.  

Interviews will be held between w/c 8 June and w/c 26 June 2026. 

3. Group Assessment Centre Day:  

We will then invite you to our in-office Assessment Centre Day (either Leeds or London) which will involve a series of exercises to further understand your capabilities across key skills. Over the course of the day, you’ll meet several members of the team as part of our assessment process, designed to give you a clear understanding of who we are, while allowing us to fairly evaluate your fit for the role based on defined criteria.  

Assessment Centre Days will take place during the weeks commencing 6 and 13 July 2026 at our London and Leeds offices.

4. Final Round Partner Interview: 

Finally, we will arrange a short final round interview with one of our Partners with the aim of understanding more about you as an individual. 

Final Round Interviews will be held w/c 20 July 

5. Offer & Start 

If you’re successful following the final round interview, we expect to make offers at the end of July or beginning of August. The anticipated start date for the role is 28 September 2026. If this start date presents any issues, please let the hiring team know.