Data Scientist in London

Responsibilities: You will turn ideas into actionable business value for Costello Medical and clients by shaping and advancing data science services, leading cross‑team initiatives, expanding machine learning/AI offerings, managing databases, and taking full ownership to drive ideas forward and deliver meaningful outcomes.

Salary: From £45,000 per annum. Individuals with extensive expertise may be considered for senior positions within the team, with both job title and salary range adjusted accordingly.

Benefits: Discretionary profit share bonuses paid twice per year, hybrid and flexible working options, generous holiday allowance, private medical insurance, critical illness cover, income protection, full funding for external training and more.

Role Type: Full-time or part-time (minimum 22.5 hours per week), permanent or 1 year fixed-term contract.

Start Date: The role will ideally commence in April, May or June 2026, and you will be asked to state your availability on your application form.

Application Deadlines: Whilst there are no set application deadlines, we strongly recommend applying as early as possible. The role will close when a suitable candidate is found.

Location: This role is available in our Global Headquarters in Cambridge, as well as our London, Manchester and Bristol offices.

About the Role: This newly created role will support the expansion of our small group of Data Scientists, who work within the larger Evidence Development team. This growth is being driven by rising client demand for data science expertise. As a member of this multidisciplinary team, you will play a key role in developing and enhancing our Data Science services for clients. This role will be cross-functional, working predominantly with our Statistics, Literature Reviews, Engineering and Real-World Evidence (RWE) teams on a variety of project types. As one of the few Data Scientists at the company, you will be responsible for applying your expertise to our projects to suggest data science solutions to business problems.

Your key responsibilities will include:

• Building Bespoke Web Applications and Interactive Tools: Collaborate with the Statistics team to create apps that display the results of analysis; Build visual web applications that display health economic models.
• Building Internal Tools and Automation of Processes: Assist in automation of data extraction and report generation.
• Building and Managing Databases: Collaborate with the RWE team to create an internal data directory; Develop databases and tools to facilitate data management; Work with the Engineering team to build a literature management platform.
• Expanding Service Offerings: Implement business development skills to identify machine learning opportunities with new or existing clients; Support with data processing on RWE projects, which utilise data from a variety of sources (EHR, disease registries, claim databases etc.); Provide visualisation of healthcare data across multiple teams.

Our standard working week is 37.5 hours, Monday to Friday, however, we can also consider applicants looking for part-time hours of at least 22.5 hours per week.

Requirements: In this role, it is essential to transform ideas into actionable business benefits, both for Costello Medical and our clients. As this is a standalone role within the company, you need to demonstrate the initiative and responsibility for driving ideas forward, whilst considering the benefits of the outcome. We welcome applications from candidates at all levels of experience. Individuals with extensive expertise may be considered for senior positions within the team, with both job title and salary range adjusted accordingly.

Essential technical requirements for the role are:

• Experience working in a professional data science role in the healthcare sector. Candidates with postdoctoral research experience in the health data science field may also be considered.
• A degree level or higher qualification in a STEM discipline (minimum 2.1).
• Expertise in programming languages (e.g. Python, R, SQL, HTML, CSS, Flask, SQL).
• Experience with the application of machine learning models and algorithms.
• Knowledge and application of natural language processing techniques.
• Excellent data visualisation skills.

Essential non-technical requirements for the role:

• A passion for working in, and making a difference to, the healthcare sector.
• Strong business acumen.
• The ability to collaborate effectively with key stakeholders to understand their technical needs, propose tailored solutions, and to ensure project success and stakeholder satisfaction.
• The ability to adapt and work independently on projects that span several teams.
• Experience in implementing new processes and systems to support the integration and application of data science approaches.
• A willingness to learn new technologies.

Desired requirements for the role are:

• Experience working with sophisticated data visualisation libraries such as Matplotlib and Plotly in Python.
• Experience in a consultancy role.
• Experience with business development and identification of market opportunities for machine learning.
• Experience with data science related tools (e.g. Shiny, D3, AWS, dbt).
• Experience with statistical/analytical methodologies and algorithms (e.g. classification, regression, clustering, feature selection/engineering, deep learning, time-series analysis, network analysis, hypothesis testing).

Joining Costello Medical from Academia: At Costello Medical, we warmly welcome applicants from academia who are looking to transition into a role within a commercial, industry-based setting. We understand the unique perspectives and valuable skills that academic professionals bring to our team. To support your career change, we offer comprehensive training, mentorship programs, and a work culture that fosters collaboration, growth and innovation. We are committed to facilitating a smooth transition and helping you thrive in an industry-based setting.

Benefits: Alongside our award-winning company culture, where every team member is celebrated, respected, and has their voice heard, we are proud to offer a comprehensive benefits package which includes:

• A salary from £45,000 annum, as well as a discretionary profit share bonus paid twice per year.
• 25 days' annual leave plus bank and public holidays, as well as a holiday buy and sell scheme.
• Flexible working hours and the chance to work from home for up to half of your working time after passing probation.
• Flexible benefits scheme offering cash payments, additional pension contributions and more.
• Private Medical Insurance which offers comprehensive cover on a "medical history disregard" basis.
• Paid study leave and funding for external qualifications.
• Critical Illness Cover, Income Protection and Life Assurance.
• Paid and unpaid sabbaticals based on length of service.

Hybrid Working Policy: We believe that having face-to-face time in the office holds many benefits and is central to ensuring that the community we have created, where people have a workplace they belong to and feel part of, is never lost. At the same time, we recognise that homeworking can improve work life balance, reduce commuting times and costs, and provide the opportunity to juggle personal commitments. Therefore, we offer flexible working arrangements that allow our colleagues who have passed probation to work from home for up to half of the time, measured across a 2-week rolling period.

The Application Process: You are required to submit your CV, cover letter and portfolio via our online application form. In your cover letter, you must explain why you think you would be suited to the role and why you would like to join Costello Medical, with examples to support both. Your CV should clearly state the dates of all qualifications and grades achieved where applicable.

Our recruitment process includes a video interview which will be reviewed by our team. If successful, you will be invited to a final interview with key members of our Evidence Development team. Our standard recruitment process lasts around three weeks, however, this can be adapted if necessary.

As an equal opportunity employer, we are committed to fostering a diverse and inclusive workforce and, throughout the recruitment process, there are a number of reasonable adjustments we can provide.

Visa Sponsorship: We can provide visa sponsorship for eligible candidates for our Data Scientist role. You will be asked to provide details of your right to work in the UK within your application, however this will have no impact on the processing of your application.