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For Companies At a Glance
- Tasks: Develop bespoke web applications and collaborate on innovative data science projects in healthcare.
- Company: Join a rapidly growing global healthcare agency with a focus on innovation.
- Benefits: Competitive salary, profit share bonuses, generous holiday allowance, and private medical insurance.
- Why this job: Make a real impact in healthcare by leveraging your data science skills.
- Qualifications: Experience in data science, programming skills in Python, R, SQL, and a passion for healthcare.
- Other info: Flexible working hours and excellent career development opportunities await you.
The predicted salary is between 36000 - 60000 £ per year.
This newly created role will support the expansion of our small group of Data Scientists within the Evidence Development team, 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.
Responsibilities
- Building Bespoke Web Applications and Interactive Tools: Collaborate with the Statistics team to create apps that display analysis results. 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 utilizing data from EHRs, disease registries, claim databases, etc. Provide visualisation of healthcare data across multiple teams.
Qualifications
- 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 such as Python, R, SQL, HTML, CSS, Flask.
- Experience with the application of machine learning models and algorithms.
- Knowledge and application of natural language processing techniques.
- Excellent data visualisation skills.
- 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 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.
- Experience working with sophisticated data visualisation libraries such as Matplotlib and Plotly in Python (desired).
- Experience in a consultancy role (desired).
- Experience with business development and identification of market opportunities for machine learning (desired).
- Experience with data science related tools such as Shiny, D3, AWS, dbt (desired).
- Experience with statistical/analytical methodologies and algorithms such as classification, regression, clustering, feature selection/engineering, deep learning, time‑series analysis, network analysis, and hypothesis testing (desired).
Role Details
- Salary: From £45,000 per annum; individuals with extensive expertise may be considered for senior positions within the team.
- Benefits: Discretionary profit share bonuses paid twice per year; 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: Ideally commence in April, May or June 2026; availability to be stated on the application.
- Application Deadline: No set deadline, but the role will close when a suitable candidate is found.
- Location: Global Headquarters in Cambridge, as well as London, Manchester and Bristol offices.
About Costello Medical
Costello Medical is a rapidly growing global healthcare agency specialising in medical communications, market access and health economic and outcomes research. We work with a wide range of clients, including the industry's most successful pharmaceutical and medical technology companies, patient and public health bodies and charitable organisations. We are committed to facilitating smooth career transitions for academics into industry roles. Our comprehensive training, mentorship programmes and collaborative culture support this goal.
Data Scientist in City of Westminster employer: Costello Medical
Contact Detail:
Costello Medical Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in City of Westminster
✨Network Like a Pro
Get out there and connect with people in the data science field! Attend meetups, webinars, or industry conferences. You never know who might have a lead on that perfect job or can introduce you to someone at Costello Medical.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those related to healthcare data science. Use platforms like GitHub to share your code and visualisations. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tailor Your Approach
When reaching out to companies, including Costello Medical, make sure to tailor your message. Highlight your relevant experience and express your passion for healthcare data science. A personalised approach shows you're genuinely interested and can set you apart from the crowd.
✨Leverage Our Website
Don't forget to check out our website for job openings and apply directly through it! We often post exclusive opportunities there, and applying through our site can give you a better chance of getting noticed by our hiring team.
We think you need these skills to ace Data Scientist in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience in healthcare data science and any relevant programming skills like Python or R. We want to see how your background fits with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about working in healthcare and how you can contribute to our Evidence Development team. Let us know what excites you about this role!
Showcase Your Projects: If you've worked on any cool data science projects, make sure to mention them! Whether it's building web applications or using machine learning, we love to see practical examples of your work that demonstrate your skills.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about who we are and what we do!
How to prepare for a job interview at Costello Medical
✨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially in healthcare. Be ready to discuss your experience with programming languages like Python and R, as well as any machine learning models you've worked with. Show them you can apply your skills to real-world problems!
✨Show Off Your Collaboration Skills
This role involves working with various teams, so be prepared to talk about your past experiences collaborating with others. Share specific examples of how you've worked with stakeholders to understand their needs and deliver tailored solutions. It’s all about teamwork!
✨Demonstrate Your Business Acumen
Since the job requires identifying machine learning opportunities, think of examples where you've successfully contributed to business development. Highlight your understanding of the healthcare sector and how your data science skills can drive value for clients.
✨Prepare Questions to Ask
Interviews are a two-way street! Prepare thoughtful questions about the team, the projects you'll be working on, and the company culture. This shows your genuine interest in the role and helps you determine if it's the right fit for you.
