At a Glance
- Tasks: Apply AI and machine learning to create innovative healthcare solutions.
- Company: Join a leading analytics team at Adelphi Values PROVE™ in London.
- Benefits: Enjoy flexible hybrid working, competitive salary, and professional growth opportunities.
- Other info: Be part of a dynamic team focused on impactful health economics.
- Why this job: Make a real difference in healthcare through data-driven insights and collaboration.
- Qualifications: Experience in data science, machine learning, and teamwork is essential.
The predicted salary is between 63000 - 77000 £ per year.
Adelphi Values PROVE™ is seeking a Data Scientist to join our expanding Data and Analytics team in London, with flexible hybrid working options.
You will apply machine learning, AI and data analysis to develop innovative solutions that support health economics and value demonstration services for clients.
You will leverage technical expertise to drive new offerings, support evidence research, and collaborate with cross-functional teams to advance PROVE's capabilities and client impact.
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London Data Scientist — AI, ML & Healthcare Analytics employer: Adelphi Group
Adelphi Research is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the pharmaceutical and healthcare sectors. With a strong emphasis on employee growth, we provide opportunities for mentorship and professional development, alongside a competitive remuneration package that includes performance bonuses and health benefits. Located in the picturesque Bollington, Cheshire, our headquarters not only offers a supportive environment but also the chance to engage with diverse international clients, making every day at Adelphi Research both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land London Data Scientist — AI, ML & Healthcare Analytics
✨Get Involved in Data Science Meetups
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We think you need these skills to ace London Data Scientist — AI, ML & Healthcare Analytics
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Adelphi Group, 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 Adelphi Group. 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 Adelphi Group
✨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!
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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.
