At a Glance
- Tasks: Solve real-world healthcare problems using machine learning and AI.
- Company: Join Inizio Medical, a leader in healthcare communications.
- Benefits: Enjoy remote work, competitive salary, and private medical insurance.
- Other info: Flexible working environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by building AI products for healthcare.
- Qualifications: Experience in Data Science, Machine Learning, and strong Python skills.
The predicted salary is between 50000 - 70000 £ per year.
Location: Remote (UK), Occasional travel
About Us
Inizio Medical is part of Inizio, a global leader in healthcare communications. We help pharmaceutical and healthcare organisations turn complex science into meaningful impact through data, insights, and innovation.
We’re expanding our Medical Analytics & Innovation team and looking for a Data Scientist who enjoys solving real-world problems with machine learning, AI, and data engineering. This is an opportunity to build products, not just analyses, at the intersection of healthcare, analytics, and generative AI.
What You’ll Do
- Execute end-to-end data science projects with guidance from senior team members, from problem definition to deployment.
- Build and optimise machine learning and NLP solutions that drive client decision-making.
- Design scalable data pipelines and workflows using structured and unstructured data.
- Apply LLM APIs to build and enhance analytical and client-facing deliverables, including prompt design, RAG architectures, and vector search.
- Source, extract, and normalise data from external APIs (REST and GraphQL), handling authentication, pagination, and schema variability; integrate cloud services and modern data platforms into analytical workflows.
- Create reusable tools and frameworks that scale insights across clients and projects.
- Review, iterate on, and maintain existing code and analytical outputs to ensure accuracy, reliability, and long-term maintainability.
- Partner with senior data scientists, engineers, strategists, and client teams to deliver measurable impact.
What We’re Looking For
- Extensive experience in Data Science, Machine Learning, applying AI, NLP or related fields.
- BSc and/or advanced degree in Statistics, Physics, Economics, Mathematics, Computer Science, or a related field.
- Strong Python and SQL skills; comfortable working with relational database structures including querying, designing schemas, and building data models; experience with data visualization tools (e.g. PowerBI, Tableau).
- Experience building and deploying ML/NLP solutions in production environments.
- Hands-on experience with LLMs and GenAI platforms (e.g. OpenAI, Anthropic, Azure OpenAI).
- Familiarity with RAG, vector databases, prompt engineering, and AI application development.
- Experience working with cloud platforms (AWS, Azure, or GCP).
- Strong statistical and analytical foundations.
- Strong cross-functional communication skills; able to work across diverse teams, translate between technical and non-technical stakeholders.
Nice to Have
- Experience with Spark, Hadoop, TensorFlow, or large-scale data processing.
- Healthcare, pharmaceutical, or life sciences experience.
- Software engineering and application deployment experience.
Why Join Us?
- Build AI products that are used in real-world healthcare settings.
- Work on cutting-edge GenAI initiatives with significant autonomy.
- Remote-first, flexible working environment.
- Competitive salary, benefits, and private medical insurance.
- Collaborative culture focused on innovation, learning, and impact.
If you’re excited about applying machine learning and generative AI to meaningful healthcare challenges, we’d love to hear from you.
Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
Data Scientist employer: Nucleus Global
Inizio Medical is an exceptional employer, offering a remote-first and flexible working environment that empowers Data Scientists to innovate at the forefront of healthcare analytics. With a strong focus on collaboration and professional growth, employees are encouraged to build impactful AI products while enjoying competitive salaries and comprehensive benefits, including private medical insurance. Join a culture that values diversity and inclusivity, where your contributions can lead to meaningful advancements in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Nucleus Global!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Nucleus Global.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Nucleus Global.
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When you find a suitable opening like Data Scientist at Nucleus Global, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist
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 Nucleus Global, 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 Nucleus Global. 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 Nucleus Global
✨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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Nucleus Global!
✨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.
