Data Scientist, Real-World Health Analytics & Insights in London

Data Scientist, Real-World Health Analytics & Insights in London

London Full-Time 60750 - 74250 £ / year (est.) Home office (partial)
Hilo by Aktiia

At a Glance

  • Tasks: Transform large datasets into actionable insights for impactful decision-making.
  • Company: Hilo by Aktiia, a hybrid/remote-first data science team.
  • Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams in a dynamic and innovative setting.
  • Why this job: Make a real difference in health analytics while working autonomously.
  • Qualifications: Experience in data analysis and strong statistical skills.

The predicted salary is between 60750 - 74250 £ per year.

Hilo by Aktiia, a hybrid/remote‑first data science team, seeks a Data Scientist to turn large real‑world and clinical datasets into robust analyses, models, and actionable insights to support scientific publications and informed decision‑making across the company. This is a hands‑on role with autonomy, where you will independently take analytical questions from data preparation through statistical analysis and interpretation, collaborating with clinical, scientific, product, and engineering.

Data Scientist, Real-World Health Analytics & Insights in London employer: Hilo by Aktiia

Hilo by Aktiia is an exceptional employer, offering a remote-first work culture that prioritises flexibility and innovation in the MedTech and healthcare sector. Employees benefit from competitive compensation, comprehensive benefits, and ample opportunities for professional growth while making a meaningful impact on healthcare across Europe. Join us to be part of a team dedicated to transforming lives through cutting-edge technology.

Hilo by Aktiia

Contact Details:

Hilo by Aktiia Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist, Real-World Health Analytics & Insights in London

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 Hilo by Aktiia!

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, Real-World Health Analytics & Insights at Hilo by Aktiia.

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 Hilo by Aktiia.

Apply Directly through Our Website

When you find a suitable opening like Data Scientist, Real-World Health Analytics & Insights at Hilo by Aktiia, 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, Real-World Health Analytics & Insights in London

Data Preparation
Statistical Analysis
Data Interpretation
Analytical Skills
Collaboration
Clinical Data Analysis
Model Development

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 Hilo by Aktiia, 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 Hilo by Aktiia. 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 Hilo by Aktiia

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 Hilo by Aktiia!

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.