Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

Kinetica
Southampton
5 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist | Edtech | £60k to £70k | Global Business

Data Scientist - Hybrid

Data Scientist - Contract

Data Scientist – Remote, UK


About the Company


Our client is a fast-growing organization that is revolutionizing the healthcare industry by leveraging high-quality, deidentified health data to drive improved patient outcomes. They specialize in transforming real-world evidence (RWE) through advanced analytics, uncovering patterns, evaluating treatment effectiveness, and supporting innovative research in healthcare.


They are currently seeking a passionate and skilledData Scientistto join their dynamic team. This is a fantastic opportunity for someone who thrives in a collaborative environment, enjoys solving complex problems, and is motivated by the opportunity to make a real impact in the healthcare sector.


Key Responsibilities


As aData Scientist, you will play a pivotal role in analyzing and interpreting health data to generate meaningful insights that drive decision-making for healthcare providers, researchers, and stakeholders. Your core responsibilities will include:


  • Analyzing and interpreting deidentified health data (e.g., CRF, survey data) collected through the company's data systems to identify trends and actionable insights.
  • Designing and executing Real-World Evidence (RWE) studies, including cohort studies and treatment effectiveness analyses, using R in RStudio.
  • Developing statistical summaries, visualizations, and reports to present complex healthcare data in an easily understandable format for both technical and non-technical stakeholders.
  • Ensuring compliance with relevant health data regulations to protect patient privacy and maintain data integrity.
  • Collaborating with the internal Evidence team, sharing insights, and refining analytical approaches to enhance study outcomes.
  • Contributing to the optimization of data analysis processes by recommending best practices and methodologies to improve efficiency and accuracy.


Experience & Qualifications


The ideal candidate will be a detail-oriented individual with a strong analytical mindset and a deep passion for healthcare data. We are looking for someone with:


  • 2+ years of experience analyzing healthcare data, preferably US-based (e.g., claims data, EHRs, clinical trial data).
  • A degree (or higher) in Data Science, Biostatistics, Epidemiology, or a related field.
  • Proficiency inRfor statistical analysis (experience withRStudiois a plus).
  • Familiarity with data collection systems and a solid understanding of healthcare data structures.
  • Strong communication skills with the ability to translate complex findings into clear and actionable insights for various audiences.


Desired Skills and Qualifications


If you possess any of the following, it would be highly beneficial:


  • Knowledge of health data regulations and data anonymization techniques (e.g., HIPAA).
  • Experience working withSQLor other statistical tools such asPythonorSAS.
  • A background in delivering RWE reports or contributing to published research.


Why Join This Company?


This is an exciting opportunity to work with a forward-thinking, innovative company that is making a tangible difference in healthcare. As part of the team, you’ll contribute to meaningful projects that impact patient care and healthcare outcomes.


In addition to the opportunity to work with cutting-edge data analytics, you will be joining a collaborative and dynamic team of experts. The company offers a flexible, remote work environment and great opportunities for professional growth and development in the field of Real-World Evidence analytics.


If you're passionate about making a difference in healthcare and have the skills to contribute to this mission, we encourage you to apply!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.