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

Apply Now

Data Scientist

Southampton
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Digital Healthcare

We are excited to partner with an innovative digital healthcare company on a mission to transform how millions of people manage their everyday health. Operating at the intersection of pharmacy, consumer health, and technology, this founder-led scale-up is redefining access to care through remote clinical assessment, digital prescription management, and seamless home delivery services.

Now entering a pivotal growth and scale-up phase, they are expanding their reach across the UK and internationally. To support this, they're building a mission-driven, data-led team, and are looking for a Data Scientist to join at an exciting time of rapid expansion and innovation.

The Opportunity

As the business scales into a multi-therapy, international health tech platform, data will sit at the heart of every decision, from product innovation and marketing to clinical operations and customer experience.

This role offers the chance to build data capabilities from the ground up, working across diverse datasets to develop analytical models, extract insights, and create actionable recommendations that enhance business performance and patient outcomes.

About You

You'll bring strong technical foundations and a strategic mindset, someone who enjoys translating data into decisions and influencing how a company scales.

Skills & Experience:

5+ years in data science or analytics, including ETL experience from GA4/Google Ads and CRM platforms.
Advanced SQL & Python skills.
Experience with dbt (or equivalent) and orchestration tools (Airflow / Cloud Composer).
Proven experience using LLMs (OpenAI, Gemini, Claude, etc.) for analytics and automation.
Strong background in data visualisation (Power BI / Looker / Looker Studio).
Experience with regulated data environments and a disciplined approach to quality and documentation.
Desirable: BigQuery, Snowflake, or Databricks; reverse-ETL tools; marketing attribution methods.Next Steps

If you're a data scientist passionate about using data and making an impact, we would love to hear from you.

Apply now or contact Spectrum IT Recruitment to learn more about this opportunity.

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy

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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.