Data Science Consultant - Health

Xpertise Recruitment
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Science Consultant

Data Science Consultant

Data Science Consultant — Hybrid, Client‑Facing Analytics

Data Science Consultant — Hybrid & Impactful

Data Science Consultant - Gen-AI

Data Science Consultant - Health

Join to apply for the Data Science Consultant - Health role at Xpertise Recruitment

Join to apply for the Data Science Consultant - Health role at Xpertise Recruitment

This range is provided by Xpertise Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Xpertise Recruitment

Partner - Executive Search - Data & Technology - Xpertise Search

Join a Global Leader in Health-Tech as Data Science Consultant!

Our client, a world-leading data science and AI consultancy, is seeking a talented Data Science Consultant to join their London Health practice. If you're passionate about driving impactful healthcare solutions through advanced analytics, this is your opportunity to shine!

Role: Data Science Consultant | Health Location: London (Hybrid: 3 days in office, 2 days remote) Salary: £50,000-£65,000 base + bonus

Your Impact:

  • Deliver high-quality analytical solutions, from data preparation to actionable insights
  • Translate complex data findings into clear, compelling narratives for executive stakeholders
  • Develop impactful presentations that connect analytics to business needs
  • Manage and delegate technical tasks to ensure project excellence
  • Support business development by showcasing analytical capabilities to clients
  • Stay ahead of healthcare trends and AI applications to enhance solution design

What You'll Bring:

  • 3+ years in a hybrid analytics and consulting role, ideally in healthcare
  • Strong skills in data preparation, feature engineering, and model development
  • Proficiency in SQL, Python, R, or similar languages
  • Ability to create clear, engaging data visualisations for non-technical audiences
  • Experience managing stakeholders and delivering in fast-paced, deadline-driven settings
  • Knowledge of the UK healthcare landscape and its challenges
  • A degree in engineering, mathematics, statistics, or a related field

Why Join?

  • Shape healthcare outcomes with cutting-edge AI and analytics
  • Enjoy a flexible hybrid model and up to 2 months of remote work annually
  • Access private medical insurance for prompt, personalised care
  • Thrive in a diverse, inclusive environment that champions your career growth

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionConsulting
  • IndustriesTechnology, Information and Internet and Technology, Information and Media

Referrals increase your chances of interviewing at Xpertise Recruitment by 2x

Get notified about new Data Science Specialist jobs in London, England, United Kingdom.

Contractor Specialist Recruiter as Guest Facilitator (Workshops, Panels, etc.)

London, England, United Kingdom 2 days ago

Principal Data Science Consultant – Gen AI Specialist

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

Public Health Engineer or Senior Public Health Engineer

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 11 hours ago

Operations Director - Professional Services SME

Isleworth, England, United Kingdom 1 week ago

Benefits and Rewards Specialist - 1 year FTC

Thames Ditton, England, United Kingdom 2 weeks ago

Director - Commercial & Pricing Strategy - TMT or Industrials / Manufacturing AdvisoryHead of Pricing & Performance Insight – Commercial Underwriting

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 month ago

Head of Pricing & Performance Insight – Commercial Underwriting

London, England, United Kingdom 1 week ago

Senior Editor, Fashion Buying (Fixed-Term)

London, England, United Kingdom 2 days ago

S/4 Finance Transformation Manager/Senior Manager

London, England, United Kingdom 2 weeks ago

Pharmaceutical Engineering - KTP Associate

Harlow, England, United Kingdom 2 weeks ago

Enfield, England, United Kingdom 3 days ago

Defence Children Services (DCS)-Teacher of Science (with Biology KS5)- King Richard School(KRS)

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 2 weeks ago

Higher Scientific Officer - Proteomics Core FacilityAssociate or Senior Associate - MEP - Science & Research

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 weeks ago

Enfield, England, United Kingdom 3 days ago

London, England, United Kingdom 3 days ago

Principal or Associate Mechanical Engineer

London, England, United Kingdom 1 week ago

Feltham, England, United Kingdom 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.