Advanced Data Analytics - Health & Life Sciences

Company Overview

We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer‑centric service design and agile engineering practices to accelerate innovation in a tech‑driven world.

• Join our Digital & Data team working alongside product, design and a wide range of other experts and cross‑disciplinary teams to bring ideas to life through innovative software solutions.
• Grow a flexible and unique career within a trust‑based, inclusive environment that values excellence, innovation and curiosity. You have the option to progress with us on a technical career track – no need to go onto the Partner career track if this doesn’t align with what you want to do.
• Hybrid working – our approach is to be in the office or on client site a minimum of 2 days per week.
• Work on a broad variety of projects and tech stacks for clients across seven sectors – no project is ever the same.
• Join other experts within our supportive and collaborative tech community through knowledge‑sharing and peer‑level support, coaching and mentoring.
• Deepen your expertise through our culture of learning and growth – you’ll have budget to take courses (technical and non‑technical training) and gain certifications.

• Azure
• SQL
• Excel
• Python

In the UK our healthcare experts work extensively with individual trusts, Integrated Care Systems, NHS England, DHSC and other ALBs. Our primary areas of focus are:

• Operational and financial productivity
• Acute care collaboration
• Organisational PMO design and deployment
• System financial modelling

We are seeking an experienced Health Data Science consultant to join our team. The ideal candidate will have a strong background in data science and mathematical modelling, with a focus on using advanced analytics techniques to support data‑centric decision‑making in healthcare organisations, particularly hospitals.

• To become a key member of our healthcare team, delivering the data components of impactful programmes of work to support improvement in healthcare services.
• To work to agile best practices in cross‑functional teams of experts. You’ll be using your technical skills to problem‑solve with our clients, as well as working on internal projects.
• Hybrid working with the team on client site or in our office a minimum of two days per week; the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site.
• To use a range of different tools and technologies depending on the specific task. These include:
  Databricks, Python, PySpark, R, Excel, Palantir Foundry, SQL and Power
  
  BI.

• A degree, Masters or PhD from a leading university in data science, mathematics, operational research, physics or statistics.
• Experience of conducting analysis for evidence‑based decision‑making, designing and developing models and conducting analysis to support data‑centric decision‑making.
• Experience working with clients to translate business needs into analytical approaches and solutions, and strong ability to communicate approaches and findings to technical and non‑technical audiences.
• Experience working across the full analytics and modelling lifecycle – problem formulation, exploratory data analysis, model design, build, testing and handover.
• Experience working with common tools like Python, SQL, Excel and data visualisation solutions for modelling and analysis.
• Experience of leading and delivering solutions that involved one or more of the following specialisms: advanced analytics and data science, algorithm design and development, developing operational research models, data engineering, big data and Cloud platforms, data visualisation or dashboard development.
• A genuine affinity for problem‑solving – an inquisitive mind who wants to solve the trickiest challenges whilst working with incredible colleagues.

• Excellent stakeholder management, project management and communication skills. Experience working in or providing consulting and advisory…