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- Tasks: Lead data science strategy and deliver impactful solutions in healthcare.
- Company: Award-winning consultancy transforming healthcare with data-driven insights.
- Benefits: Generous holiday, flexible working, pension contributions, and wellness options.
- Why this job: Shape the future of healthcare with innovative data solutions and mentorship.
- Qualifications: Strong experience in data science, Python, and cloud platforms.
- Other info: Inclusive culture with excellent career growth and learning opportunities.
The predicted salary is between 43200 - 72000 £ per year.
I'm working with a highly regarded healthcare-focused consultancy that partners with leaders and frontline teams across the UK to improve health outcomes, transform healthcare services, and accelerate innovation across life sciences and health tech. My client operates across the full healthcare ecosystem, supporting healthcare systems, life sciences organisations, health tech businesses, and sector suppliers. Their multi-disciplinary teams deliver end-to-end consulting services spanning strategy, finance, performance improvement, organisational change, and data & digital. They are widely recognised for their evidence-based approach, thought leadership, and ability to turn complex healthcare data into meaningful, real-world impact.
This organisation is values-led, inclusive, and award-winning, with exceptional access to UK healthcare data and deep data science expertise. They are now looking to appoint a Lead Data Scientist to play a pivotal role in shaping their data science capability and impact.
The Role
As Lead Data Scientist, you will be a senior technical leader responsible for driving data science strategy and innovation in line with wider business objectives. You'll lead the design and delivery of data-driven solutions that create measurable impact for clients, improve ways of working internally, and deliver clear value for money. You'll work closely with clients, consultants, engineers, and partner organisations to understand complex requirements and translate them into robust, scalable solutions. Your work will span direct client delivery, enabling consulting teams with data products and insights, and supporting internal corporate initiatives. You'll also provide technical leadership across blended project teams, offering mentorship, quality assurance, and oversight to more junior data scientists. In parallel, you'll contribute to business development through proposal writing, technical input into bids, and helping shape future service offerings. This is a fast-moving, entrepreneurial environment, so adaptability, curiosity, and comfort with evolving priorities are essential. Strong communication skills and a collaborative leadership style are critical, as you'll be working with both technical and non-technical stakeholders at senior levels.
Key Responsibilities
- Data Strategy & Innovation
- Shape and deliver data science solutions aligned to corporate and client strategy
- Identify and apply emerging technologies (AI, ML, advanced analytics) to enhance consulting services
- Partner with clients to understand data challenges and design innovative, high-impact solutions
- Stay ahead of healthcare trends and use data to inform strategic decision-making
- Technical Development & Delivery
- Build and deploy advanced analytics, statistical models, and machine learning solutions
- Ensure solutions are robust, scalable, accurate, and production-ready
- Collaborate with data engineers on scalable pipelines and cloud infrastructure
- Develop data visualisations that clearly communicate insights to non-technical audiences
- Business Development
- Contribute data-led insights to proposals and client pitches
- Support consultants and partners in identifying where data science can add value
- Build trusted relationships with clients and external partners
- Data Operations & Governance
- Ensure compliance with data governance frameworks, GDPR, and healthcare regulations
- Support best practices in data management and ethical data use
- Work closely with information governance teams on secure data access and usage
- Leadership & Knowledge Sharing
- Mentor and support junior data scientists, fostering continuous learning
- Collaborate across consulting and technical teams to embed data science effectively
- Share expertise through internal talks, workshops, and thought leadership
Requirements
Essential Experience
- Strong experience deploying models and software using cloud platforms and containerisation
- Deep understanding of data privacy, governance, and access requirements
- Advanced proficiency in Python and core statistical / machine learning techniques
- Excellent understanding of statistics and analytical best practice
- Experience with relational databases
- Ability to translate business problems into technical solutions and present outputs clearly
- Strong collaboration and communication skills in cross-functional environments
- Confidence choosing appropriate approaches given constraints of data, time, and complexity
- A mindset of knowledge sharing and mentoring
Desirable
- Experience in healthcare or life sciences consulting
- Familiarity with healthcare data standards, sources, and regulatory environments
- Exposure to NLP and advanced AI techniques
- Experience working with big data technologies or frameworks
Working Model & Flexibility
This role follows a hybrid working model, balancing in-person collaboration with remote flexibility to deliver excellent client outcomes. Typically one day per week working from home as standard. An additional allocation of remote working days each year, allowing up to two days per week from home (subject to client needs), or use in blocks for school holidays or personal commitments. Core in-person hours are 10am–4pm, offering flexibility around your wider schedule. Fully remote working available for short periods each year.
Diversity & Inclusion
My client is deeply committed to building an inclusive culture where people are supported to do their best work. All hiring decisions are based solely on skills, experience, and contribution. They are a Disability Confident employer and are happy to make reasonable adjustments throughout the recruitment process.
Benefits (Highlights)
- Generous holiday allowance, increasing with service
- Employer pension contribution of 7%
- Flexible benefits platform (including wellness and lifestyle options)
- Annual leave purchase scheme
- Income protection and enhanced sick pay
- Life insurance (4x salary)
- Enhanced family leave policies
- Interest-free loans (including travel and season ticket options)
- Workplace nursery scheme
- Employee assistance and wellbeing programme
- Flu jabs, eye care, cycle-to-work scheme
- Professional membership subscriptions
- 20% Bonus scheme
Lead Data Scientist in London employer: SR2 | Socially Responsible Recruitment | Certified B CorporationTM
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B CorporationTM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the healthcare and data science sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to healthcare. Use platforms like GitHub to share your code and visualisations. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex data concepts in simple terms, as you'll need to communicate with both technical and non-technical stakeholders. Mock interviews can really help!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Lead Data Scientist role. Plus, it shows you’re genuinely interested in joining our team. Let’s get you started on this exciting journey!
We think you need these skills to ace Lead Data Scientist in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data science, especially in healthcare. We want to see how your skills align with the role and the impact you can make!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Mention your experience with Python, machine learning, and any cloud platforms you've worked with. We love seeing how you can translate complex data into actionable insights.
Highlight Collaboration Experience: Since this role involves working with various teams, share examples of how you've collaborated with both technical and non-technical stakeholders. We value strong communication skills and teamwork!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and get you started on this exciting journey with us!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B CorporationTM
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python and machine learning techniques. Be ready to discuss how you've deployed models and tackled complex data challenges in the past, as this role demands a strong technical foundation.
✨Understand the Healthcare Landscape
Familiarise yourself with current trends in healthcare and life sciences. Knowing how data can drive improvements in health outcomes will show that you're not just technically savvy but also understand the bigger picture of the industry.
✨Show Off Your Communication Skills
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated insights to clients or team members in the past.
✨Be Ready to Collaborate
This role requires a collaborative spirit, so think of examples where you've worked effectively in cross-functional teams. Highlight your experience mentoring junior data scientists and how you've contributed to a positive team environment.
