Lead Data Scientist in London
Lead Data Scientist

Lead Data Scientist in London

London Full-Time 43200 - 72000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data science strategy and innovate solutions to enhance healthcare consulting services.
  • Company: Join a leading consultancy making a real impact in health and healthcare.
  • Benefits: Enjoy flexible working, generous holiday, and a supportive culture focused on diversity.
  • Why this job: Be at the forefront of healthcare innovation and drive meaningful change with data.
  • Qualifications: Experience in data science, cloud deployment, and excellent communication skills required.
  • Other info: Collaborative environment with opportunities for mentorship and professional growth.

The predicted salary is between 43200 - 72000 ÂŁ per year.

CF is a leading consultancy dedicated to making a lasting impact on health and healthcare. We work with leaders and frontline teams to improve health, transform healthcare, embed life science innovation and boost growth through investment. Our consultancy serves the entire healthcare sector, from healthcare systems and life sciences to health tech and sector suppliers. CF’s multi‑disciplinary team provides end‑to‑end services, spanning strategy, finance, performance, organisational improvement, data and digital. We also create optimal policy conditions for healthcare advancements through evidence‑based thought leadership, taking a proactive stance on key issues.

As an inclusive and values‑driven organisation, we are committed to excellence and are honoured to have received multiple industry awards. With unmatched access to UK healthcare data and specialist data science expertise, our consultants are a driving force for delivering positive and meaningful change.

About The Role

The Lead Data Scientist is a senior technical leader at CF, responsible for driving data science strategy and innovation in line with company goals. They oversee the development and implementation of data‑driven solutions that enhance our service offerings and ways of working, ensuring these solutions deliver quantifiable impact, drive efficiencies and optimise value for money for our clients and for CF. The role collaborates with clients, CF team members (both technical and non‑technical), and partner organisations to understand requirements and develop highly effective solutions.

The Lead Data Scientist leads and manages technical components of blended projects, offering oversight, mentorship and quality assurance to junior employees in the Data Innovation team. They proactively identify and solve challenges in client projects and corporate initiatives while supporting business‑development efforts relating to technical services, including proposal development, technical bid writing and resource planning.

Agility, openness to new ideas and an entrepreneurial mindset are critical to enable CF to grow and capitalise on new opportunities. Clear communication and strong interpersonal skills are essential, modelling the leadership behaviours we are committed to at every level of the company. Professionalism, kindness, diplomacy and respect are essential qualities when working with colleagues in CF, clients, suppliers and others seeking to engage CF.

Responsibilities

  • Data Strategy and Innovation
    • Work with the Data Innovation Team to develop and implement data science solutions that align with CF’s corporate strategy.
    • Identify and apply emerging technologies, such as AI and machine learning, to enhance our consulting services and drive business growth.
    • Collaborate with clients to understand their data challenges and develop innovative solutions to address their needs.
    • Stay ahead of healthcare sector trends and leverage data to provide insights that support strategic decision‑making.
  • Technical Development and Implementation
    • Develop and deploy advanced analytics models, including machine learning algorithms and statistical techniques, to solve complex healthcare challenges.
    • Ensure the robustness, scalability, and accuracy of data models and solutions.
    • Work with data engineers to design and maintain scalable data pipelines and infrastructure.
    • Develop and maintain data visualisation tools to communicate insights effectively to non‑technical stakeholders.
  • Business Development
    • Support business development activities by providing data‑driven insights and contributing to proposals and client pitches.
    • Work with Partners and consultants to identify opportunities where data science can add value to our clients.
    • Develop and maintain relationships with key stakeholders, including clients and industry partners, to advance CF’s data capabilities.
  • Data Operations and Governance
    • Ensure compliance with data governance policies and industry regulations, including GDPR and healthcare‑specific standards.
    • Contribute to the development and maintenance of data management processes and best practices.
    • Work alongside information governance teams to ensure safe and ethical use of healthcare data.
  • Team Collaboration and Knowledge Sharing
    • Collaborate with consulting and technical teams to integrate data science into client projects effectively.
    • Provide mentorship and guidance to junior data scientists, fostering a culture of continuous learning and improvement.
    • Share knowledge and insights across CF through presentations, workshops, and thought leadership initiatives.

Requirements

Mandatory Experience

  • Experience of containerisation and cloud deployment of models and software.
  • Knowledge and understanding of data privacy issues and requirements to enable data access.
  • Excellent communication and collaboration skills, with the ability to work effectively in a cross‑functional team.
  • You actively share your knowledge and seek opportunities to teach others.
  • Able to translate business problems into technical solutions and synthesise outputs in client‑friendly language and visualisations.
  • Proficient in Python and an excellent command of the standard algorithmic and statistical toolkit for data science.
  • Knowledge of when to deploy a particular approach given the constraints of time, data, team and technical complexity.
  • Experience using cloud services and containerisation.
  • Proficiency using relational database systems.
  • Excellent understanding of statistics.

Preferred Experience

  • Experience working in healthcare or life sciences consulting.
  • Familiarity with healthcare data sources, standards, and regulatory requirements.
  • Knowledge of natural language processing and AI techniques.
  • Experience with big data technologies and frameworks.

Flexible Working

We follow a hybrid working model that balances in‑person connections and remote work to drive exceptional client impact. Team members can work from home one day per week as standard. Additionally, we offer 44 remote working days per year, which can be used to top up your working from home days and enable you to work from home up to two days per week – subject to client needs. Our core in‑person working hours are from 10 am until 4 pm, allowing you the flexibility to manage your schedule in a way that works for you.

Our Commitment to Diversity & Inclusion

We are committed to building an inclusive and supportive culture where diversity thrives, and all our people can excel. We only recruit, promote and reward our people based on their skills and contributions, without regard to gender, race, disability, religion, nationality, ethnicity, sexual orientation, age, marital status or other characteristics. We are Disability Confident Accredited, and we want you to feel comfortable and able to perform at your best during the recruitment process. If you require any reasonable adjustments, please let us know.

Benefits

  • Holiday entitlement: 25 days / year for staff and 30 days / year for leadership, increasing by 1 day for every year of service up to a maximum of 35 days of holiday per year.
  • We contribute 7 % of your salary into your pension, while you contribute 3 % (or more if you like).
  • Access to a flexible benefits programme giving you the chance to increase pension contributions, gain access to a cash plan or benefit from a ClassPass subscription.
  • Annual leave purchase: employees with less than 35 days annual leave entitlement can purchase additional annual leave days.
  • Income protection: in the event of long‑term incapacity and a qualifying claim, 75 % of salary will be paid.
  • Enhanced sick pay benefit beyond Statutory Sick Pay for up to a total of 12 weeks in any 12‑month period.
  • Life insurance covering four times your basic salary in a tax‑free lump sum payable to your beneficiaries in the event of your death whilst in service.
  • Enhanced family leave policies: additional pay for parents who have a baby or adopt.
  • Access to an interest‑free loan of up to ÂŁ10 000.
  • Access to an interest‑free season ticket loan, repayable by 12 monthly instalments.
  • Workplace nursery scheme: access to a scheme to help working parents save tax and NI on the cost of the nursery care.
  • Flexible working policy: including the ability to work fully remotely for up to 4 weeks a year.
  • An employee assistance and wellness programme: including access to telephone counselling, life coaching, interactive tools online and digital content downloadable from Lifeworks.
  • Seasonal flu jabs: provided by Boots annually.
  • Eye care tests: vouchers and discounts at Vision Express.
  • Ride‑to‑work scheme, saving up to 42 % on bikes and cycling accessories at Evans Cycles.
  • Membership to the Health Service Journal (HSJ).

Seniority Level: Mid‑Senior level

Employment Type: Full‑time

Job Function: Information Technology

Industry: IT Services and IT Consulting

Lead Data Scientist in London employer: CF

CF is an exceptional employer that prioritises a culture of inclusivity and professional growth, making it an ideal place for a Lead Data Scientist to thrive. With a commitment to excellence and a flexible working model, employees enjoy generous holiday entitlements, comprehensive benefits, and opportunities for mentorship and collaboration within a multi-disciplinary team dedicated to transforming healthcare. The company's access to extensive UK healthcare data and focus on innovation ensures that team members can make a meaningful impact while advancing their careers in a supportive environment.
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Contact Detail:

CF 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 your connections in the healthcare and data science sectors. Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that Lead Data Scientist role!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those relevant to healthcare. Use platforms like GitHub to share your code and visualisations. This will give potential employers a taste of what you can bring to the table.

✨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 effectively with both technical and non-technical stakeholders at CF.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at CF and making a difference in healthcare.

We think you need these skills to ace Lead Data Scientist in London

Data Science Strategy
Machine Learning
Statistical Techniques
Data Visualisation
Cloud Deployment
Containerisation
Data Privacy Compliance
Python Programming
Relational Database Systems
Natural Language Processing
Big Data Technologies
Cross-Functional Collaboration
Mentorship and Guidance
Communication Skills
Problem-Solving

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Lead Data Scientist role. Highlight your experience with data science, especially in healthcare, and show how your skills align with CF's mission to improve health and healthcare.

Showcase Your Technical Skills: Don’t hold back on your technical prowess! Clearly outline your proficiency in Python, machine learning, and any relevant cloud services. We want to see how you can bring innovative data solutions to the table.

Communicate Clearly: Remember, we value clear communication. Use straightforward language to explain complex concepts and ensure your application is easy to read. This will demonstrate your ability to translate technical jargon into client-friendly terms.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows us you’re keen on joining our team at CF!

How to prepare for a job interview at CF

✨Know Your Data Science Stuff

Make sure you brush up on your data science skills, especially in Python and machine learning algorithms. Be ready to discuss how you've applied these in real-world scenarios, particularly in healthcare or life sciences.

✨Understand the Company’s Mission

CF is all about making a positive impact on health and healthcare. Familiarise yourself with their projects and values, and think about how your experience aligns with their goals. This will show that you're genuinely interested in the role.

✨Prepare for Technical Questions

Expect to dive deep into technical discussions. Be prepared to explain your approach to data privacy issues, cloud deployment, and how you ensure the robustness of your models. Use examples from your past work to illustrate your points.

✨Showcase Your Collaboration Skills

Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with non-technical stakeholders. Highlight your communication skills and how you translate complex data insights into client-friendly language.

Lead Data Scientist in London
CF
Location: London

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