At a Glance
- Tasks: Lead data science strategy and innovate solutions to enhance healthcare consulting services.
- Company: Join a leading consultancy dedicated to transforming health and healthcare.
- Benefits: Enjoy flexible working, generous holiday, and a supportive culture focused on diversity.
- Other info: Collaborative environment with opportunities for mentorship and professional growth.
- Why this job: Make a real impact in healthcare by leveraging cutting-edge data science technologies.
- Qualifications: Experience in data science, strong communication skills, and proficiency in Python required.
The predicted salary is between 43200 - 72000 £ 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.
The Lead Data Scientist is a senior technical leader at CF, responsible for driving data science strategy and innovation in line with company goals. The Lead Data Scientist oversees the development and implementation of data-driven solutions that enhance our service offerings and ways of working. They apply evaluation approaches and ensure these solutions deliver quantifiable impact, drive efficiencies and optimise value for money for our clients and for CF.
These solutions are required for our clients directly, for the management consulting team to leverage in their client service delivery, and for the corporate operations of the business. The Lead Data Scientist 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. The Lead Data Scientist also contributes to proposal development, technical bid writing, and resource planning to drive business growth.
Being agile and unfazed by rapidly evolving and emerging priorities will be critical in this role as will being open to new ideas and entrepreneurial to enable CF to grow and capitalise on new opportunities. As a senior member of the CF team, clear communication and strong interpersonal skills are essential, role modelling the leadership behaviours we are committed to at every level of the company. When working with colleagues in CF, clients, suppliers, and people seeking to engage CF, professionalism, kindness, diplomacy and professionalism are essential qualities.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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.
- The 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 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. We enjoy working in person together with clients and colleagues and work where clients need us to be. In supporting flexibility and remote working, 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. Alternatively, you could use your allowance in blocks to manage school holidays or other commitments. Our core in person working hours are from 10am until 4pm allowing you that extra 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 are able to 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 £10,000.
- 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 Program: 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).
Lead Data Scientist in London employer: Carnall Farrar
Contact Detail:
Carnall Farrar 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. Attend industry events, webinars, or even local meetups. The more connections we make, the better our 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 work. This gives potential employers a taste of what we can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We should also be ready to discuss how we can apply emerging technologies like AI and machine learning to solve real-world healthcare challenges.
✨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
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 solutions, especially in healthcare, and show how your skills align with CF's goals.
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Mention your proficiency in Python, machine learning, and any cloud services you've used. We want to see how you can bring innovative solutions to our team.
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, you’ll find all the details you need about the role and our company!
How to prepare for a job interview at Carnall Farrar
✨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially around machine learning algorithms and statistical techniques. Be ready to discuss how you've applied these in real-world scenarios, particularly in healthcare settings.
✨Showcase Your Collaboration Skills
Since the role involves working with both technical and non-technical teams, prepare examples that highlight your ability to communicate complex ideas clearly. Think of times when you’ve successfully collaborated with clients or cross-functional teams.
✨Stay Ahead of Trends
Research current trends in healthcare data and technology. Be prepared to discuss how emerging technologies like AI can enhance consulting services. This shows you're proactive and aligned with CF's mission to drive innovation.
✨Prepare for Scenario Questions
Expect scenario-based questions where you'll need to demonstrate your problem-solving skills. Think about challenges you've faced in previous roles and how you overcame them, especially in relation to data strategy and implementation.