At a Glance
- Tasks: Lead data science strategy and innovate solutions for healthcare challenges.
- Company: Join a leading consultancy making a real impact in health and healthcare.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and continuous learning.
- Why this job: Be at the forefront of healthcare innovation and drive meaningful change.
- Qualifications: Experience in data science, cloud deployment, and excellent communication skills.
The predicted salary is between 43200 - 72000 £ per year.
About us 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. 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 The responsibilities and duties of the role will include, but are not limited to:
- 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 visualization 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 team 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 To be successful in this role, you should have a combination of the following skills and experiences:
- 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 cross-functional teams. You actively share your knowledge and seek opportunities to teach others. Able to translate business problems into technical solutions and synthesize 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.
Lead Data Scientist employer: CF
At CF, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the healthcare consultancy sector. Our commitment to employee growth is evident through mentorship opportunities and a flexible hybrid working model, allowing for a healthy work-life balance while driving meaningful change in health and healthcare. With access to unparalleled UK healthcare data and a focus on inclusivity, we empower our team members to thrive and make a lasting impact.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist
✨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. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨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 gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. But don’t just stop there—research CF’s recent projects and think about how your skills can contribute to their goals. Tailor your responses to show you’re the perfect fit for their team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining CF and making an impact in the healthcare sector. Don’t miss out on this opportunity!
We think you need these skills to ace Lead Data Scientist
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 relevant experience in data science, 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! Clearly outline your experience with Python, machine learning, and cloud deployment. We want to see how you can bring innovative solutions to the table.
Communicate Clearly:Remember, we value clear communication! Use straightforward language to explain complex concepts, and make sure your application is easy to read. This will demonstrate your ability to convey ideas effectively.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
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 CF's Mission
Familiarise yourself with CF's goals and values. Knowing how your expertise can contribute to their mission of improving health and healthcare will show that you're genuinely interested and aligned with their vision.
✨Prepare for Technical Questions
Expect technical questions about data privacy, cloud deployment, and statistical techniques. Prepare examples of how you've tackled complex data challenges and be ready to explain your thought process clearly.
✨Showcase Your Collaboration Skills
Since the role involves working with both technical and non-technical teams, be prepared to share examples of how you've successfully collaborated in cross-functional settings. Highlight your communication skills and ability to mentor others.
