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
CF is an exceptional employer that prioritises employee experience and growth, offering a supportive work culture where you can thrive in your role as a People Operations Specialist. With a hybrid working model, you will enjoy flexibility while contributing to a diverse team dedicated to enhancing HR processes and data integrity. The company fosters continuous learning and development, ensuring that every employee has the opportunity to advance their career in a meaningful way.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like CF!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Scientist at CF.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like CF.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Scientist at CF, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at CF, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CF. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CF
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at CF!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
