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- Tasks: Lead a team of data scientists and analysts to drive healthcare data projects.
- Company: Join NEC Software Solutions, a leader in innovative healthcare technology.
- Benefits: Enjoy private medical cover, generous holiday, and flexible benefits tailored to you.
- Why this job: Make a real impact on patient outcomes while developing your skills in a supportive environment.
- Qualifications: Postgraduate degree in a quantitative field and expert R programming skills required.
- Other info: Remote role with opportunities for career growth and collaboration with healthcare professionals.
The predicted salary is between 55000 - 65000 £ per year.
Working within the Healthcare (registries) division of NEC Software Solutions you will oversee a team of data scientists and data analysts (DSA) whose duties include maintaining existing applications, generating regular and bespoke reports, creating dashboards, documenting code bases, cleansing datasets, identifying data quality issues in large databases and supporting the analytical requirements of clinical steering committees.
Your primary responsibilities will be to manage the workload of the team, identify opportunities for team members to upskill, coordinate and standardise report production, contribute to statistical oversight, explore machine learning opportunities, and support development of the DSA team. Data will be held in clinical registries relating to performance outcomes for patients who have undergone surgical or medical interventions. The role involves working closely with data scientists, analysts, clinicians to develop new registries and health data reporting procedures to support NHS and private UK healthcare providers. This is a remote role that may require occasional trips to the head office in Hemel Hempstead or other NEC/NHSE locations in the UK.
Key responsibilities
- Oversee a team of data scientists and data analysts
- Prioritise and schedule competing workloads to meet delivery timelines
- Lead regular updates and 1‑to‑1 meetings with team members
- Liaise with industry and academic partners to align and improve statistical methodology and reporting strategy
- Identify and provide appropriate training opportunities for team members
- Explore real‑world evidence data sets for registry‑specific analytical opportunities
- Coordinate and assist with generation of scheduled and bespoke reports, including chart plotting using standard libraries
- Take charge of data cleansing, quality assurance and integration support
- Contribute ideas to improve productivity and delivery
- Liaise with data quality, development, business analyst and business consultant teams to deliver collaborative outputs
- Build an extensive clinical knowledge base by meeting regularly with clinical steering committees
- Work closely with clinicians to understand and support their reporting and analytical needs
Qualifications
- Postgraduate degree in computer science, statistics, biology or a related quantitative discipline
- Expert R (RStudio) programming skills for manipulation, cleaning, report generation, visualisation, statistical analysis and modelling
- Experience leading a team of data scientists or analysts
- Proficiency with SQL (Azure) for data manipulation, extraction and aggregation from disparate sources
- Proven experience cleansing, processing and managing large data sets
- Proven experience responding creatively to analytical briefs
- Experience with data warehouses and open database connectivity
- Statistical expertise (including survival analysis and predictive modelling)
- Ability to deliver under pressure and without regular supervision
- Proven problem‑solving skills and ability to meet deadlines
- Self‑motivation and a flexible approach to work
- Ability to thrive in a collaborative team environment
- Desirable: experience with health data including clinical data registries
- Desirable: experience with unclean data and free text
- Desirable: interest in applying machine learning, NLP and AI to health data and patient safety
- Desirable: experience using Snowflake/DBT
- Desirable: prompt engineering for GitHub Copilot or equivalent
- Must be able to demonstrate a pre‑existing right to work and travel within the UK
- Role requires UK Security Clearance
Benefits
- Private medical cover funded by NEC for employees, with option to add family members at additional cost
- 25 days paid holiday with option to buy/sell
- 4 × basic salary life assurance cover funded by NEC, with option to increase cover at additional cost
- Group pension plan with employer contributions up to 8.5 %
- Selection of flexible benefits to suit individual needs
Equal Opportunity Employer
NEC Software Solutions is an equal opportunities employer, welcoming applications from all communities. If you require reasonable adjustments or have specific accessibility needs during the recruitment or interview process, please share these with us. We are committed to ensuring an inclusive and accommodating experience for all candidates.
Data Science and Analysis Team Lead in England employer: NEC Software Solutions
Contact Detail:
NEC Software Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science and Analysis Team Lead in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare and data science fields. Attend industry events or 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 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 before they even meet you.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data science and healthcare. Think about how you would handle team management and data quality issues. We recommend doing mock interviews with friends or using online resources to boost your confidence.
✨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 our team at NEC Software Solutions. Don’t forget to tailor your application to highlight your relevant experience!
We think you need these skills to ace Data Science and Analysis Team Lead in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with data science, team leadership, and any relevant healthcare projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background makes you the perfect fit. Don't forget to mention your experience with R and SQL, as these are key for us.
Showcase Your Team Leadership Skills: Since this role involves overseeing a team, make sure to highlight your leadership experience. Share examples of how you've managed workloads, supported team members, and contributed to their professional growth. We love seeing collaboration in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it's super easy!
How to prepare for a job interview at NEC Software Solutions
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you'll be working with. Familiarise yourself with clinical registries and the specific analytical needs of healthcare providers. This will not only show your enthusiasm but also your understanding of the role's context.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led a team in the past. Think about times when you managed workloads, facilitated training, or improved team productivity. Be ready to discuss your approach to mentoring and upskilling team members.
✨Demonstrate Technical Proficiency
Brush up on your R programming and SQL skills. Be prepared to discuss specific projects where you've used these tools for data manipulation, cleansing, and reporting. If possible, bring along examples of dashboards or reports you've created to showcase your capabilities.
✨Engage with Real-World Applications
Think about how machine learning and AI can be applied to health data. Prepare to discuss any relevant experiences or ideas you have for exploring these technologies in the context of clinical data. This will highlight your innovative thinking and alignment with the company's goals.