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- Tasks: Join our team to analyse health data and create impactful reports.
- Company: NEC Software Solutions, a leader in tech for public services.
- Benefits: Enjoy remote work, competitive salary, private medical cover, and 25 days holiday.
- Why this job: Make a real difference in healthcare while developing your data science skills.
- Qualifications: Degree in Data Science or related field; experience with R and SQL required.
- Other info: Great career progression opportunities and access to over 15,000 LinkedIn Learning courses.
The predicted salary is between 30000 - 42000 £ per year.
Come join us and make a difference in the world!
Discover more at www.necsws.com
Job Description
Working within the Health division of NECSWS your duties will feature a mix of maintaining existing applications, regular and bespoke report generation, dashboard creation, documenting code bases, cleansing datasets, identifying data quality issues in large databases, supporting the analytical requirements of clinical steering committees and looking for unique opportunities to deploy machine learning/NLP techniques to health data. The focus of this work will be on data that is held in clinical registries relating to various performance outcomes for patients who have undergone surgery. This role involves working closely with the data science and analytics team to develop new registries and health data reporting procedures to support the work of the NHS and private UK healthcare providers. This is a full-time remote role that may require occasional trips to NECSWS offices.
Key responsibilities include:
- Regularly scheduled and bespoke report generation, including the plotting of charts and statistical analysis of large data sets.
- Taking charge of data cleansing, quality assurance and supporting integration.
- Maintaining and improving existing analytical code bases.
- Writing queries to interrogate and explore existing databases, as well as answer bespoke requests from business consultants and customers.
- Contributing ideas to improve productivity and delivery.
- Liaising with members of the data quality, development, business analyst and data analyst/scientist teams to deliver collaborative outputs
- Building a clinical knowledge base through meeting regularly with clinical steering committees
- Working closely with clinicians to support their reporting and analytical needs
- Documenting project work and establishing logs of all changes made to our code.
- Upskilling and learning new concepts in health data analysis/management.
Qualifications
Mandatory qualifications and experience:
Please note, role can be remote or Hybrid, subject to location.
- Bachelor\’s or Master\’s degree in Data Science, Computer Science, Statistics, or a related quantitative field
- Previous experience in data science or a related field
- Proficiency with R (R Studio) and relevant packages for the purposes of data manipulation/cleaning, report generation, visualisation of data, statistical analysis and modelling
- Proficiency with SQL (Azure) for data manipulation, extract creation and aggregation of data from disparate sources
- Familiarity with software engineering fundamentals including: version control, functional programming, debugging, testing, performance optimisation
- 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)
- The ability to deliver under pressure and without regular supervision
- Proven problem-solving skills and ability to work to deadlines
- Self-motivation and a flexible approach to work
- The ability to thrive in a fast-paced, collaborative team environment
Desirable qualifications and experience:
- Postgraduate degree or professional IT certificate
- Advanced Excel skills, including knowledge of VBA
- Experience working with health data including clinical data registries
- Experience working with ‘unclean’ data and free text
- Experience refactoring analytical codebases
- An interest in the application of machine learning, NLP and AI to solve problems related to health data and patient safety
Training and Career Progression:
We will develop your specific knowledge of health registry data management, report generation and your wider skillset through one-to-one shadowing, practical group training sessions and through online courses on various statistics and the application of relevant coding languages. The potential for career development is fantastic, as we always aim to promote from within our own ranks. There may also be opportunities to move across to different parts of the NEC business where transferable skills permit this.
Additional information
We pride ourselves in offering an excellent benefits package, including an above average pension scheme. When you join the team at NEC Software Solutions, you are provided with the following:
- Private Medical Cover funded by NEC for Employees (with the option to add family members at an additional cost)
- 25 days paid holiday with the option to buy/sell (FTE)
- 4 x basic salary life assurance cover funded by NEC (with the option to increase cover at an additional cost)
- A Group Pension Plan with fantastic employer contributions up to a maximum of 8.5%
- A selection of flexible benefits to suit your individual needs
- All colleagues get free access to LinkedIn Learning. Over 15000 courses covering a huge breadth of subjects. Learn about what you like, when you like, how you like.
OTHER INFORMATION
- Candidates must be able to demonstrate a pre-existing right to work and travel within the UK. Documentary evidence will be required.
- All offers are subject to satisfactory vetting, references and occupational health checks.
- Depending on the nature of the role a Disclosure Barring Service (DBS) check may also be required.
NEC Software Solutions is an equal opportunities employer, welcoming applications from all communities. If you require any reasonable adjustments or have specific accessibility needs during the recruitment or interview process, please feel free to share these with us. We are committed to ensuring an inclusive and accommodating experience for all candidates.
Who We Are:
We’re NEC Software Solutions (part of global tech giant NEC Corporation). While you read this ad, our software is helping to dispatch ambulances, support families, keep trains on the move, locate missing people and even test the hearing of newborn babies.
Working with us, you’ll be helping our 3,000+ employees push the boundaries of what’s possible and support amazing public services.
We work with governments, hospitals, police forces, housing providers, local authorities and more. We help them pay financial support faster, speed up treatments for patients and respond to emergencies in the right way. The more we do, the more our customers can do for others. And together, we make a world of difference.
We’d love your help. And we’ll support you all the way.
Associate Data Scientist employer: NEC Software Solutions
Contact Detail:
NEC Software Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. Use real-life examples from your experience to demonstrate how you can tackle challenges in data science.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company and its projects, and show how your skills align with their needs. We love seeing candidates who are genuinely interested!
✨Tip Number 4
Keep learning and upskilling! Dive into online courses or workshops related to health data analysis or machine learning. This not only boosts your CV but also shows your commitment to growth in the field.
We think you need these skills to ace Associate Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Associate Data Scientist role. Highlight your experience with data manipulation, SQL, and any relevant projects that showcase your skills in health data analysis.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about data science and how you can contribute to our mission. Share specific examples of your work with large datasets and any machine learning techniques you've applied.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in R and SQL! We want to see how you've used these tools in past projects, so include any relevant achievements or challenges you've overcome.
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’s super easy!
How to prepare for a job interview at NEC Software Solutions
✨Know Your Data Tools
Make sure you brush up on your R and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects, especially for data cleansing and report generation. Showing that you can manipulate and analyse data effectively will impress the interviewers.
✨Understand the Health Sector
Familiarise yourself with the basics of health data and clinical registries. Knowing how your role as an Associate Data Scientist fits into the bigger picture of patient outcomes and NHS operations will demonstrate your genuine interest in the position and the impact of your work.
✨Prepare for Technical Questions
Expect technical questions related to statistical analysis and machine learning. Brush up on survival analysis and predictive modelling concepts, and be prepared to explain how you've applied these techniques in real-world scenarios. This will show your problem-solving skills and ability to deliver under pressure.
✨Show Your Collaborative Spirit
Since this role involves working closely with various teams, be ready to share examples of how you've collaborated in the past. Highlight your communication skills and flexibility, as well as any experience you've had liaising with clinicians or stakeholders to meet their analytical needs.