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- Tasks: Leverage data analytics to drive insights and improve service quality in a public sector organisation.
- Company: Join a large public sector organisation in Coalville with a focus on technology.
- Benefits: Competitive day rate, hybrid working, and a 35-hour week.
- Why this job: Make a real impact by using data to inform decision-making and policy development.
- Qualifications: Industry certifications in data science and experience with social housing data systems preferred.
- Other info: Opportunity to work with advanced analytics and machine learning in a dynamic environment.
The predicted salary is between 40000 - 60000 £ per year.
Competitive day rate (within scope of IR35), hybrid working pattern (2-3 days per week in office), 35-hour week. This post is subject to DBS clearance.
Hays Technology are working in partnership with a large public sector organisation in Coalville to recruit a Data Scientist to join their Technology team on a temporary basis. The successful candidate will focus on leveraging data analytics to drive insights and improve the quality and efficiency of services by cleaning and organising data. This role involves working closely with various stakeholders to extract, analyse, and interpret complex data sets to inform decision-making and policy development.
Principal duties and responsibilities:
- Collect and analyse data from internal systems (tenancy, maintenance, finance) and external sources (e.g. census, public datasets).
- Clean, structure, and validate data to ensure accuracy and usability.
- Build models to forecast housing demand, rent arrears, and maintenance needs.
- Create dashboards and reports to communicate insights to non-technical stakeholders.
- Assess the impact of housing initiatives and recommend improvements.
- Use ML to optimise resource allocation, predict tenant behaviour, and automate processes like arrears risk scoring.
- Maintain data quality, security, and compliance with GDPR and other regulations.
- Work with housing officers and managers to translate operational needs into data-driven solutions.
In order to apply, you must have the following skills and experience:
- Industry certifications in data science or related fields (e.g., Microsoft Certified: Azure Data Scientist, Google Professional Data Engineer) or equivalent experience.
- Experience working as a data scientist, ideally within social housing, public sector, or a related industry.
- Experience working with social housing data systems (e.g., MRI, Northgate, Civica, or Orchard) and the ability to apply advanced analytics to operational challenges in housing (desirable).
- Demonstrated experience in using machine learning, predictive modelling, and statistical analysis to solve real-world problems.
- Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques.
- Strong background in data mining, pattern recognition, and anomaly detection to improve service delivery.
- Proficient in Python, R, or other relevant programming languages used for data science.
- Strong skills in SQL and experience working with large databases and data warehouses.
- Ability to create intuitive and informative visualisations using tools such as Power BI, Tableau, or similar platforms.
- Familiarity with cloud-based data platforms (e.g., Azure, AWS) and deployment of models in a production environment.
If you have the relevant experience and would like to apply, please submit your CV.
Data Scientist in Markfield employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Markfield
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in public sector or social housing. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving machine learning and predictive modelling. This will give potential employers a taste of what you can do and how you can add value to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the specific challenges faced in the public sector. Be ready to discuss how your experience with data systems like MRI or Northgate can help improve service delivery.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Data Scientist in Markfield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data analytics, machine learning, and any relevant certifications. We want to see how your skills align with the job description!
Showcase Your Projects: Include specific projects where you've used data science techniques to solve real-world problems. Whether it's predictive modelling or creating dashboards, we love seeing practical examples of your work!
Keep It Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to emphasise your key achievements. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Hays
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with the types of data the organisation works with, especially in social housing. Brush up on your experience with data cleaning and structuring, as well as any specific systems mentioned in the job description like MRI or Northgate.
✨Showcase Your Technical Skills
Be ready to discuss your proficiency in programming languages like Python or R, and your experience with SQL. Prepare examples of how you've used machine learning or predictive modelling to solve real-world problems, as this will demonstrate your hands-on expertise.
✨Prepare for Stakeholder Communication
Since you'll be working closely with non-technical stakeholders, practice explaining complex data insights in simple terms. Think of examples where you’ve successfully communicated findings through dashboards or reports, and be ready to share these during the interview.
✨Understand Compliance and Data Security
Familiarise yourself with GDPR and other relevant regulations, as maintaining data quality and security is crucial. Be prepared to discuss how you’ve ensured compliance in past roles, which will show that you take data governance seriously.
