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- Tasks: Leverage data analytics to drive insights and improve service quality.
- Company: Join a large public sector organisation in Coalville with a collaborative tech team.
- Benefits: Enjoy a competitive salary, flexible working, 39 days annual leave, and a good pension scheme.
- Why this job: Make a real impact by using data to inform decision-making and policy development.
- Qualifications: Experience in data science, machine learning, and proficiency in Python or R required.
- Other info: Dynamic role with opportunities for professional growth and development.
The predicted salary is between 37000 - 44000 £ per year.
£43,001 - £47,779 per annum, flexible hybrid working pattern (2 days per week in office), 35-hour week, 39 days annual leave (including statutory days), good pension scheme and other generous benefits. 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 permanent 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 (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.
- 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 Coalville employer: hays-gcj-v4-pd-online
Contact Detail:
hays-gcj-v4-pd-online Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Coalville
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, models, and visualisations. This is your chance to demonstrate your expertise in Python, R, and SQL, and how you've tackled real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with machine learning and predictive modelling, and how you can apply these to improve services in the public sector.
✨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 about their job search!
We think you need these skills to ace Data Scientist in Coalville
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your data science certifications and any relevant projects you've worked on that align with the role.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python, R, SQL, and any data visualisation tools like Power BI or Tableau. We want to see how you can leverage these skills to drive insights and improve services.
Be Clear and Concise: When writing your application, keep it straightforward. Use bullet points for your achievements and responsibilities to make it easy for us to read and understand your experience.
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 this exciting opportunity!
How to prepare for a job interview at hays-gcj-v4-pd-online
✨Know Your Data Inside Out
As a Data Scientist, you'll be expected to have a solid grasp of data analytics. Brush up on your knowledge of data cleaning, structuring, and validation techniques. Be ready to discuss specific examples from your past work where you successfully transformed raw data into actionable insights.
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in programming languages like Python or R, as well as your experience with SQL. Prepare to discuss any relevant projects where you've used machine learning or predictive modelling to solve real-world problems, especially in the context of social housing or public sector.
✨Prepare for Stakeholder Communication
Since this role involves working closely with non-technical stakeholders, practice explaining complex data concepts in simple terms. Think of ways to present your findings using visualisation tools like Power BI or Tableau, and be ready to share how you've communicated insights effectively in previous roles.
✨Understand the Bigger Picture
Familiarise yourself with the organisation's mission and how data science can drive improvements in service delivery. Be prepared to discuss how your skills can contribute to their goals, particularly in optimising resource allocation and enhancing tenant experiences through data-driven solutions.
