Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: As a Data Scientist, you'll analyse data to enhance housing services and support decision-making.
- Company: Join a thriving social housing organisation in Leicester, dedicated to community support and growth.
- Benefits: Enjoy flexible hybrid working, professional development opportunities, and a supportive team culture.
- Why this job: Make a real impact on housing services while developing your skills in a rewarding environment.
- Qualifications: Strong data analysis background with skills in SQL, Python, R, and experience in predictive modelling.
- Other info: Ideal for proactive problem-solvers passionate about data and social impact.
The predicted salary is between 28800 - 48000 £ per year.
Your new company is a social housing organisation based in Leicester, a successful and growing provider of housing and complementary support services located in the East Midlands region. This organisation offers a challenging and rewarding environment that encourages professional development.
Your new role involves leveraging data analytics to drive insights and improve the quality and efficiency of housing services by cleaning and organising data. This role requires working closely with various stakeholders to extract, analyse, and interpret complex data sets to inform decision-making and policy development.
What you'll need to succeed:
- Strong background in data analysis, statistics, or data science.
- Proficiency in tools such as SQL, Python, R, and Power BI or Tableau.
- Experience with predictive modelling and machine learning techniques.
- Excellent communication skills and the ability to translate technical insights into practical actions.
- Knowledge of housing systems and public sector data (desirable).
- A proactive, problem-solving mindset with a commitment to continuous improvement.
What you'll get in return:
- A flexible hybrid working model.
- A supportive and inclusive work environment.
Data Scientist employer: Hays DT - Midlands
Contact Detail:
Hays DT - Midlands Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, like SQL, Python, and Power BI. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas.
✨Tip Number 2
Network with professionals in the housing sector or data science community. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the challenges they face, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data analytics to drive insights. Think about specific projects where your work led to measurable improvements, as this will demonstrate your ability to translate technical skills into practical outcomes.
✨Tip Number 4
Research the social housing organisation's mission and values. Understanding their goals will allow you to align your answers during interviews and show how your proactive mindset and commitment to continuous improvement can contribute to their success.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, statistics, and any relevant tools like SQL, Python, or R. Use specific examples that demonstrate your skills in predictive modelling and machine learning.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about working with a social housing organisation. Mention how your skills can contribute to improving housing services and your commitment to continuous improvement.
Showcase Communication Skills: Since excellent communication is key for this role, provide examples in your application of how you've successfully translated complex data insights into actionable recommendations for stakeholders.
Highlight Relevant Experience: If you have knowledge of housing systems or public sector data, make sure to include this in your application. It can set you apart from other candidates and show your understanding of the sector.
How to prepare for a job interview at Hays DT - Midlands
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL, Python, R, and data visualisation tools like Power BI or Tableau. Bring examples of past projects where you used these tools to solve real-world problems, as this will demonstrate your hands-on experience.
✨Understand the Housing Sector
Familiarise yourself with the social housing sector and the specific challenges it faces. This knowledge will help you relate your data science skills to the organisation's goals and show that you're genuinely interested in their mission.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. The ability to translate technical jargon into actionable insights is crucial, especially when working with stakeholders who may not have a technical background.
✨Demonstrate Problem-Solving Skills
Prepare to discuss specific instances where you've tackled data-related challenges. Highlight your proactive approach and commitment to continuous improvement, as these qualities are highly valued in a data scientist role.
