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- Tasks: As a Data Scientist, you'll analyse complex data to enhance housing services and inform decision-making.
- Company: Join one of the largest providers of affordable homes in the East Midlands, committed to community sustainability.
- Benefits: Enjoy a competitive salary, 34 days leave, flexible working, and extensive training opportunities.
- Why this job: Make a real impact in social housing while working in a supportive and values-driven environment.
- Qualifications: You need experience in SQL, Python or R, and a background in data science with relevant certifications.
- Other info: This is a hybrid role, offering a blend of remote and office work.
The predicted salary is between 36000 - 60000 £ per year.
About us
Our client is one of the largest providers of affordable homes and support services in the East Midlands. They pride themselves in providing high quality homes and services that contribute to sustainable communities. Their vision is to be the best social housing and care business in the country, leading the market as service provider and employer.
Their values are important to them and they are looking for people who can help live their values of Integrity, Diversity, Openness, Accountability, Clarity and Excellence.
The role
They are really excited to announce that they are recruiting for a Data Scientist to leverage data analytics, drive insights and improve the quality and efficiency of their housing services! The successful candidate will work closely with various stakeholders to extract, analyse and interpret complex data sets to inform decision-making and policy development. Reporting to the Insights Manager, you will present complex data using dashboards, visualisations and reports, ensuring accessibility to non-technical stakeholders. You will analyse the effectiveness of housing initiatives, schemes, and operational processes, offering recommendations for performance improvement.
About you
They are looking for a Data Scientist with a good understanding of the social housing sector. You will have extensive experience of SQL along with experience working with large databases and data warehouses. You’ll be proficient in Python, R, or other relevant programming languages and have experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). With a background in data mining and pattern recognition you’ll be an expert in statistical modelling, predictive analytics and regression techniques. An industry certification in data science or a related field is required.
Company Benefits
- Competitive salary
- 34 days annual leave (including statutory days), increasing with length of service (pro-rata for part time)
- Contributory pension scheme
- Flexible working
- A wide range of training and development opportunities (we are an Investors in People accredited organisation)
For further information, please find attached the Job Description. They reserve the right depending on application numbers to close or extend the closing dates for positions, they would therefore recommend an early application. Please note: They do not hold a sponsorship licence and would not be able to support sponsorship on any of their roles.
Data Scientist employer: Iris
Contact Detail:
Iris Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the social housing sector. Understanding the specific challenges and opportunities within this field will help you tailor your discussions and demonstrate your genuine interest during interviews.
✨Tip Number 2
Brush up on your SQL skills and be prepared to discuss your experience with large databases. You might be asked to solve a problem or analyse a dataset on the spot, so practice common SQL queries and data manipulation techniques.
✨Tip Number 3
Showcase your proficiency in Python or R by preparing examples of past projects where you've used these languages for data analysis or machine learning. Be ready to explain your thought process and the impact of your work.
✨Tip Number 4
Prepare to discuss how you can present complex data to non-technical stakeholders. Think of ways to simplify your findings and create visualisations that make your insights accessible and actionable for decision-makers.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the key responsibilities and required skills for the Data Scientist position. Tailor your application to highlight how your experience aligns with their needs.
Highlight Relevant Experience: Emphasise your experience with SQL, Python, R, and any machine learning frameworks you have worked with. Provide specific examples of projects where you used these skills to drive insights or improve processes.
Showcase Your Understanding of the Sector: Demonstrate your knowledge of the social housing sector in your application. Mention any relevant experience or understanding of how data analytics can enhance housing services.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for data science and your alignment with the company's values of Integrity, Diversity, Openness, Accountability, Clarity, and Excellence. Make it personal and engaging to stand out.
How to prepare for a job interview at Iris
✨Understand the Company Values
Before your interview, make sure you familiarise yourself with the company's values: Integrity, Diversity, Openness, Accountability, Clarity, and Excellence. Be prepared to discuss how your personal values align with theirs and provide examples from your past experiences that demonstrate these qualities.
✨Showcase Your Technical Skills
As a Data Scientist, you'll need to highlight your proficiency in SQL, Python, R, and machine learning frameworks. Prepare specific examples of projects where you've successfully used these skills, and be ready to discuss the challenges you faced and how you overcame them.
✨Prepare for Data Interpretation Questions
Expect questions that assess your ability to analyse and interpret complex data sets. Brush up on statistical modelling, predictive analytics, and regression techniques. You might be asked to explain your thought process when analysing data or to present findings in a way that's accessible to non-technical stakeholders.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask insightful questions about the role and the company. Inquire about their current data initiatives, the tools they use, or how they measure the success of their housing services. This shows your genuine interest in the position and helps you determine if it's the right fit for you.
