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- Tasks: Leverage data analytics to drive insights and improve housing services.
- Company: Join a leading provider of affordable homes in the East Midlands.
- Benefits: Competitive salary, generous leave, flexible working, and extensive training opportunities.
- Why this job: Make a real impact in social housing while developing your data science skills.
- Qualifications: Experience in SQL, Python, R, and machine learning required.
- Other info: Hybrid working model with excellent career growth potential.
The predicted salary is between 37000 - 43000 £ per year.
Data Scientist – ICT & Digital Services
Based: Hybrid working – initially during probationary period you will be required to work 3 days in the office at Memorial House in Coalville with 2 days working from home. Following the 6-month probationary period this will then change to an average of 2 days in the office at Memorial House in Coalville with an average of 3 days working from home.
Hours: 35 hours per week working Monday to Friday between the hours of 8am and 6pm to be agreed with line manager.
Salary: £43,001 – £47,779 per annum (ICT RFJ 7)
The role
We are excited to announce that we are recruiting for a Data Scientist to leverage data analytics, drive insights and improve the quality and efficiency of our 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
We 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.
About us
emh group is one of the largest providers of affordable homes and support services in the East Midlands. We pride ourselves in providing high quality homes and services that contribute to sustainable communities.
Our vision is to be the best social housing and care business in the country, leading the market as service provider and employer.
Our values
Our values are important to us and we\’re looking for people who can help live our values of Integrity, Diversity, Openness, Accountability, Clarity and Excellence.
Company Benefits
Our generous package includes:
- Competitive salary
- Contributory pension scheme
- Health cash plan – BHSF
- 39 days\’ annual leave (including statutory days), increasing to 44 days with length of service (pro-rata for part time)
- Flexible working
- A wide range of training and development opportunities (we are an Investors in People accredited organisation)
Qualifications
Educated to A level. Degree or equivalent is desirable.
Azure certifications and Agile are essential for the role.
For further information about the role, please see attached Job Description and Person Specification.
How to apply
Please send an up- to-date CV with a covering letter of no more than 3 sides of A4, detailing how you meet the requirements of the person specification. (Please note your covering letter and CV will need to be on the same document).
Please note: We reserve the right to close these vacancies prior to the application deadline once a sufficient number of applications have been received, so recommend early application.
We ask all candidates to evidence their right to work status during the recruitment process. Please click here for a list of Sponsor Licence holders in the UK and information on the types of roles that are eligible for sponsorship.
Data Scientist in Coalville employer: emh group
Contact Detail:
emh group 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 current employees at the company on LinkedIn or through mutual connections. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by practising common data science questions. Brush up on your SQL, Python, and machine learning concepts. We want you to feel confident and ready to showcase your skills!
✨Tip Number 3
Showcase your projects! Bring along examples of your work, especially those that demonstrate your ability to analyse complex data sets and present findings clearly. Visuals can make a big impact!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at emh group!
We think you need these skills to ace Data Scientist in Coalville
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with SQL, Python, and any relevant machine learning frameworks. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain how your background in data science aligns with our mission at mh group. Keep it concise and make sure it’s no more than 3 sides of A4, as we want to get to know you without wading through pages.
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your ability to analyse data and drive insights. We love seeing real-world examples of how you've improved processes or outcomes in previous roles!
Apply Early!: Don’t wait until the last minute to submit your application. We might close the vacancy early if we receive enough applications, so get your CV and cover letter in as soon as you can. We’re excited to hear from you!
How to prepare for a job interview at emh group
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools and programming languages mentioned in the job description, like SQL, Python, and R. Brush up on your knowledge of machine learning libraries too, as you might be asked to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Be ready to explain your thought process and the impact your solutions had on decision-making or operational efficiency, especially in the context of social housing.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll need to present complex data to non-technical stakeholders, practice explaining your findings in simple terms. Use visuals or dashboards from your past work to demonstrate how you can make data accessible and actionable.
✨Align with Company Values
Familiarise yourself with the company’s values of Integrity, Diversity, Openness, Accountability, Clarity, and Excellence. Think of examples from your experience that reflect these values, as they’ll likely want to see how you fit into their culture.
