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A leading affordable housing provider in the East Midlands is seeking a Data Scientist to drive data analytics and insights. Responsibilities include analyzing complex datasets and presenting findings visually. Candidates should have strong SQL and programming skills, with experience in machine learning frameworks. The role offers a hybrid working model with competitive salary and benefits, plus professional development opportunities.
The vacancy
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)
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.
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.
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 are important to us and we're looking for people who can help live our values of Integrity, Diversity, Openness, Accountability, Clarity and Excellence.
Our generous package includes:
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.
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.
emh is one of the largest providers of affordable homes and care & support services in the East Midlands.
We have more than 20,000 properties in more than 40 local authority areas across the region, and we provide care and support to hundreds more customers.
We employ a wide range of people with a diverse range of skills. What could you bring to our team? Watch our brief video below, to get a flavour of what it is like to work for us.