Data Scientist

Laurie McClave artist; Coalville; Hybrid; GBP 43,000 - 48,000; Full time

Job summary

A leading social housing organization in Coalville is seeking a Data Scientist to enhance data analytics in housing services. The role involves analyzing complex datasets to improve decision-making and operational processes. The ideal candidate will have strong SQL and programming skills, with an industry certification in data science required. This position offers a competitive salary, flexible working, and extensive benefits including generous annual leave and development opportunities.

Benefits

Competitive salary

Contributory pension scheme

Health cash plan – BHSF

39 days' annual leave

Flexible working

Training and development opportunities

Qualifications

• Extensive experience of SQL with large databases.
• Proficient in Python, R, or related programming languages.
• Expert in statistical modelling and predictive analytics.

Responsibilities

• Leverage data analytics to improve housing services.
• Work closely with stakeholders to analyse complex data.
• Present data insights through dashboards and visualizations.

Skills

SQL

Python

Data Mining

Statistical Modelling

Machine Learning

Predictive Analytics

Education

Degree or equivalent

Industry certification in data science

Azure certifications

Agile certifications

Job description

Data Scientist - ICT & Digital Services

Based: Hybrid working – during probation you will be required to work 3 days in the office at Memorial House in Coalville and 2 days from home. After a 6-month probation, this will average to 2 days in the office and 3 days from home.

Hours: 35 hours per week, Monday to Friday, 8am–6pm to be agreed with line manager.

Salary: £43,001 - £47,779 per annum (ICT RFJ 7).

The role

We are recruiting 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, 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 delivering 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

We live Integrity, Diversity, Openness, Accountability, Clarity and Excellence in our work.

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.

Additional information

For further information about the role, please see the 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. Your covering letter and CV should be on the same document. We reserve the right to close these vacancies prior to the application deadline once a sufficient number of applications have been received, so early application is recommended. We ask all candidates to evidence their right to work status during the recruitment process. Details on Sponsor Licence holders and eligible sponsorship roles are available from the Houllong sponsor page.