Data Scientist

Coalville
1 month ago
Applications closed

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Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - London

Data Scientist | London | AI-Powered SaaS Company

Data Scientist
Coalville (Hybrid working)
£43,001 - £47,779 per annum
Permanent
Full time (35 hours per week)
About us
Emh 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.
The role
We are really 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.
Company Benefits
Our generous package includes:

  • 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.
    We reserve the right depending on application numbers to close or extend the closing dates for positions, we would therefore recommend an early application
    Please note: We do not hold a sponsorship licence and would not be able to support sponsorship on any of our roles

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