Job Title: Associate Data Scientist 
Contract Type: Permanent 
Salary: £29,915 (£33,00 is achieved after 12 months successful performance in the role)
Working Hours: 35 hours per week, full time 
Working Pattern: Monday – Friday, Hybrid 
Location: Liverpool, Speke, Estuary Boulevard

If you share our values and are excited about making a significant impact at Riverside, please ensure you attach a current CV and covering letter. At Riverside we recruit to potential not just on skills and experience, so we encourage you to apply even if you don't meet all the essential criteria on the job description.

The difference you will make as an Associate Data Scientist 

To support in the identification and delivery of opportunities to use data and analytics to improve Riverside’s performance. 

About you

We are looking for someone who 

• Knowledge of a range of analytics techniques such as data/text mining, feature engineering, forecasting, time series analysis, sentiment analysis, predictive analytics, segmentation/clustering
• Experience presenting complex analysis to a non-technical audience – written and verbal
• Knowledge of data warehouse design principles
• Experience of extracting and manipulating data, e.g. creating SQL Tables and Views
• Experience using Python, R or similar tools

Why Riverside?

One Housing is part of Riverside, we’re a housing association with a difference – enhancing the everyday for all our customers. For 90 years, we’ve been revitalising neighbourhoods and supporting communities by providing the homes they need to live full, fulfilling and rewarding lives. 

We have a portfolio of over 75,000 affordable residential and retirement homes across the UK. Our work ranges from homelessness services to social care, employment support to retirement living, and we need the best people on board to help us.

Working with us, you’ll enjoy:

• Competitive pay & generous pension 
• 28 days holidays plus bank holidays
• Flexible working options available
• Investment in your learning, personal development and technology
• A wide range of benefits

Diversity and Inclusion at Riverside: 

We are inclusive. At Riverside, we value diversity in all its forms. We foster a workplace where all individuals are respected, empowered, and heard. Our commitment to inclusivity drives our success and enriches the lives of our customers and colleagues. 

Riverside is a Disability Confident Employer and operates a Guaranteed Interview Scheme for any applicant who declares they have a disability. If the applicant meets the minimum requirements for the role (as set out in the role profile and/or person specification) they will be guaranteed an interview.

Applications may close before the deadline, so please apply early to avoid disappointment.

Role Profile 

• Support Data Analysts to identify opportunities to use data and analytics (data use cases) to drive improved business performance
• Assist in validating these use cases, calculating potential returns on investment
• Assist in breaking down these use cases into smaller releases
• Execute analysis to deliver prioritised use cases, utilising a range of analytics techniques, data manipulation tools, and internal & external data sources
• Ensure that benefits are tracked from the use cases delivered
• Identify opportunities to enhance Riverside’s overall dataset with additional sources
• Identify opportunities to deploy advanced analytics techniques to the benefit of the group’s customers and business operations
• Support the data warehouse squad in ensuring that their delivery plan supports prioritised data use cases
• Supported by the Information Services team, develop your capabilities in analytics, stakeholder management and business knowledge so that you are ready to move into a Data Analyst role
• Help to raise the whole Information Services team’s understanding of advanced analytics via knowledge share and collaborative working
• Ensure that all data protection and health & safety requirements are met in accordance with the Group’s policy, procedures and statutory requirements.

Person specification

Knowledge, Skills and Experience

Essential

• Knowledge of a range of analytics techniques such as data/text mining, feature engineering, forecasting, time series analysis, sentiment analysis, predictive analytics, segmentation/clustering
• Experience presenting complex analysis to a non-technical audience – written and verbal
• Knowledge of data warehouse design principles
• Experience of extracting and manipulating data, e.g. creating SQL Tables and Views
• Experience using Python, R or similar tools
• Good SQL knowledge
• Strong Excel skills
• Excellent attention to detail with the ability to work accurately under pressure and deliver to strict deadlines

Desirable 

• Knowledge of machine learning and AI methodologies
• Experience using visualisation tools - particularly Tableau 
• Experience of developing statistical models 
• Knowledge of Project delivery principles