Research Data Scientist

London- hybrid

Full time - 35 hours

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At Just we encourage a flexible and agile working environment for the majority of our opportunities. Get in touch with us to discuss in more detail.

Who are Just?

We help people achieve a better later life. That’s our purpose and it’s the reason we exist. We are a fast-growing FTSE 250 company helping customers enjoy the retirement they deserve. We do this through a variety of market leading, award-winning products and services, delivered by a diverse team of over 1,400 purpose-led colleagues who genuinely put the customer at the heart of everything we do.

This is a brilliant time to join our business. We are on an exciting growth journey to become the UK’s most loved retirement expert.

Purpose:

As a Research Data Scientist in the Demographic Risk group at Just, you will play a crucial role in analysing health-related data to derive actionable insights that inform decision-making processes and drive improvements in pension provision.

You will work closely with business owners to identify opportunities to drive value from data and lead the development of advanced analytics & predictive modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify health and mortality trends, and implement data-driven solutions.

You will use a variety of data sources (structured and unstructured) to perform analytics and generate actionable insight and models. You will be responsible for identifying opportunities for improvements across systems and processes. You will ensure that our analytics activities comply with data protection law and that we are upholding our values and ethics in how we use data.

Nature of the Role:

Data Analysis & modelling

Clean, preprocess, and validate health data to ensure accuracy and reliability of analyses.
Produce and present insightful analysis from multiple large data sources to help drive

Business performance

Develop high-quality analytics using appropriate, industry-standard tools, technologies and languages.

Data Insights

Collaborate with actuaries, underwriters, biostatisticians and other data users to understand
health and longevity trajectories and tailor analytical solutions accordingly.
Communicate complex health-related findings and insights to both technical and nontechnical stakeholders in a clear and understandable manner.
Improve data quality
Advise on the development and improvement of processes and procedures which maintain

Data quality

Work with colleagues to agree, document, implement and monitor actions for improving the quality of data
Support the implementation of the data governance framework at Just.

Stay current with advancements in health informatics, medical research, and data science to propose and implement innovative solutions.

Ensure that high-quality documentation is developed, maintained, regularly reviewed and stored for all solutions developed and all operational processes.

Perform peer reviews of solutions and documentation in order to ensure that procedures and standards are followed consistently. Continuously work towards the objective of building in quality and provide appropriately tested solutions.

Examples of Key Activities:

Setting data science priorities in consultation with business owners
Estimating and tracking the benefits of data science projects
Sourcing and analysing data
Spotting trends, patterns, and relationships within data
Using data-driven techniques for solving business problems
Communicating the results of your analysis to business owners
Documenting your programs and quality assurance process
Deploying and reviewing quality assured models

Skills and Knowledge

Analysis of structure, semi-structured and unstructured data
Programming – SQL, Python, R, Julia
AI/ML ethics
Understanding of Data Governance concepts and best practice
Quick understanding of business problems and requirements
Strong communication skills
A willingness to learn new skills and adopt to new technologies
Good understanding of Microsoft Server technologies (Azure, T-SQL, SSIS, SSRS, Power BI)

Experience

Strong experience of working as a Data Scientist or equivalent role, in applying statistical models and machine learning algorithms
Experience and ability to respond to business needs by identifying appropriate statistical methodologies and presenting insight for decision making
Attention to detail & problem-solving skills
Relationship building skills and collaborative working style
Experience with IT development processes and delivery lifecycles; development methodology; release strategy and configuration management; development tools, and applications across full project lifecycles
Experience with Power BI or a similar data visualisation tool is desirable
Exposure to C# or VB.NET, PowerShell and web technologies (JavaScript, ASP.NET, etc.) is desirable

Why Just?

At Just you’ll have the opportunity to develop your career, whilst making a difference to the lives of those around you. You’ll be part of a company with a strong and distinctive culture - we’re ambitious, curious and collaborative – and every decision we make centres around being Just and delivering the best outcomes for our customers.

We’re committed to building a more sustainable business, and we’re working hard to make progress against our Net Zero targets. We're reducing our reliance on fossil fuels in our offices, switching to more sustainable sources of energy and we're investing more of our money in green and social assets.

Valuing diversity of thought and fostering a sense of belonging is critical to our business success, driving innovation and balanced decision making. Our work on DEIB (Diversity, Equity, Inclusion and Belonging) aims to deliver a brilliant employee experience underpinned by a sense of belonging, where our people feel proud to work at Just. We remain committed to our publicly disclosed HM Treasury Women in Finance Charter and Race at Work Charter targets and support a wide range of employee network and events, championing issues including intergenerational working, social mobility and neurodiversity.

Be Bold. Be Brilliant. Be Just.

Just Group plc

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Research Data Scientist