We are looking for a Data Scientist to join our Data Science and AI Division (DSAD). As an individual contributor, you will apply advanced analytics and machine learning to unlock the value of our data - delivering scalable insights that inform strategy and operational efficiency and contributing to a data-driven culture that enables smarter decision-making across the organisation. Your work will have real impact - from building models that detect fraud and protect citizens, to generating insights that shape policy and regulatory decisions at the organisational level.

What you will be working on

o Work closely with business teams to understand their data needs, contributing to data science projects that deliver predictive models, dashboards, and other analytical products.

o Help ensure the integrity and accuracy of data by assessing and validating data quality, identifying anomalies, and working with data engineers to resolve data issues.

o Apply a range of analytical approaches - from descriptive analytics to advanced machine learning- to develop models for risk scoring, fraud detection, and regulatory reporting that inform operational and strategic decisions.

o Translate analytical findings into clear visualisations and actionable recommendations for both business teams and leadership.

o Champion data literacy and good data practices across the organisation, helping to build a culture that values data as a strategic asset.

What we are looking for

is proficient in statistical analysis, machine learning, and predictive modelling, with hands-on experience in Python, R, SQL, Spark, and data visualisation platforms like Tableau or Power BI
has some experience building machine learning models at scale, including models for risk scoring or fraud detection
has some exposure to deploying analytical solutions on enterprise data platforms, cloud platforms like AWS, containerisation tools like Kubernetes, or CI/CD pipelines for scalable deployment
is self-driven and can manage data science tasks independently, while being open to guidance from senior team members
is proactive and adaptable, comfortable juggling multiple tasks and delivering results in a fast-paced environment
enjoys solving complex problems and translating business and regulatory challenges into clear analytical solutions
thrives working collaboratively across functions, including with product managers, engineers, and business teams
can communicate analytical findings clearly and persuasively to both technical and non-technical audiences

Data Scientist (DSAD)