Internal Client Services - Data Scientist (2 Year Contract)

At Deloitte, our Purpose is to make an impact that matters for our clients, our people, and society. This is the lens for which our global strategy is set. It unites Deloitte professionals across geographies, businesses, and skills. It makes us better at what we do and how we do it. It enables us to deliver on our promises to stakeholders, while creating the lasting impact we seek.

Harnessing the talent of 450,000+ people located across more than 150 countries and territories, our size and scale puts us in a unique position to help change the world for the better—by bringing together the services we provide, the societal investments we make, and the collaborations we advance through our ecosystems.

Deloitte offers career opportunities across I nternal Client Services (ICS), Audit & Assurance (A&A), Tax & Legal (T&L) and our Consulting services business, which is made up of Strategy, Risk & Transactions Advisory (SR&T) and Technology & Transformation (T&T).

We are seeking a Data Scientist with a focus on analytics and business intelligence to deliver end-to-end dashboard and analytics products. You will bridge the gap between source data and business-facing insight by preparing, modelling and visualising trusted data that drives day-to-day decisions. The incumbent will deliver dashboard and analytics products by combining data engineering, semantic modelling, business intelligence development and visualisation skills. Ensure solutions are repeatable, reliable and usable by non‑technical decision makers.

3 - 5 years' experience in business intelligence, dashboard development, analytics visualisation or management information delivery.

Behavioural competencies

- Communication: explains complex data concepts in plain language.
- Analytical thinking: breaks down problems and validates assumptions with data.
- Attention to detail: produces accurate models and documentation.
- Collaboration: works closely with analysts, engineers and business stakeholders.
- Continuous improvement and curiosity: seeks better approaches and learns from outcomes.
- Outcome orientation: focuses on measurable business impact, not just reports.

Responsibilities

Identify and connect to relevant source data for dashboard and analytics products.; Extract, transform and load data and build reusable data preparation routines.; Develop semantic models to support consistent reporting and analysis.; Design and build Power BI dashboards, measures and management information products.; Implement data validation, reconciliation and data quality checks.; Document source-to-target mappings, transformation rules and limitations.; Support delivery of minimum viable products and iterate based on user feedback.; Contribute to user experience design for dashboards and support handover to operational teams.

Requirements

Strong experience developing business intelligence dashboards and management information.; Practical knowledge of Power BI, semantic modelling and dashboard user experience.; Experience writing queries and data transformations (for example using Structured Query Language or formula languages used in modern reporting tools).; Familiarity with extract, transform and load processes and data flows.; Experience with data reconciliation and ensuring data quality.; Clear documentation skills and an ability to explain data models to non‑technical audiences.; Focus on delivering minimum viable products and reusable components.; Experience with modern cloud data platforms such as Databricks Lakehouse is beneficial but not required.; Familiarity with dataflows and automated data pipelines.