Job Description

About the Role

We are seeking a technical and hands-on Data Scientist to drive the evolution of our analytics capabilities. Moving beyond traditional reporting, you will be responsible for building reproducible, code-first data products that power our internal decision-making and customer-facing features.


You will play a central role in our transition to an Azure-native stack, utilising Python, Spark, and Cloud computing to automate complex workflows. You will champion a culture of reproducibility and engineering rigour, moving us away from manual ad-hoc analysis towards robust, scalable data science solutions.

Key Responsibilities

Advanced Analytics & Modelling:

Design and implement predictive models and algorithms that unlock new value from our vehicle telemetry data.

Code-First Automation:

Replace manual Excel/VBA workflows with robust, automated Python pipelines. You will be responsible for "productionising" insights to ensure they run reliably without manual intervention.

Cloud & Big Data:

Utilise

Spark

and

Azure

(Databricks/Synapse) to process large datasets efficiently. You will work extensively with Notebooks for both exploration and deploying production jobs.

Reproducibility & Governance:

Champion software engineering best practices within the data team, including version control (Git), code reviews, and defensive coding to ensure all analysis is reproducible and audit-proof.

Data Storytelling:

Translate complex datasets into clear, interactive narratives that drive strategic action across the Engineering and Development teams.

Essential Skills & Experience

Python Expertise:

Expert proficiency in

Python

for data manipulation and automation is essential. You must be comfortable writing production-grade code, not just scripts.

Big Data Frameworks:

Hands-on experience with

Spark (PySpark)

and working within distributed computing environments is essential.

Cloud Computing:

Strong familiarity with cloud platforms, specifically

Azure

(Data Lake, Databricks, Data Factory).

Notebooks & IDEs:

Extensive experience using Jupyter/Databricks Notebooks for analysis and VS Code for pipeline development.

SQL Mastery:

Advanced SQL skills for querying and transforming data from disparate sources.

CI/CD & Version Control:

Experience working in an agile environment using Git for version control to manage codebases and collaborative workflows.

Personal Characteristics

An

active problem solver

who hates manual repetition and constantly looks for ways to automate processes.

Focussed on continuous development:

You stay up to date with the latest libraries, tools, and cloud trends. A

confident communicator

who can explain complex machine learning concepts to non-technical stakeholders. * Personable and outgoing, with a good sense of humour.