Data Scientist I

Key Responsibilities

Data Analysis & Modelling:
-    Analyse large, complex datasets to identify trends, patterns, and actionable insights.
-    Develop, implement, and optimize machine learning models to solve business problems.
-    Conduct A/B testing and experimental analysis to validate hypotheses.
Data Management & Engineering:
-    Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency.
-    Design and develop ETL pipelines and workflows for data preprocessing.
-    Develop automated tests to validate the processes and models you create.


Collaboration & Communication:
-    Participate in design meetings to help shape the solutions that the team delivers
-    Present findings and recommendations to technical and non-technical audiences.
-    Acquire domain knowledge to inform modelling opportunities and model feature creation

Qualifications

Education:
-    Bachelor’s degree in data science, Statistics, Mathematics, or a related field.

Experience:
-    Experience designing experiments or modelling approaches to solve a specified problem.

Technical Skills:
-    Proficiency in programming languages such as Python or R; knowledge of is R an advantage.
-    Experience with SQL and working knowledge of relational databases.
-    Proficiency with data visualisation tools and techniques.
-    Experience with AI tools such as Claude Code - ideally also agentic AI
-    Experience with AWS is a plus.

Soft Skills:
-    Strong problem-solving and critical-thinking abilities.
-    Excellent communication and presentation skills.