About the Role

We are seeking a Data Scientist to join a growing AI & Analytics function. This is a hands-on individual contributor role focused on solving real business problems using data science, analytics, and machine learning.

The ideal candidate combines strong analytical thinking with business acumen and the ability to translate data into measurable impact. Prior industry-specific experience is advantageous but not mandatory.

This role works closely with business, operations, and transformation stakeholders to design and deploy data-driven solutions.

If you can show us your github repository or past analytical projects - that would fast track your application.

Key Responsibilities

Own business problems end-to-end from opportunity identification to solution deployment and impact measurement
Understand business models, operational workflows, and pain points
Identify opportunities where analytics and data science can create measurable value
Leverage existing data sources and recommend new data collection approaches
Design and deliver diagnostic, predictive, and ML-assisted analytics solutions
Develop and deploy basic machine learning models where appropriate
Use SQL, Python, and advanced Excel for data analysis and insight generation
Partner with cross-functional teams to implement and monitor solutions
Track, measure, and optimise performance of deployed models
Present insights clearly to non-technical stakeholders
Act as a trusted analytics partner to business teams

Role Structure

Individual contributor role (no direct people management)
Opportunity to mentor junior team members
Clear career pathway toward senior IC or leadership roles

Required Qualifications

Minimum 2 years of experience in data science, analytics, or related roles
Strong analytical and structured problem-solving skills
Working knowledge of:
SQL
Python
Advanced Excel
Understanding of basic machine learning concepts
Ability to translate analysis into business insights
Experience working with cross-functional stakeholders

Tools & Technologies

SQL
Python
Advanced Excel
BI tools (e.g., Power BI, Tableau, or similar)
Exposure to cloud environments is an advantage

Core Competencies

Analytical rigour and attention to detail
Ability to manage multiple priorities simultaneously
Strong communication and storytelling skills
Business orientation and outcome focus
Collaborative mindset with high integrity

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