Data Scientist - Emirati Talent

JOB TITLE

Data Scientist | Majid Al Futtaim Customer Solutions | Emirati Talent

ROLE SUMMARY

The Data Scientist will support analytics and data science initiatives across Customer Solutions use cases such as personalization, marketing effectiveness, and fintech/fraud. The role involves data preparation, analysis, feature engineering, experimentation, and supporting ML models in production. Working closely with senior data scientists and cross‑functional teams, the role contributes to customer‑focused, commercially driven data solutions.

ROLE PROFILE

Support analytics and data science initiatives across Customer Solutions use cases including personalization, marketing effectiveness, and fintech/fraud

Perform data preparation, exploratory analysis, and feature engineering using Python and SQL

Continuously learn modern data science tools, techniques, and best practices while supporting customer‑focused solutions

Support monitoring, reporting, and performance tracking of models and experiments in production

Work closely with senior data scientists to document workflows, models, and analytical outputs

Collaborate with Product, Engineering, and Data Engineering teams to understand data and business requirements

Contribute to A/B testing design, analysis, and interpretation of results

Assist in building, testing, and evaluating machine learning and analytical models

REQUIREMENTS

Degree in computer science, mathematics, statistics, economics, or a related technical discipline

1-3 years of experience in data analytics, data science, or a related analytical role, with strong fresh graduates considered

Strong foundation in Python for data analysis and SQL for querying and analysing datasets

Ability to analyse data, generate insights, and communicate findings clearly to stakeholders

Basic understanding of statistics, machine learning concepts, and analytical techniques

Exposure or willingness to learn tools and concepts such as ML libraries, experimentation, cloud platforms, or data visualization

WHAT WE OFFER

Work in a friendly environment, where everyone shares positive vibes and excited about our future.

Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.

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