Data Analyst

Apparel Group; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading retail company is seeking a Data Analyst to join their AI team. This position focuses on applying data analytics and machine learning techniques to solve real-world retail challenges. Candidates should have a strong academic background in relevant fields and at least 2 years of experience in data science or machine learning. Responsibilities include model building, data analysis, and collaboration with product managers. The role offers the chance to work on innovative AI solutions in a dynamic environment.

Qualifications

• 2+ years of experience in data science or applied machine learning, preferably in retail or e-commerce.
• Strong knowledge of machine learning fundamentals such as regression, classification, clustering, and time series forecasting.
• Ability to analyze data and communicate insights effectively.

Responsibilities

• Assist in building, testing, and deploying machine learning models.
• Perform data cleaning, preprocessing, and feature engineering on large datasets.
• Conduct exploratory data analysis to discover trends and insights.
• Support dashboard development and data storytelling for stakeholders.

Skills

Data analysis

Machine learning

Python programming

SQL

Data cleaning

Exploratory data analysis

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or related field

Tools

Pandas

NumPy

Scikit-learn

Matplotlib

Seaborn

Power BI

Tableau

Job description

We are looking for a Data analyst to join our growing AI team at Apparel Group. This role is ideal for someone with a strong foundation in data analytics and machine learning who wants to apply their skills to real-world retail problems. You’ll work alongside senior data scientists and product managers on AI-powered solutions such as - from forecasting and workforce optimization to cutting‑edge applications of LLMs (Large Language Models) and agentic AI.

Key Responsibilities

• Assist in building, testing, and deploying machine learning models (forecasting, classification, optimization).
• Perform data cleaning, preprocessing, and feature engineering on large structured and unstructured datasets.
• Conduct exploratory data analysis (EDA) to discover trends, anomalies, and insights
• Work with the team to design and validate experiments, pilots, and predictive models
• Support dashboard development and data storytelling for business stakeholders.
• Stay updated with new ML / AI techniques (including LLMs and agentic AI) and explore potential use cases.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or related field.
• 2+ years of experience in data science or applied machine learning (retail / e-commerce experience preferred).
• Strong programming skills in Python (Pandas, NumPy, Scikit‑learn, Matplotlib / Seaborn).
• Good knowledge of machine learning fundamentals (regression, classification, clustering, time series forecasting).
• Experience with SQL and working with relational databases.
• Ability to analyze data, communicate insights, and document findings clearly.

Preferred Skills (Nice to Have)

• Familiarity with deep learning frameworks (TensorFlow, PyTorch).
• Exposure to LLMs (Large Language Models) and their applications.
• Experience with optimization problems (scheduling, resource allocation).
• Knowledge of cloud platforms (Azure, AWS, or GCP).
• Hands‑on experience with BI tools (Power BI, Tableau)