Data Scientist

Linnk Group; United Arab Emirates; On-site; Full time

Job summary

Linnk Group is looking for an Applied Data Scientist to tackle real-world enterprise problems such as churn prediction and supply chain forecasting. The ideal candidate will effectively build and deploy machine learning models, requiring 3-5 years of experience, proficiency in Python and SQL, and strong communication skills.

Qualifications

• 3–5 years in applied data science roles.
• Proficient in Python, SQL and cloud-native tools (AWS / GCP).
• Experience with experimentation frameworks (A / B testing, uplift modelling) a plus.

Responsibilities

• Build and evaluate supervised / unsupervised models (classification, regression, clustering).
• Collaborate with engineering to deploy ML models at scale.
• Generate insights and visualisations to support commercial outcomes.

Skills

Python

SQL

Cloud-native tools

Statistical reasoning

Machine Learning

Job description

Extract value from data with applied machine learning and statistical models

We’re hiring an Applied Data Scientist to work across real-world enterprise problems — from churn prediction to supply chain forecasting. You’ll build models that get deployed, measured, and improved over time.

Key Responsibilities :

• Build and evaluate supervised / unsupervised models (classification, regression, clustering)
• Work with structured and unstructured data in Python (Pandas, Scikit-Learn, XGBoost)
• Generate insights and visualisations to support commercial outcomes
• Collaborate with engineering to deploy ML models at scale
• 3–5 years in applied data science roles
• Proficient in Python, SQL and cloud-native tools (AWS / GCP)
• Excellent statistical reasoning and communication of insights
• Experience with experimentation frameworks (A / B testing, uplift modelling) a plus

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Contract

Job function

Job function

Information Technology

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