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238

It Analyst jobs in United Arab Emirates

Data Scientist

Entertainer Fz

Dubai
On-site
AED 200,000 - 300,000
30+ days ago
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Enterprise Activation Data Engineer

XAD Technologies

Dubai
On-site
AED 120,000 - 200,000
30+ days ago

AI Consultant

Midis Group

Abu Dhabi
On-site
AED 120,000 - 150,000
30+ days ago

Data Scientist II - Algorithms - Gen AI

Delivery Hero

Dubai
On-site
AED 120,000 - 200,000
30+ days ago

Machine Learning Engineer

Messilat

Dubai
On-site
AED 60,000 - 100,000
30+ days ago
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Senior Data Scientist - Banking

VAM Systems

Dubai
On-site
AED 80,000 - 120,000
30+ days ago

Director Data Scientist - Analysis - Growth

Delivery Hero Austria

Dubai
On-site
AED 120,000 - 180,000
30+ days ago

Data Engineer

Marc Ellis

United Arab Emirates
On-site
AED 293,000 - 404,000
30+ days ago
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Specialist Data Scientist

Integrated Projects Consultancy

Abu Dhabi
On-site
AED 120,000 - 180,000
30+ days ago

Azure Data Engineer

PCS Gulf

Dubai
On-site
AED 120,000 - 180,000
30+ days ago

Data Scientist II - Analysis, Lifecycle

Delivery Hero

Dubai
On-site
AED 200,000 - 300,000
30+ days ago

Machine Learning Engineer

Leading Edge

Dubai
On-site
AED 120,000 - 180,000
30+ days ago

Data Manager

ALBA CORP

Dubai
On-site
AED 120,000 - 200,000
30+ days ago

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Data Scientist
Entertainer Fz
Dubai
On-site
AED 200,000 - 300,000
Full time
30+ days ago

Job summary

A leading digital company in Dubai is seeking a strategic and hands-on Data Scientist to lead data innovation within its B2C business. This role involves collaborating with various teams to develop predictive models and business insights that enhance user acquisition and retention. The ideal candidate will have a strong background in data science, machine learning, and advanced analytics, along with excellent communication skills to influence key business decisions.

Benefits

Competitive salary and benefits package
Opportunity to work with an energetic and innovative company
Chance to contribute to the success of a well-known UAE brand

Qualifications

  • 3-5 years of experience in Data Science or Advanced Analytics.
  • Proficiency in Python, R, SQL, and Big Data platforms.
  • Deep understanding of machine learning techniques.

Responsibilities

  • Define and execute a holistic data science strategy.
  • Build churn prediction models and customer segmentation.
  • Collaborate with Product teams for A/B testing frameworks.

Skills

Data Science
Machine Learning
Predictive Modeling
Python
SQL

Education

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science

Tools

BigQuery
MLFlow
Databricks
GCP
AWS
Tableau
Power BI
Job description
About Us

The ENTERTAINER is a leading digital company dedicated to adding value for consumers by bringing them the best incentive offers globally. We are a 100% digital, data-driven tech company providing first-rate offers across renowned dining, leisure, entertainment, and hotel brands worldwide. The ENTERTAINER has grown with the aim of creating unbeatable value and loyalty everywhere we operate. We believe that experience is everything, and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees.

About the Role

We are looking for a strategic and hands-on Data Scientist to lead data innovation and decision science within our B2C business. This role will collaborate closely with Product, Technology, Marketing, and Sales teams to develop predictive models, personalization strategies, and business insights that accelerate user acquisition, improve customer retention, and boost merchant engagement, including voucher redemptions and Digital Reach monetization.

As a Data Scientist, you will
Strategic Impact & Business Influence
  • Define and execute a holistic data science strategy aligned with B2C growth goals.
  • Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and Digital Reach visibility.
  • Influence key decisions across marketing campaigns, product features, and merchant onboarding through predictive insights.
  • Serve as a data evangelist promoting cross-functional alignment and a strong data-first mindset.
  • Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.
Product & Business Intelligence
  • Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.
  • Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.
  • Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.
  • Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.
  • Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.
  • Support Sales & Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.
  • Implement real-time analytics dashboards to track KPIs (active users, redemptions, Digital Reach revenue) and provide actionable insights.
Analytics Engineering & Infrastructure
  • Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.
  • Lead development of dashboards and self-serve analytics tools for key stakeholders.
What We're Looking For
  • At least 3-5 years of experience in Data Science, Machine Learning, or Advanced Analytics, ideally in a B2C e-commerce, subscription, or digital commerce environment.
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Proficiency in Python, R, SQL, and Big Data platforms such as BigQuery, MLFlow, Databricks, GCP, or AWS.
  • Deep understanding of machine learning (e.g., XGBoost, LightGBM, scikit-learn) and predictive modeling techniques.
  • Experience designing experiments (A/B testing) and applying statistical inference techniques.
Preferred:
  • Experience with mobile app analytics, offer redemption behavior, or consumer loyalty ecosystems.
  • Exposure to advertising analytics and performance optimization for in-app marketing/ads (like Digital Reach).
  • Familiarity with modern data visualization tools such as Tableau or Power BI.
Core Competencies
  • Strategic thinker with strong business acumen and the ability to translate data into commercial impact.
  • Excellent communication and storytelling skills to influence executive stakeholders.
  • Track record of delivering high-impact insights and building analytics capabilities from scratch.
  • Strong mentoring, coaching, and cross-functional collaboration abilities.
What We Offer
  • Competitive salary and benefits package.
  • Opportunity to work with an energetic and innovative company.
  • A chance to contribute to the success of a well-known UAE brand.
Required Experience

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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