Data Scientist, Loyalty Exp (8-10 Yrs)

Solanalytics; Dubai; On-site; AED 90,000 - 150,000; Full time

Job summary

An established industry player is looking for a Consultant / Data Scientist to enhance their analytics practice. This role involves leading innovative analytics projects, engaging with clients to identify growth opportunities, and providing expertise in loyalty management. The ideal candidate will have extensive experience in data science, particularly in the retail sector, and will work with cutting-edge tools and methodologies. Join a dynamic team that values creativity and strategic thinking, while contributing to impactful data solutions that drive business success.

Qualifications

• 8-10 years of experience in Data Science, focusing on loyalty programs.
• Strong analytical skills with expertise in data modeling and statistical analysis.

Responsibilities

• Lead analytics projects from conception to execution, focusing on client engagement.
• Identify growth opportunities through data analytics and technology implementation.

Skills

Data Analytics

Machine Learning

Problem-Solving

Leadership

Client Engagement

Education

Bachelor’s Degree in Computer Science

Post Graduate Degree in Computer Science

Tools

Dataiku

SAS

Python

R

SQL

Tableau

Power BI

Hadoop

Spark

Job description

Sol Analytics is seeking a Consultant / Data Scientist to join our team of growing professionals. The ideal candidate would have a minimum of 8-10 years of core experience in Data Science, including managing loyalty programs. A minimum of 5 years of managing Loyalty Analytics programs in Multinational Retail Industry is required.

The successful candidate will :

• Lead and ideate new analytics use cases and projects for our clients.
• Contribute to the growth of our Analytics practice.
• Provide leadership for our flagship loyalty management projects with select customers.

Location : Dubai / Abu Dhabi

Roles and Responsibilities :

Key Role

• Client Engagements : Will be working with select clients with Retail footprint for Analytics project execution with innovative solution using data Analytics.
• Identifying Growth Opportunities : Discover potential avenues for client growth through data analytics, technology implementation, and introducing cutting-edge data solutions, including Large Language Models (LLMs).
• Data Engineering Support : Assist in data engineering projects focused on building data transformation pipelines on cloud platforms.

Analytics Use Case Ideation

• Ideate and develop new analytics use cases and projects for clients.
• Lead the implementation and execution of analytics projects from conception to completion.
• Continuously identify opportunities for improving analytics processes and methodologies.

Client Engagement

• Engage with clients to understand their business needs and propose suitable analytics solutions.
• Build solutions to client requirement thereby achieving business use case objectives.

Growth of Analytics Practice

• Contribute to the strategic growth and development of the analytics practice.
• Stay updated with industry trends and advancements in data science and analytics.
• Implement best practices and innovative approaches within the analytics team.

Loyalty Management Projects

• Provide leadership and expertise on flagship loyalty management projects with select customers.
• Ensure the successful design, execution, and management of loyalty programs.
• Analyze and interpret loyalty data to provide actionable insights and recommendations.

Expertise

• Proficiency in data analytics tools and platforms (Dataiku, SAS, Python, R, SQL, Tableau, Power BI).
• Strong understanding of data modeling, statistical analysis, and machine learning techniques.
• Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
• Strong analytical and problem-solving skills with the ability to derive insights from complex datasets.
• Excellent leadership and team management skills.
• Strong communication and presentation skills.
• Ability to engage with clients and understand their business requirements.
• Problem-solving mindset with a focus on delivering practical and impactful solutions.

Qualifications :

• Bachelor’s degree in computer science, Statistics, Mathematics, Computer Engineering, Data Science and AI or related field.
• Post Graduate degree in Computer Science will be an added advantage.
• Experience with predictive modelling, machine learning, and data governance is a plus.

Additional Requirement :

• Should be willing to relocate to UAE.

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