Data Scientist

EPAM is looking for a talented Data Scientist to join our team in Abu Dhabi. You will work on a dynamic fintech project that is transforming digital financial services across the region. In this role, you will work with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to develop AI solutions for financial services. This position combines machine learning, natural language processing, and data science skills to create intelligent systems that enhance our fintech platform’s capabilities.

You will collaborate with experienced team members while developing your expertise in cutting-edge AI technologies for financial applications. If you are eager to grow your expertise in AI, passionate about data science, and motivated to impact the future of digital finance, then this unique opportunity is for you.

Responsibilities:

• Design, develop, and deploy language models and RAG systems for financial applications, optimizing and fine-tuning models.
• Support research initiatives in language models and retrieval-augmented generation, staying updated with the latest advancements in NLP, machine learning, and AI.
• Collect, preprocess, and analyze datasets to support model training and evaluation, contributing to data pipeline development.
• Evaluate model performance using appropriate metrics and methodologies, identifying areas for improvement.
• Collaborate with cross-functional teams including engineers, product managers, and researchers to deliver data science solutions.
• Document methodologies, experiments, and results, preparing reports and presenting findings to team members and stakeholders.

Requirements:

• Bachelor’s degree in Computer Science, Data Science, Machine Learning, Mathematics, or a related field (master’s preferred).
• Minimum 2 years of experience in data science and machine learning.
• Experience with data science projects and model development preferred.
• Some experience working with machine learning models, with exposure to NLP or language models a plus.
• Proficiency in Python programming and machine learning frameworks (TensorFlow, PyTorch).
• Knowledge of SQL and cloud platforms (AWS, GCP, Azure).
• Hands-on experience with data visualization, machine learning algorithms, statistical methods, and basic deep learning.
• Strong communication, problem-solving, and collaboration skills.
• Desire to learn and grow in data science and AI technologies.

Language Requirements:

• Proficiency in English is expected.

Nice to Have:

• Certifications in cloud platforms (AWS, Azure, Google Cloud) or AI/machine learning.
• Basic understanding of MLOps and model deployment.
• Knowledge of distributed computing frameworks.
• Experience with data engineering tools and pipelines.
• Understanding of financial services data and analytics.
• Interest in financial modeling and risk assessment.
• Awareness of AI applications in financial services.

What We Offer:

• End of service gratuity.
• Private healthcare and life insurance.
• Employee assistance program.
• Wellness program.
• Annual air travel tickets for expatriates.
• Regular performance feedback and salary reviews.
• Global travel medical and accident insurance.
• Referral bonuses.
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions, and much more.

All benefits and perks are subject to certain eligibility requirements.