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 role 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

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

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