We are seeking a highly skilled AI Data Expert to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and optimizing AI-driven data solutions to enhance business intelligence, automate processes, and drive innovation. This role requires expertise in machine learning, data engineering, and AI model deployment within the financial services sector.

Responsibilities

• Design, build and deploy sophisticated AI/ML models to extract critical insights and drive value from large-scale financial datasets
• Collaborate closely with cross-functional teams (business, tech, product) to embed AI-powered solutions effectively into existing business processes and platforms
• Uphold rigorous data quality and governance standards; ensure all solutions comply with relevant financial regulations (e.g., GDPR, FINMA)
• Engineer and enhance data pipelines for optimal performance, scalability and reliability to support demanding AI/ML workloads
• Actively research, evaluate, and implement cutting-edge AI/ML techniques (NLP, deep learning, predictive modeling) to solve complex, high-impact business challenges
• Provide technical leadership throughout the AI/ML project lifecycle, from ideation and prototyping through to production deployment and monitoring
• Clearly articulate technical concepts, model findings and strategic recommendations to diverse stakeholders, translating insights into actionable business outcomes

Requirements

• Degree in Computer Science, Data Science, AI, or similar quantitative field
• 5+ years in AI/ML or data engineering roles, financial services experience preferred
• Proficiency in Python, SQL and common AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
• Experience with big data tools (Hadoop, Spark, Kafka) and cloud environments (AWS/Azure/GCP)
• Knowledge of NLP, deep learning and predictive modeling techniques
• Strong analytical and problem-solving capabilities
• Excellent communication skills and ability to manage stakeholder relationships
• Adaptability to working effectively in a dynamic, team-based setting

Nice to have

• Experience with AI ethics, explainability (XAI), and bias mitigation techniques
• Familiarity with financial datasets and modeling (risk, markets, customer analytics)
• Relevant AI/ML or Cloud certifications (AWS ML Specialty, GCP Data Engineer, etc.)

We offer

• By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2021 & 2022&2023
• Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters
• You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices
• We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey
• At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us

Life at EPAM

- EPAM is a leading global provider of digital platform engineering and development services. EPAM has been expanding in Singapore since 2013 and delivering the best solutions to our customers. As a recognized leader, EPAM Singapore achieved Great Place to Work® Certification in 2023 and is committed to providing our team with inspiring careers.

- You will have the opportunity to work with fellow talented technologists and accelerate your career by participating in our numerous upskilling, training, and certification programs. That is why EPAM Singapore was awarded Gold for Best In-House Certification Programmes in the Employee Experience Awards 2023 and Silver in the SkillsFuture Employers Awards 2022 for our efforts in championing employees' skills development and building a lifelong learning culture at the workplace. You can also look forward to developing holistically with the multiracial festivals and various wellness and cultural activities organized by our passionate colleagues here.