Data Scientist

Responsibilities:

• Develop AI applications (e.g., virtual assistants) to improve client experiences, empower employees, and optimize internal processes.
• Apply generative and predictive AI methodologies such as Prompt Engineering, RAG, Fine-tuning, speech-to-text, agentic applications, and image interpretation.
• Contribute to the deployment of AI solutions in production using a full stack of tools.
• Communicate AI insights and outcomes directly to top management.
• Collaborate in an Agile team environment that values innovation, lean processes, and teamwork.
• Work with large, diverse datasets to drive analytics and machine learning initiatives.

Skills:

Technical Skills (Mandatory):

• Python programming
• Deep learning
• Experience with pre-trained models

Technical Skills (Preferred):

• GenAI frameworks (e.g., LangChain, Haystack)
• Version control tools (e.g., Git)
• Domino platform experience
• Experience with GenAI applications in finance

Soft Skills:

• Team player
• Business-oriented mindset
• Proactive and quick self-starter
• Strong communication and influencing abilities
• Analytical and synthesis capabilities
• Autonomy, commitment, and perseverance
• Ability to work in a dynamic, multicultural environment