Are you passionate about Data Science and Artificial Intelligence? Do you thrive at the intersection of technical innovation and business strategy, finding satisfaction in translating complex ideas into scalable client-centric solutions? If so, we have an exciting opportunity for you.
As a Senior/Lead Data Scientist, you will play a pivotal role in driving the development and deployment of state-of-the-art AI models and data-driven solutions that deliver measurable impact. You’ll move beyond building prototypes to deploying robust production-grade systems. We are looking for an experienced applied data scientist who can combine exceptional technical skills with strategic foresight and the ability to partner effectively with business and technical teams. You’ll have proven expertise in managing project timelines and delivering results that align with organizational goals while fostering collaboration and innovation within the team.

REQUIREMENTS

• Extensive experience applying data science methods including knowledge of NLP, Large Language Models (LLMs) and Generative AI technologies
• Expertise in object-oriented programming with deep knowledge of critical machine learning libraries (e.g. TensorFlow, PyTorch, scikit-learn) and best practices for efficient coding
• A solid grasp of probability, inference and robust data analysis techniques to inform model selection, development and accurate interpretation of outputs
• Proven ability to take AI models from ideation through deployment ensuring scalability, reliability and alignment with business objectives
• Hands-on experience with cloud platforms (Azure and/or AWS) and deployment pipelines to deliver scalable production-ready solutions
• Skilled at establishing, maintaining and advocating for clean, maintainable and well-documented code across projects
• Ability to work effectively with both technical and non-technical stakeholders bridging the gap between business needs and development execution
• Adept at translating complex technical ideas into clear actionable insights for teammates, executives and clients

• Build innovative machine learning and AI solutions designed to address a variety of business challenges and opportunities
• Continuously tune and refine models for improved performance, accuracy, scalability and reliability across multiple use cases
• Establish frameworks to assess accuracy, performance metrics and data fitness to ensure models meet real-world demands
• Lead efforts to standardize model evaluation, coding practices and data science workflows to uphold high-quality production-level code
• Work closely with business stakeholders to define project goals and technical requirements while partnering with data engineering teams to streamline development roadmaps
• Bring cutting-edge techniques like NLP, Large Language Models (LLMs) and Generative AI (GenAI) to solve real-world problems with demonstrable results