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Working in a small, lean, highly capable AI team you’ll play a central role in developing traditional AI and data‑science‑led solutions for real‑world problems.
Job Responsibility:
Building and iterating on data‑science models to solve complex business challenges
Exploring and proposing technical solutions, especially when documentation is limited or problems are not well‑defined
Contributing clean, well‑structured code to shared repositories, following good coding and version‑control practices
Collaborating with stakeholders and presenting insights clearly, ensuring technical outputs are understandable and actionable
Requirements:
3–5 years of relevant experience delivering technical solutions end‑to‑end
A strong mathematics or quantitative background (essential for model development)
Solid programming skills in Python, SQL and Snowflake
Experience building traditional AI or data‑science models (e.g., forecasting, segmentation, classical ML techniques)
Excellent communication skills with demonstrated experience explaining complex concepts clearly and confidently to technical and non‑technical audiences
A self‑starter mentality, comfortable defining your own process and working in startup‑like environments
Nice to have:
Exposure to agentic or Gen AI systems
Experience building neural networks, transformers, or LLM‑based architectures
What we offer:
A steep learning curve and therefore fast progression opportunities
Exposure to world-class clients and cutting-edge data technologies
The chance to become a named resource that clients request directly
Variety - projects, industries, tech stacks, and real room to make an impact
A supportive, collaborative environment where strong contributors thrive