Principal/Senior/Mid/Junior - Data Scientist - Agents Team
Role details
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Tech stack
Job description
We're building production LLM systems at enterprise scale - which means tackling hard problems in evaluation, reliability, and latency while staying at the research frontier. Our challenges include grounding agents in structured business data, coordinating multi-agent workflows, and ensuring robust performance in high-stakes decision contexts. We pair strong engineering with applied research, contributing to the field through publications and establishing technical differentiation in a fast-moving space., Junior Data Scientist - up to 2 years of experience
- Build and maintain AI-driven features (Agentic LLM systems, classical ML, recommender systems) for our GenAI product features.
- Contribute to app features, improving models, pipelines and deliverables with guidance from mid/senior teammates.
- Communicate with your team: present results and findings, identify gaps and opportunities, and learn to explain the product and the AI behind.
Mid Data Scientist - 2-4 years of experience
- All of the above +
- Own features of the app, constantly improving models, pipelines and monitoring to ensure robust performance in production.
- Communicate and align with internal and external stakeholders: present results, identify opportunities, and explain the AI behind business outcomes.
Senior Data Scientist - 4+ years of experience
- All of the above +
- Build and maintain features with strong ownership over quality and performance.
- Own key features and projects, designing and improving models, pipelines and experimentation frameworks.
- Communicate and align with stakeholders, identifying gaps and opportunities and turning business requirements into AI solutions.
- Provide technical and people leadership: set modelling standards, mentor teammates, and lead cross-functional delivery with PMs, engineers and customers to drive measurable business impact.
Principal Data Scientist - 8+ years of experience
- All of the above +
- Lead, design and maintain AI-driven solutions across multiple workstreams to solve complex business challenges.
- Own delivery across several projects: shape the roadmap with PM/Eng, scope initiatives, manage dependencies and risks, and ensure timely, high-quality releases.
- Communicate and align with senior internal and external stakeholders, identifying domain-wide opportunities and influencing strategy.
- Provide leadership for the Data Science team: mentor and manage, define modelling and evaluation standards, and drive impactful cross-functional delivery.
Requirements
Do you have experience in Machine learning?, Do you have a Master's degree?, * Someone who thrives at the intersection of business, analytics and AI and wants to ensure AI solves the right finance problems with measurable impact.
- A scientist and builder: you explore multiple approaches, analyze results and iterate fast, balancing cutting-edge techniques with simple, scalable solutions.
- A strong communicator who adapts the message to different audiences and enjoys working cross-functionally with product, engineering, and business stakeholders.
- Someone with a startup mindset: comfortable with ambiguity, proactive, and hands-on when something needs fixing or improving.
- Ready to Lead Boldly - helping Finance leaders make decisive decisions powered by real-time AI insights.