Data Scientist - AI Research

Описание

We are seeking a highly motivated AI Researcher to join our core Data Science team. In this role, you will be at the forefront of tackling complex, high-impact business challenges by leveraging cutting-edge GenAI technologies, advanced AI research, and classical machine learning and statistical modeling.

You will not just be building models; you will be driving research from ideation to production. We are looking for a true self-learner, someone who thrives in an environment that demands both a strong sense of ownership over your deliverables and deep collaboration. You will work closely with fellow researchers, product managers, and software developers to translate abstract business problems into scalable data-driven solutions.

If you are passionate about staying ahead of the AI curve, building agentic workflows, and proactively driving your research initiatives forward within a collaborative team structure, this is the perfect role for you.

Responsibilities

• Lead targeted research projects from initial hypothesis through to production-ready solutions. Take strong ownership of your work's performance and partner with engineering to ensure successful, scalable integration
• Lead research into LLMs, agentic systems, and modern AI methods, then design and build the workflows that bring them into our ecosystem.
• Contribute to and establish rigorous evaluation frameworks for LLMs to ensure accuracy, safety, and business alignment in practical applications.
• Act as a bridge between data, engineering, and product. Work with Developers to ensure seamless integration of ML features into the core product.
• Act as an internal advocate for emerging AI research and methodologies. Continuously read, experiment, and implement state-of-the-art techniques to advance our research agenda and accelerate research velocity.

Requirements

• 3 to 5 years of proven industry experience working as an AI Researcher or Data Scientist in a fast-paced environment.
• M.Sc. in Data Science, Computer Science, Statistics, Mathematics, or a closely related quantitative field.
• Deep theoretical knowledge and hands-on experience with classical Machine Learning algorithms and advanced statistical modeling techniques.
• Proven experience researching and building with advanced AI concepts, such as RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, autonomous AI systems, and rigorous LLM evaluation mechanisms.
• Strong experience working with modern AI productivity and development tools (e.g., Claude Code, Cursor, GitHub Copilot, advanced prompting frameworks) to accelerate coding and research execution.
• A demonstrated ability to teach yourself new concepts quickly. You proactively research, test, and propose state-of-the-art solutions rather than waiting for a rigid roadmap.
• Excellent ability to communicate complex mathematical and technical concepts to non-technical stakeholders while matching the technical depth required to work seamlessly with Engineering.

Nice to have

• Familiarity with or prior experience working in the Finance domain (e.g., risk modeling, algorithmic trading, fraud detection, financial time-series forecasting).
• Knowledge and practical experience with causal inference techniques to measure true business impact beyond standard correlation.
• Experience designing and training deep neural networks (e.g., PyTorch, TensorFlow) for complex unstructured data tasks.

We offer

• You will have the independence to execute key research initiatives while contributing directly to the company's evolving product roadmap.
• We are deeply invested in the GenAI space. You will have the resources and mandate to work with the latest models and frameworks.
• Join a team of passionate, smart, and collaborative individuals who care about building exceptional products without corporate bureaucracy.