Middle Data Scientist

Warsaw - Poland

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Its fun to work in a company where people truly BELIEVE in what theyre doing!

Were committed to bringing passion and customer focus to the business.

About Us

Kyriba is a global leader in liquidity performance that empowers CFOs Treasurers and IT leaders to connect protect forecast and optimize their liquidity. As a secure and scalable SaaS solution Kyriba brings intelligence and financial automation that enables companies and banks of all sizes to improve their financial performance and increase operational efficiency. Kyribas real-time data and AI-empowered tools empower its 3000 customers worldwide to quantify exposures project cash and liquidity and take action to protect balance sheets income statements and cash flows. Kyriba manages more than 3.5 billion bank transactions and $15 trillion in payments annually and gives customers complete visibility and actionability so they can optimize and fully harness liquidity across the enterprise and outperform their business strategy. For more information visit.

We are seeking a Mid-Level Data Scientist with a strong interest in AI agent systems to join our growing development team and help us enhance product reliability and performance. One of our teams core missions is to create innovative scalable and impactful AI solutions that extend the Kyriba Platforms functionality and fulfill growing customer needs and expectations.

As a Mid-Level Data Scientist youll play a key role in designing developing and deploying agentic AI solutions that understand financial domain complexities and deliver trustworthy explainable results. Youll be involved in single and multi-agent design prompt engineering context engineering advanced evaluation of agentic workflows RAG (Retrieval-Augmented Generation) systems and other agent-related topics. Youll collaborate with cross-functional teams including software engineers product managers and other data scientists to deploy and iterate on scalable AI solutions.

The perfect candidate doesnt need to fulfill all the requirements listed belowwe are looking for talented colleagues who are willing to learn motivated and brave enough to tackle complex problem-solving challenges.

Keywords: AI GenAI AI Agents LLM LangGraph LangChain RAG Python Databricks Mosaic AI Vector Databases Prompt Engineering

Essential duties and responsibilities:

Proactively assist in the design development and testing of production-ready AI agent systems for financial applications
Work closely with senior team members to implement evaluate and optimize AI agents using techniques such as promptcontext engineering few-shot learning and chain-of-thought reasoning
Support data extraction preparation and feature engineering including maintaining vector stores and embedding pipelines for RAG systems
Contribute to the development of evaluation frameworks to assess agent performance accuracy hallucination detection and response quality
Collaborate with cross-functional teams to define agent requirements performance metrics success criteria and deliverables
Participate in code reviews unit testing integration testing and documentation to ensure code quality reproducibility and maintainability
Stay updated on the latest research and developments in LLMs agentic frameworks and foundation models.
Research and experiment with emerging approaches to advance agent systems in terms of efficiency accuracy reasoning capabilities and reliability

Education Experience & Skills:

3 years of hands-on experience in data science or applied machine learning
Masters degree (or equivalent) in Computer Science Data Science Machine Learning Statistics or related field
Strong programming skills in Python with knowledge of software engineering best practices (version control testing documentation)
Hands-on experience with LLMs and modern AI frameworks including:

- LangChain LangGraph or similar agent orchestrations

- OpenAI API Anthropic API or other LLM APIs.

- Vector databases (Pinecone Weaviate ChromaDB FAISS).

- Prompt engineering and prompt optimization techniques.

Solid understanding of NLP concepts: embeddings (Word2Vec BERT sentence transformers) semantic search transformers architecture attention mechanisms tokenization and fine-tuning
Knowledge of RAG systems: document chunking strategies retrieval mechanisms context window management and hybrid search approaches
Strong foundation in classical ML: supervised/unsupervised learning evaluation metrics (precision recall F1 ROC-AUC) cross-validation and hyper-parameter tuning
Familiarity with data platforms like Databricks is a plus
Excellent analytical problem-solving and communication skills.
Courage to innovate and introduce AI agents to solve complex fintech challenges
Collaborative team player comfortable working in an agile cross-functional environment
Attention to detail and commitment to delivering high-quality well-documented work
Intermediate (at least) English level with good verbal and written communication skills.

Its fun to work in a company where people truly BELIEVE in what theyre doing!Were committed to bringing passion and customer focus to the business.About UsKyriba is a global leader in liquidity performance that empowers CFOs Treasurers and IT leaders to connect protect forecast and optimize their li...