Data Scientist

xyt; Wrocław; On-site; PLN 180,000 - 320,000; Full time

Benefits offered by this job

Competitive salary

International environment

Internal training

Medical care package

Life insurance

Sports package

Job summary

xyt in Wroclaw seeks a data science software engineer who thrives at the crossover of data science, software engineering and AI. You will research analytics approaches for market data and turn them into production-grade code to support AI in R&D.

Collaborate with product, engineering and client-facing teams to translate business questions into data-driven answers and automated workflows. Strong Python, time-series analytics and proactive problem solving are essential; English communication is

Qualifications

• Strong Python knowledge and time-series experience.
• Solid grounding in statistics and data analysis.
• Analytical thinking and problem solving.
• Basic knowledge of SQL and database concepts.
• Hands-on experience with AI tools for coding and research.
• Good software engineering habits: Git, testing, code review.
• Willingness to learn and take initiative daily.
• Excellent English communication (B2+).
• Bachelor or Master in Mathematics/Physics/CS or related field.

Responsibilities

• Research, prototype and validate analytics on large-scale market data.
• Turn research prototypes into production-ready, tested code.
• Use AI tools for literature research, analysis, coding and docs.
• Review AI-generated code and results for correctness and performance.
• Collaborate with product, engineering and client teams to answer business questions with data-driven workflows.

Skills

Python

Time-series analysis

Statistics

Analytical thinking

English communication

Git & testing

AI tooling (Copilot)

Education

BSc/MSc in Math/Stats/CS

Tools

Git

SQL

TensorFlow/PyTorch

Claude/Copilot

Job description

About usxyt is at the forefront of data innovation, managing vast datasets of stock exchange data through our advanced cloud infrastructure. We tackle complex projects that challenge conventional thinking, providing our partners with the analytics, insights and visualisations to unlock the full potential of market data. Processing petabytes of data efficiently pushes us to the limits of both technology and software engineering. Join us on this exciting journey!

About the role

We are looking for someone who works comfortably at the crossover of data science software engineering and AI. You will research new analytical approaches to market data, turn them into well-engineered production code, and help shape how our team uses AI in research and development.

What you will do

• research, prototype and validate new analytics and metrics on large-scale market data
• turn research prototypes into clean, tested and maintainable production code
• use AI assistants (e.g. Claude, GitHub Copilot etc.) for literature research, exploratory analysis, coding, testing and documentation
• critically review AI-generated code and results for correctness, performance and statistical soundness
• work closely with product, engineering and client-facing teams to turn business questions into data-driven answers and automated workflows

Requirements

• solid knowledge of Python; experience with Java or C# is a plus
• good grounding in statistics and data analysis, including working with time series
• analytical thinking and problem solving
• at least basic knowledge of SQL and database concepts
• hands-on experience using AI tools for coding and research, and the judgement to know when not to trust their output
• good software engineering habits: version control (Git), testing, code review, readable code
• willingness to learn, explore and take a proactive approach to daily work and problem solving
• good communication skills in English, both verbal and written (B2 or higher)
• BSc or MSc in Mathematics, Physics, Statistics, Computer Science or a related field preferred

Advantageous

• knowledge of financial markets, e.g. equities, order books, market microstructure, trading or transaction cost analysis
• experience building tools or workflows on top of LLM APIs, such as agents, retrieval or automated evaluation

We offer

• competitive salary based on your skills
• work in an international environment with highly renowned clients
• interesting and challenging projects in an open and positive atmosphere
• over 70% of work time spent on new functionality and features
• access to modern AI tools for your daily work
• internal training (IT and Finance)
• agile environment with minimal bureaucracy and flat management structure
• medical care package
• life insurance
• sports package

Recruitment process

• We review your application.
• We ask you to fill a questionnaire (check your spam folder if you've applied but did not receive anything)
• We invite selected candidates to an interview.
• We share our decision with you.