Analyze complex financial services data to identify patterns, anomalies, suspicious activities, and potential risks using forensic data analysis techniques.
Develop and implement data processing and analytical solutions using Python, PySpark, and relevant big data technologies.
Design, build, and manage data science workflows and pipelines using tools such as MLflow and Airflow.
Collaborate directly with technical and business stakeholders to understand customer challenges, translate requirements into analytical solutions, and drive projects independently from concept to delivery.
Explore and implement innovative solutions using machine learning, LLMs, and agentic AI workflows to improve analytical capabilities and automate data-driven processes.
O pozici / o projektu
Původní popisek. We are seeking a highly motivated Junior Data Scientist to join our growing team and help deliver innovative machine learning and analytics solutions for complex business challenges.
... and cost controls. - Set and enforce the engineering standard, review code and mentor the second engineer on the team. O pozici / o projektu Původní popisek. Matrix Eastern Europe, the offshore division of Matrix IT, one of the leading global R&D services companies with more than 11,000 professionals, is looking for a Senior ...
We are looking for an experienced Senior Data Scientist for our client, the biggest IT distributor in the world. The company has built a strong data analytics capability, focused on creating predictive insights, automation of business processes and personalization of partner interactions. A crucial building block of their ...
... much bigger problem: not just reading the documents, but acting on them. About the Role Sourcing is where the money is actually decided. We are expanding our Data Capture Research team in Prague with a Senior Data Scientist to work on Sourcing. Which suppliers get invited. How the event is structured. How bids that differ ...
Popis pozice As a Data Scientist, we expect you to: - be responsible for researching and evaluating solutions to complex ML problems - help data engineers build a production-ready product based on the proposed solution - be comfortable applying knowledge from academic papers to day-to-day work - be up to date with current ...
... danymi, - dedykowane zespoły projektowe. Co oferujemy w ramach współpracy? - możliwość świadczenia usług w różnorodnych projektach z obszaru Software, Embedded, Data i Cloud Services, - zaangażowanie w dodatkowe inicjatywy presealsowe oraz eksperckie , - dostęp do opieki medycznej, karty sportowej oraz platformy kafeteryjnej ...
... promotional strategies by forecasting sales volume, measuring promotion effectiveness, and analyzing price elasticity of demand. We are looking for a Regular/Mid Data Scientist to join us in developing and deploying analytical models, working with real market challenges and large-scale sales data. Work Mode Fully remote. On-site ...
... danymi, - dedykowane zespoły projektowe. Co oferujemy w ramach współpracy? - możliwość świadczenia usług w różnorodnych projektach z obszaru Software, Embedded, Data i Cloud Services, - zaangażowanie w dodatkowe inicjatywy presealsowe oraz eksperckie , - dostęp do opieki medycznej, karty sportowej oraz platformy kafeteryjnej ...
... modeli) O pozici / o projektu Původní popisek. Dla naszego Klienta – międzynarodowej organizacji technologicznej rozwijającej zaawansowane rozwiązania w obszarze data science – poszukujemy osoby na stanowisko Data Scientist, która dołączy do zespołu pracującego nad modelami optymalizacyjnymi i analityką na dużą skalę. Rola ...
... much bigger problem: not just reading the documents, but acting on them. About the Role Sourcing is where the money is actually decided. We are expanding our Data Capture Research team in Prague with a Senior Data Scientist to work on Sourcing. Which suppliers get invited. How the event is structured. How bids that differ ...
... available data. - Build and test models quickly. Develop practical solutions using statistical methods, machine learning, deep learning, or existing models and services where appropriate. - Prepare trustworthy data. Profile, cleanse, join, and validate noisy datasets while checking completeness, freshness, distributions, nulls, ...