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Uni Systems
Uni Systems
1001 – 5000 Darbinieki
KonsultācijasLoģistikaVeselības aprūpe
Uni Systems ir informācijas un komunikācijas tehnoloģiju uzņēmums, kas palīdz organizācijām modernizēt darbību, izmantojot digitālo transformāciju. Uzņēmuma darbība aptver infrastruktūru un operācijas, mākoņtehnoloģijas un datu centru tehnoloģijas, kiberdrošību, uzņēmumu platformas, lielo datu analītiku, jaunās tehnoloģijas un mākslīgo intelektu. Uzņēmums atbalsta klientus banku, valsts pārvaldes, telekomunikāciju, veselības aprūpes, mazumtirdzniecības, konsultāciju un loģistikas nozarē, apvienojot tehnoloģiskās zināšanas ar nozarei pielāgotiem risinājumiem. Uni Systems profils atspoguļo darbu plaša mēroga IT risinājumu ieviešanas, inovāciju, ilgtspējas un digitālās ētikas krustpunktā.
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Vakances uzņēmumā

Data Scientist, AI and NLP | Uni Systems

Develop machine learning, natural language processing, and analytics solutions for Uni Systems’ public-sector customers. Shape data architectures, models, interfaces, and analytical systems.

ITItālijaHibrīdiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
.NETElasticsearchETLJavaJavaScriptMongoDBMS SQL ServerMySQLNode.jsNoSQLNumpyOpenShiftPandasPostgresPythonScikit-LearnSpringSpring BootSQLTableauUnix

Apraksts

  • Assess user needs and requirements
  • Recommend implementation options that address user requirements
  • Design end-to-end system architectures
  • Help implement the selected architectures
  • Develop quality, security, and architecture plans and support their delivery
  • Design presentation interface specifications and designs for usability and user experience, then follow through on implementation
  • Gather, transform, and maintain varied data types and datasets across multiple locations
  • Build data models to address defined problems
  • Write scripts and code
  • Help design and implement analytics architecture and its solution stack, accounting for performance, physical design, and capacity
  • Prepare project documentation and coordinate with other teams on cross-project dependencies
  • Collaborate closely with public-sector customers
  • Find profitable opportunities to develop new business
  • Build lasting client relationships and manage client portfolios
  • Track project progress and provide client service and added-value support

Prasības

  • A master’s degree and at least 3 years of relevant professional experience
  • At least 3 years’ experience in statistical computing and data visualization with R, SAS, SPSS, STATA, or equivalent platforms
  • At least 2 years’ experience scripting and programming with Python and JavaScript
  • At least 2 years’ experience in database architecture and query development across SQL and NoSQL technologies, including MySQL, PostgreSQL, Microsoft SQL Server, MongoDB, and Elasticsearch
  • At least 1 year of experience using Python to collect, clean, process, and analyze structured and unstructured data with pandas, NumPy, or equivalent tools
  • At least 1 year of experience applying machine learning and NLP to text for information extraction, document classification, clustering, and semantic similarity, using spaCy, scikit-learn, Sentence Transformers, or equivalent technologies
  • At least 1 year of experience using large language models for structured information extraction, classification, and summarization, including prompt development and checking outputs against source evidence
  • At least 1 year of experience evaluating data quality and analytical outputs, including comparisons with human-reviewed examples, error analysis, and documentation of uncertainty and limitations
  • At least 1 year of experience identifying trends and patterns, synthesizing information from multiple sources, and preparing English-language analytical summaries, reports, or briefs with accurate references and clearly presented findings
  • Strong knowledge of data analytics methods and their mathematical foundations
  • Basic knowledge of multivariate analysis and principal component analysis is desirable
  • Strong machine learning and NLP background
  • Expertise in one or more of predictive modelling, forecasting, prescriptive analytics, simulation, sentiment analysis, topic detection, social media analytics, trend and anomaly detection, or recommendation systems is desirable
  • Proficiency with business intelligence, data visualization, and ETL tools such as SAP, BusinessObjects, Tableau, and Talend Open Studio
  • Knowledge of web application architectures, including HTML5, CSS3, APIs, and backend technologies such as .NET/C#, Node.js/Express.js, and Spring Boot/Java
  • Experience with Unix environments and DevOps practices, including continuous integration and delivery, automated testing, containerization, and orchestration using tools such as GitLab and OpenShift
  • Good spoken and written English communication skills

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