Jobs Data & Analytics

The company is a healthcare data analytics provider offering modern data infrastructure, reporting, and AI‑driven insights. Their technology focuses on improving how healthcare organizations manage, analyze, and use clinical data.

Core Solutions

•  Healthcare data platform: Consolidates structured and unstructured patient data in near real time to create a unified data foundation.

•  Longitudinal clinical data ecosystem: Enables comprehensive management and analysis of patient information.

•  Patient engagement platform: Integrates data from multiple sources to support secure communication and holistic patient care.

•  Population health management suite: Aggregates clinical and claims data, identifies at‑risk groups, and supports interventions to improve outcomes and reduce costs.

•  Care coordination and analytics tools: Provide a complete view of patient data to enhance quality, reduce costs, and support risk stratification.

•  AI and analytics services: Transform healthcare data into actionable insights for better care and operational efficiency.

Main expectations:
1.  Strong Python 3.x backend development (Flask + multithreading)
2.  Solid SQL skills and hands‑on experience with PostgreSQL
3.  Practical experience with BigQuery and Google Cloud services
4.  Containerization skills (Docker/Podman) and basic Kubernetes knowledge
5.  ETL/ELT pipeline experience and large‑scale data processing

Conditions:

• Compensation: 5500–6500 USD/month

• Contract: B2B

• Remote‑friendly

Project Description:

Reporting and Analytics BI team covers company-wide corporate reporting needs. Interacting with internal clients (Luxoft Executive, Engineering and Corporate functions management teams) we build Tableau reporting and data analysis covering different internal Luxoft processes and practices.
Our work is not just to produce dashboards and code, but, together with the business, dive into the essence of key processes and create an advantage for the company in the global market using data-driven decision making. The results energize us to set the bar higher and build best-in-class BI Project.
Our team is around 20 people and looking to expand. We use Tableau / Power BI as the main dashboarding tools and connect MS SQL database where we store most of the data

Responsibilities:

BI Reports Development
• Exploring the data from corporate systems and development the layer of reliable data sources together with the DWH team
• Design & development of outstanding dashboards and performing UAT with a customer
• Taking care of technical documentation that really helps customers to understand reports and allows the team to manage the content in efficient way
• Release preparation and presenting results to end-users
Project management
• Take part in regular syncs with customers on backlog prioritization, blockers, and fast-tracks resolving
• Take part in collecting and merging requirements from different customer groups
Development of data & analytics services
• Drive companywide projects like data catalog, self-service BI, glossary etc.
• Work on BI efficiency initiatives like access management and design excellence
• BI Governance - monitoring of background tasks (extracts, subscriptions, etc.), reports adoption & user's behavior

Mandatory Skills Description:

Analyst-engineer-dashboardologist-designer - all qualities are presented and one is pronounced
2+ year hands on experience with one of BI tools such as Tableau, Qlik, Power BI, etc.
Strong skills in SQL
Bachelor's Degree or higher education level
Strong data analysis skills
Good presentation and data visualization skills
Great attention to details, structured and analytical approach, critical and logical thinking

Nice-to-Have Skills Description:

Practical experience with other BI tools such as Qlik, Power BI, etc.

We are looking for a meticulous and analytical Pre-Payroll Specialist to ensure accurate, transparent, and automated reporting. In this role, you will play a key part in detecting anomalies and systemic fraud, ensuring full compliance with international labor laws, and delivering zero-error data to our Pre-Payroll and Accounting teams.

Responsibilities

• Daily monitor logs and system activity to ensure alignment with our policies.
• Conduct regular audits and behavioral pattern analysis to detect potential fraud.
• Audit and verify all logged overtime, night shifts, and offset balances prior to payout approval
• Timely prepare, format, and deliver clean, audited reports (worked hours, overtimes, adjustments) to the accounting team.
• Configure and maintain internal system logic, including work schedules, global holiday calendars, time-rounding rules, and approval policies.
• Monitor and enforce compliance with regional labor laws regarding maximum working hours, mandatory breaks, and overtime limits across all operating hubs.
• Resolve employee and manager support tickets, system technical glitches, and policy guidelines within defined SLAs.

Requirements

• At least 1 year of hands-on experience in Pre-Payroll administration, HR operations, internal audit, or payroll support.
• Proficiency in Excel / Google Sheets (pivot tables, complex formulas, data validation).
• Proven experience managing HRIS and ticketing systems (e.g., PeopleForce, Jira).
• Strong background in data analytics, ticket management, and operating within strict SLA baselines.
• Bachelor’s degree in Business Administration, Economics, Human Resources, Information Systems, Applied Mathematics, or a related field.
• Intermediate level of English (written and spoken).
• Extreme attention to detail, analytical mindset, and strict adherence to confidentiality and ethical standards.
• Background in internal audit, fraud detection, or cross-border labor law compliance will be a plus.

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

About the client:
Our client's platform is designed to work with sales representatives and automate as much of their work as possible, in order to allow them to connect with their clients and make their communications faster. The company also provides intelligence to team managers with performance insights, allowing them to coach their sales reps more effectively.

About the role:
As a Machine Learning Engineer in the Conversational Intelligence Team you will be responsible for building systems that process real-time audio and text streams from Knowledge AI Assistant. You will build scalable machine learning platforms and systems to handle large quantities of data. Engineer low-latency and high-throughput ML systems that must scale for growing business.

Responsibilities:
- Working with voice streams and real-time transcriptions of voice streams to extract intelligence and actionable insights for customers
- Analyzing the relevance of extracted intelligence, performance of the extraction algorithms, and evaluating the performance of third party voice processing APIs
- Finding ways to engineer high availability into a system that has lots of moving parts, not all of which are directly under your control
- Working with stakeholders to make sure our customers have the tools they need to be successful on our platform
- Finding quick ways to prototype and test possible solutions to large problems
- Looking across the stack for the best return on investment for any given pain point.

Requirements:
- 4+ experience in Machine Learning area
- Experience with LLM's
- Experience with cloud-based data platforms and continuous-deployment projects
- Experience with implementing machine learning pipelines
- Willing to go above and beyond to help other team members
- Ability to prioritize details along a path of iterative delivery
- Ability to quickly ramp up new technologies and start contributing.

Company Description

Are you a Senior Data Engineer passionate about building scalable, high-performance data platforms and working with modern Lakehouse technologies? Join Sigma Software’s Data Engineering Center of Excellence and contribute to the modernization of an enterprise-scale analytics ecosystem for the retail domain.
We are looking for a Senior specialist with strong Databricks, PySpark, and cloud data engineering expertise to participate in the migration of a large-scale analytical platform from BigQuery to Databricks. You will collaborate with international teams, contribute to architectural decisions, and help shape reliable and scalable data solutions.
We at Sigma Software create opportunities for continuous learning, technology growth, and meaningful engineering impact while working on complex international projects.

CUSTOMER

Our Customer is a leading retail technology company specializing in AI-driven pricing optimization solutions for enterprise retailers. The company helps businesses improve profitability and competitiveness through advanced analytics, automation, and intelligent pricing strategies. Their platform combines business intelligence with sophisticated algorithms to support data-informed pricing decisions at scale for global retail organizations.

PROJECT

The project focuses on the strategic migration of a large-scale analytical platform from a legacy BigQuery ecosystem to a modern Databricks Lakehouse architecture. The platform processes high-volume retail datasets, machine learning workloads, analytics pipelines, and customer-specific business logic.
As part of the modernization initiative, the engineering team is implementing scalable Spark-based processing, Delta Lake architecture, medallion data layers, and modern governance practices. The role offers an opportunity to work with distributed data processing systems, optimize large-scale workloads, and contribute to the evolution of an enterprise-grade data platform.

Key Technologies: Databricks, Apache Spark, PySpark, Delta Lake, Python, SQL, Airflow, GCP, CI/CD, Unity Catalog

Job Description

• Participate in the migration of a large-scale analytical platform from BigQuery to Databricks
• Design and implement scalable Lakehouse architectures using Databricks and Delta Lake
• Analyze existing ETL / ELT workloads and define migration approaches
• Develop and optimize data pipelines processing large volumes of retail and analytical data
• Implement incremental processing strategies and scalable transformation frameworks
• Build and maintain Spark-based data processing solutions using PySpark
• Design and maintain medallion architecture layers including Bronze, Silver, and Gold
• Implement data governance and security best practices using Unity Catalog
• Collaborate with Data Science, Analytics, Product, and Customer Engineering teams
• Participate in architecture discussions and technical solution design
• Develop reusable data platform components and engineering standards
• Conduct code reviews and contribute to platform reliability and maintainability
• Troubleshoot and optimize complex SQL and Spark workloads
• Support production deployments and platform modernization activities

Qualifications

• 5+ years of professional experience as a Data Engineer
• Strong programming skills in Python and advanced SQL
• Hands-on commercial experience with Databricks
• Strong knowledge of Apache Spark, primarily PySpark
• Experience designing and building modern cloud-based data platforms
• Experience developing ETL / ELT pipelines and large-scale data processing solutions
• Hands-on experience with Delta Lake
• Experience with Spark Declarative Pipelines
• Experience with cluster monitoring, metrics analysis, and performance optimization
• Strong understanding of distributed data processing architectures
• Solid understanding of data warehousing concepts and dimensional modeling
• Experience with Airflow or similar orchestration tools
• Experience optimizing complex analytical SQL workloads
• Experience implementing CI / CD practices for data engineering platforms
• Strong troubleshooting and performance optimization skills
• Ability to work collaboratively in cross-functional international teams
• Upper-Intermediate or higher English level

WILL BE A PLUS

• Experience working with GCP cloud services
• Experience with AWS or Azure cloud platforms
• Experience in retail analytics or pricing optimization domains
• Experience supporting machine learning or AI-related data workloads
• Experience with platform modernization and cloud migration initiatives

Additional information

PERSONAL PROFILE

• Strong analytical and problem-solving mindset
• Proactive and ownership-driven approach
• Ability to work independently and collaboratively
• Good communication and stakeholder collaboration skills
• Passion for scalable data engineering and modern data platforms
• Interest in continuous learning and technology innovation

Key responsibilities

• Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost.
• Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance.
• Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Must have

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of IT experience, including 5+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms.
• 5+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs.
• Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements.
• Enterprise AI enablement experience: designing solutions with Azure OpenAI and retrieval-augmented (RAG) patterns.
• BI/analytics architecture experience with Power BI or a similar enterprise BI technology.

Advantages

• Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns.
• Experience with Microsoft-first AI platforms and services such as Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns.
• Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions.
• Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault.
• Experience in life sciences, pharmaceuticals, or other regulated industries.
• Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture.

Key skills

• Hands-on technical leadership with a clear lead-by-example mindset.
• Strong architecture judgment across data, analytics, AI, integration, security, and non-functional requirements.
• Proven ability to own solution architecture end to end: shape target designs, validate them through prototyping or proof of concept where needed, guide delivery teams through implementation, and provide technical oversight through design reviews and production readiness checks.
• Ability to translate business problems into practical, delivery-ready technical solutions.
• Strong troubleshooting, decision-making, estimation, and risk management capability.
• Comfort working across distributed teams and external suppliers in enterprise delivery environments.
• Excellent communication skills in English, with the ability to drive alignment across architects, delivery teams, business stakeholders, and enterprise control functions.

Core technology stack

• Analytics: Power BI, semantic models, DAX, Power Query, Databricks, enterprise reporting and governance.
• Data platform: Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration.
• AI platform: Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow.
• Engineering and governance: Azure DevOps, GitHub Enterprise, CI/CD, Microsoft Entra, Purview, Key Vault.
• Optional / advantageous: Microsoft Fabric, Python, data observability and monitoring patterns.

Kernel — the world's largest producer and exporter of sunflower oil and a key supplier of agricultural products from the Black Sea region to global markets — is looking for a Financial Modeling Engineer to join our FP&A team.

This role sits at the intersection of financial modeling, FP&A, and AI. You'll own the financial models and forecasts that drive management decision-making, while building the next generation of FP&A processes — where AI handles the routine work, not people.

We're looking for someone who already builds with AI and wants to go further: deepening these skills and applying them at scale in a large business.

What you'll do:

• Develop and maintain financial models forecasting performance across business divisions
• Run scenario analysis and sensitivity testing on key assumptions
• Analyze investment projects and prepare materials for investment decisions
• Build AI-powered solutions (prompts, skills, agents) for FP&A processes — forecasting, scenario modeling, variance analysis, commentary generation
• Turn dashboards and reports into actionable insights for leadership
• Distill large volumes of analytics into decision-ready formats
• Identify manual, repetitive FP&A processes and automate them end-to-end — tracking impact through hours saved, faster reporting, and fewer errors

What we're looking for:

• 3+ years of experience in financial modeling and investment analysis
• Advanced Excel skills — building structured, scalable financial models
• CFA Level 1 (minimum, completed)
• Experience with Power BI and Power Query for data transformation and visualization
• Strong motivation to advance AI adoption in financial modeling and FP&A
• Ability to validate AI-generated outputs for accuracy against source data
• Experience with at least one low-code automation platform (Power Automate, n8n, Zapier)

Nice to have:

• Daily hands-on use of AI assistants (Claude, ChatGPT) in your workflow
• Experience building AI agents or automations deployed in real business processes
• Experience connecting AI to internal systems via MCP
• Background in Big 4, consulting, or investment banking
• CFA Level 2–3 completed

What we offer:

• Official employment
• Competitive salary with regular reviews and clearly defined bonus terms
• Draft exemption (military reservation) for employees
• Free training and professional development
• Downtown office with a shelter
• Medical insurance

#Hiring #FP&A #FinancialModeling #AI #Kernel #JobOpening

About This Role:

We're looking for a Senior, dbt-specialised Analytics Engineer to build and maintain the business-critical data models behind the client's credit, payments, and fraud/AML reporting. Our client is a fast-growing European fintech company in the business spend management space — corporate cards and related financial products — serving SME and mid-sized business customers across the EU and UK, in a regulated environment with GDPR compliance obligations. Engineering is organized into cross-functional squads, with platform/enabling teams providing shared tooling horizontally. The client already runs an AI-native engineering practice: Claude Code and GitHub Copilot are used daily, supported by a growing library of shared, versioned Skills embedded in key repositories, enabling an end-to-end flow from ticket to implementation, testing and PR in several codebases. AI tool/connector rollout follows an approved-list and pilot process. The client is AWS-first overall; for data platform and analytics workloads it also runs GCP, with BigQuery as the primary data warehouse. Day-to-day coordination is Slack-first, with Linear for ticket tracking, GitHub for code/PR review, and Notion as the knowledge base.

Key Responsibilities:

• Build and maintain business-critical dbt data models.
• Model data powering credit, payments, and fraud/AML reporting (working from aggregated/modeled data, not raw access to real customer/transaction data — see note above).
• Apply strong SQL and data-modelling skills.
• Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.
• Embed directly into a client squad as a hands-on Individual Contributor (not a coaching/managerial role).

Must-Have Skills:

• Experience with dbt.
• Strong SQL and data-modelling skills.
• Experience building and maintaining business-critical data models for credit, payments, and fraud/AML reporting.
• BigQuery — the client's stated primary data warehouse for data platform and analytics workloads.
• Experience with fintech domain. 

Nice-to-Have Skills:

• Git — standard, expected tooling, but not explicitly named in the RFP for this role.

At TechBiz Global, we provide recruitment services to top clients from our international portfolio. We are currently looking for a Senior Data Scientist with strong hands-on experience in training AI models, particularly Large Language Models (LLMs) and Small Language Models (SLMs), using GPU infrastructure and real-world datasets.

The ideal candidate should be based in Poland and able to clearly demonstrate their technical expertise, explain the tools and frameworks they use, and describe the complete model-training process—from data preparation to deployment and performance optimisation.
 

Key Responsibilities

• Train, fine-tune, and optimise LLMs and SLMs using GPU infrastructure.
• Build and manage end-to-end machine learning training pipelines.
• Prepare, clean, structure, and process large volumes of real-world data.
• Select appropriate models, frameworks, tools, and training approaches based on project requirements.
• Apply techniques such as supervised fine-tuning, transfer learning, prompt tuning, and parameter-efficient fine-tuning.
• Monitor model performance and improve accuracy, speed, scalability, and resource utilisation.
• Work with structured, unstructured, time-series, telemetry, log, and streaming data.
• Clearly document and explain the tools, methods, and technical decisions used throughout the model-training process.
• Collaborate with engineering, data, and business teams to move models from experimentation into production.
• Troubleshoot issues related to model quality, training stability, GPU performance, and data pipelines.

Requirements: 

• Proven professional experience as a Data Scientist, Machine Learning Engineer, AI Engineer, or similar role.
• Strong hands-on experience training or fine-tuning LLMs and/or SLMs.
• Practical experience using GPUs for AI model training.
• Strong Python programming skills.
• Experience with machine learning and deep-learning frameworks such as:
  • PyTorch
  • TensorFlow
  • Hugging Face Transformers
• Experience with GPU-related technologies and environments, such as CUDA, distributed training, cloud GPU platforms, or GPU clusters.
• Strong understanding of model-training workflows, including data preparation, tokenisation, model selection, training, evaluation, and optimisation.
• Ability to clearly explain previous AI projects, tools used, technical challenges, and achieved results.
• Experience working with large and complex datasets.
• Good English communication skills.
• Based in Poland.
   

Relevant Industry Experience

• Experience in one or more of the following industries or data environments would be highly valuable:
• E-commerce
• Finance or banking
• Insurance
• Healthcare or medical data
• Telemetry and IoT data
• Application or system logs
• Real-time and streaming data

• High-volume enterprise data environments

   

Nice to Have

• Experience with distributed model training.
• Experience with LoRA, QLoRA, PEFT, quantisation, or model compression.
• Experience with MLOps tools and model deployment.
• Knowledge of Docker, Kubernetes, MLflow, or similar technologies.
• Experience using AWS, Azure, or Google Cloud for AI workloads.
• Experience deploying AI models into production environments.
• Knowledge of data privacy, security, and governance requirements.

Project Description:

Reporting and Analytics BI team covers company-wide corporate reporting needs. Interacting with internal clients (Luxoft Executive, Engineering and Corporate functions management teams) we build Tableau reporting and data analysis covering different internal Luxoft processes and practices.
Our work is not just to produce dashboards and code, but, together with the business, dive into the essence of key processes and create an advantage for the company in the global market using data-driven decision making. The results energize us to set the bar higher and build best-in-class BI Project.
Our team is around 20 people and looking to expand. We use Tableau / Power BI as the main dashboarding tools and connect MS SQL database where we store most of the data

Responsibilities:

BI Reports Development
• Exploring the data from corporate systems and development the layer of reliable data sources together with the DWH team
• Design & development of outstanding dashboards and performing UAT with a customer
• Taking care of technical documentation that really helps customers to understand reports and allows the team to manage the content in efficient way
• Release preparation and presenting results to end-users
Project management
• Take part in regular syncs with customers on backlog prioritization, blockers, and fast-tracks resolving
• Take part in collecting and merging requirements from different customer groups
Development of data & analytics services
• Drive companywide projects like data catalog, self-service BI, glossary etc.
• Work on BI efficiency initiatives like access management and design excellence
• BI Governance - monitoring of background tasks (extracts, subscriptions, etc.), reports adoption & user's behavior

Mandatory Skills:

Analyst-engineer-dashboardologist-designer - all qualities are presented and one is pronounced
2+ year hands on experience with one of BI tools such as Tableau, Qlik, Power BI, etc.
Strong skills in SQL
Bachelor's Degree or higher education level
Strong data analysis skills
Good presentation and data visualization skills
Great attention to details, structured and analytical approach, critical and logical thinking

Nice-to-Have Skills Description:

Practical experience with other BI tools such as Qlik, Power BI, etc.

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

We are looking for a Senior AI Developer to join our CEE IT Digital Solutions team and build high-quality enterprise AI solutions.

You will work closely with other developers, business analysts, project managers, security teams, and other stakeholders to design, develop, deploy, and support AI-based solutions built primarily on the Microsoft Power Platform and Azure ecosystem.

This role is ideal for a hands-on developer with strong experience in Microsoft Copilot Studio, Microsoft Foundry, AI agents, Azure services, and modern AI engineering frameworks. The developer should be able to quickly prototype, deliver MVPs, and build production-ready solutions. Continuously improving AI solutions while applying strong engineering, security, and delivery practices is required. 

What You’ll Do:

• Build, test, deploy, and support AI-based solutions using Microsoft Copilot Studio, Microsoft Foundry, Azure and related technologies. 
• Design and implement AI agents, workflows, orchestration patterns, integrations, and Human-in-the-Loop solutions. 
• Develop AI-powered applications, APIs, services, prototypes, MVPs, and production-ready solutions. 
• Implement RAG, knowledge grounding, embeddings, chunking, and vector search approaches to improve AI solution quality and relevance. 
• Build integrations with other enterprise systems, Microsoft services, databases, APIs, and cloud services. 
• Develop solutions using Azure services such as App Services, Functions, Blob Storage, Key Vault, Azure SQL, and other Azure platform services. 
• Optimize prompt engineering strategies, model selection, evaluation, monitoring, observability, and continuous improvement of AI solutions. 
• Troubleshoot, debug, optimize, and maintain AI solutions across development, testing, and production environments. 
• Create reusable assets, templates, write technical documentation, and engineering best practices. 
• Support members to grow AI engineering capabilities across the team. 

What We’re Looking For:

• 5+ years of experience in software engineering, application development, or intelligent automation development. 
• 2+ years of experience designing and delivering AI, GenAI, intelligent automation, or machine learning solutions. 
• Advanced hands-on experience with Microsoft Copilot Studio - agents, workflows, evaluation, orchestration, integrations, skills, topics etc. 
• Strong hands-on experience with Microsoft Foundry including custom agent hosting on Foundry. 
• Strong experience with Azure OpenAI and Azure AI Search. 
• Proficient Python development skills. 
• Basic knowledge of Streamlit for building AI applications, demos, internal tools, or prototypes. 
• Strong understanding of REST APIs and hands-on experience with API development frameworks and tools such as Spring Boot, FastAPI, Express.js or similar technologies. 
• Practical experience with Azure clous services such as App Services, Azure Functions, Blob Storage, Key Vault, Azure SQL, storage, integration, and other Azure platform services. 
• Hands-on experience with SQL and relational databases for application development, data analysis, and troubleshooting. 
• GitHub and source control knowledge. 
• Prompt Engineering skills. 
• MCP - Model Context Protocol applied knowledge. 
• Be familiar with LangChain and/or LangGraph 
• Strong understanding of AI-assisted software development practices, including the effective use of tools such as M365 Copilot, Cursor AI, Claude Code, and similar AI-powered engineering assistants. 
• Solid knowledge of embeddings, chunking strategies, vector search architectures, and RAG implementations. 
• Experience implementing agentic workflows, orchestration patterns, multi-agent solutions, and Human-in-the-Loop AI workflows. 
• Experience with LLM evaluation techniques, AI quality metrics, benchmarking approaches, and solution evaluation methodologies. 
• AI observability, tracing, and monitoring concepts. 
• AI cost optimization and token consumption awareness. 
• Ability to write clean, modular, maintainable, and well-documented code. 
• Ability to communicate effectively with both technical and business audiences. 
• Fluent spoken and written English. 

What Is Nice to Have:

• Power Platform - Power Automate. 
• Azure DevOps CI/CD. 
• Microsoft Graph API. 
• Agentic frameworks: Microsoft Agent Framework, AutoGen, CrewAI, and other modern agentic frameworks. 
• Vector Databases knowledge: Qdrant, ChromaDB. 
• Data & Analytics Platforms: Databricks, Microsoft Fabric. 
• Containers, Docker, Kubernetes. 
• Voice agents and conversational AI solutions, including platforms such as ElevenLabs or similar providers. 

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

We are looking for a Junior AI Developer to join our CEE IT Digital Solutions team and help build innovative AI solutions for business users.

You will work closely with experienced developers, business analysts, project managers, security teams, and other stakeholders to support the design, development, testing, and maintenance of AI-powered solutions built primarily on Microsoft Copilot Studio, Power Platform, and the Azure ecosystem.

This role is ideal for someone who is passionate about AI technologies, enjoys learning new tools, and wants to grow their skills in enterprise AI development. You will have the opportunity to work on AI agents, automation solutions, and modern AI technologies while being supported by experienced team members. 

What You’ll Do:

• Assist in building, testing, deploying, and supporting AI-based solutions using Microsoft Copilot Studio, Power Platform, Azure, and related technologies. 
• Configure and maintain AI agents, workflows, topics, prompts, and integrations. 
• Support the development of AI-powered business applications, prototypes, and proof-of-concept solutions. 
• Work with enterprise knowledge sources to improve AI agent responses and user experience. 
• Create and maintain integrations with Microsoft services, APIs, and business applications. 
• Participate in solution testing, troubleshooting, issue resolution, and continuous improvement activities. 
• Contribute to technical documentation, user guides, and knowledge-sharing materials. 
• Learn and apply AI best practices, governance requirements, and security standards. 
• Collaborate with team members and stakeholders to understand business requirements and translate them into practical AI solutions. 

What We Need From You:

• 1–2 years of experience in software development, application support, automation, Power Platform, or a related technology role.
• Interest in Artificial Intelligence, Generative AI, intelligent automation, and modern digital technologies.
• Interest in building AI agents and workflow-based solutions.
• Basic Python skills (e.g., variables, functions, algorithms).
• Basic hands-on experience with Microsoft Copilot Studio, Power Platform, or similar low-code development platforms.
• Familiarity with Power Automate workflows and business process automation.
• Basic understanding of AI agents, prompts, and Generative AI concepts.
• Understanding APIs and application integrations.
• Understanding of Generative AI concepts such as RAG, vector search, and knowledge grounding.
• Basic knowledge of Azure services and cloud technologies.
• Familiarity with data sources such as SharePoint, Dataverse, SQL, or other business systems.
• Basic knowledge of GitHub or version control concepts.
• Strong problem-solving and analytical skills.
• Willingness to learn new technologies and continuously develop technical skills.
• Good communication skills and ability to work in a collaborative environment.
• Upper-intermediate English proficiency.

What Is Nice To have:

• Microsoft Foundry exposure.
• Familiarity with Azure services such as App Services, Functions, Storage, or Azure SQL.
• Awareness of agentic AI frameworks such as LangChain, LangGraph, AutoGen, or Microsoft Agent Framework.
• Microsoft Graph API knowledge.
• Azure DevOps, CI/CD, or GitHub workflows.
• Experience with Power BI, Microsoft Fabric, or other analytics platforms. 

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

Наш клієнт - один із провідних банків України, який поєднує багаторічну експертизу у фінансовій сфері із сучасними технологіями та data-driven підходом. Компанія розвиває цифрові продукти, інвестує в інновації та створює відкрите й інклюзивне середовище для професійного розвитку.

На цій посаді ви працюватимете з даними на всіх етапах - від визначення вимог і контролю якості до побудови моделей та перевірки їхньої цінності для бізнесу.

Роль поєднує машинне навчання, програмування та взаємодію з бізнес-командами. Ви досліджуватимете нові напрями, створюватимете моделі й прототипи, тестуватимете їх у реальних умовах та допомагатимете перетворювати дані на практичні рішення.

Вимоги:

• Повна вища освіта - магістр або спеціаліст;
• Грунтовне розуміння алгоритмів машинного навчання: логістична регресія, дерева рішень, ансамблеві моделі, boosting, GAM і GLM;
• Знання підходів deep learning, зокрема CNN або NLP;
• Впевнене володіння Python та бібліотеками машинного навчання, зокрема scikit-learn;
• Здатність писати якісний production-ready код;
• Розуміння Agile-підходів, DevOps-процесів та інструментів модульного тестування;
• Здатність швидко занурюватися в нові бізнес-домени та ефективно взаємодіяти з представниками бізнесу;
• Українська мова на хорошому усному й письмовому рівні;
• Англійська мова на рівні Intermediate або вище.

Задачі:

• Формувати вимоги до даних, визначати джерела, організовувати збір та контролювати якість даних;
• Розробляти ознаки для моделей, зокрема працювати зі складними конфігураціями та часовими рядами подій;
• Обирати оптимальну стратегію моделювання, алгоритми та архітектуру моделей;
• Перевіряти й аналізувати якість моделей та їхні результати з погляду бізнесу;
• Створювати прототипи та організовувати тестування моделей у реальних умовах;
• Проводити A/B-тестування, аналізувати результати та оцінювати економічну й бізнес-цінність рішень;
• Взаємодіяти з бізнес-командами та допомагати впроваджувати data-driven рішення.

Компанія пропонує:

• Офіційне працевлаштування;
• Конкурентну заробітну плату;
• Щорічний перегляд компенсації відповідно до результатів роботи;
• Медичне страхування та страхування життя, повністю оплачені компанією;
• 25 днів щорічної відпустки та додаткові дні відпустки;
• Професійне навчання у напрямах Data, SQL, BI, Agile, бізнес-аналітики та інших;
• Індивідуальний план розвитку за підтримки керівника або ментора

Вимоги:

• Досвід роботи в аналітиці від 1 року бажано у фінансовій сфері).
• Вміння працювати з великими обсягами даних та аналітичними інструментами.
• Володіння SQL та Excel на вискокому рівні
• Орієнтація на результат, увага до деталей і відповідальність.
• Готовність вчитися та розвиватися разом з компанією.
• Відсутність жорстких вимог до освіти — для нас важливі твої знання, навички та мотивація.

Умови роботи:

• Повну зайнятість з можливістю працювати з будь-якого куточка України.
• Конкурентну заробітну плату від 40 000 до 45 000 грн.
• Комфортну атмосферу, де цінують кожного співробітника.
• Можливості для професійного розвитку та навчання.
• Підтримку та дружню команду, яка завжди готова допомогти.

Обов’язки:

• Збирати, обробляти та аналізувати фінансові та операційні дані для підтримки прийняття рішень.
• Формувати звіти, які допоможуть керівництву розуміти тенденції ринку та ефективність продуктів.
• Виявляти ризики та можливості для оптимізації процесів і покращення сервісу.
• Співпрацювати з різними відділами для підготовки аналітичних матеріалів.
• Підтримувати бази даних у актуальному стані та забезпечувати якість інформації.

Міжнародна продуктова компанія шукає Data Infrastructure Engineer для роботи віддалено.

Компанія розробляє low-latency фінансову інфраструктуру для банків першого рівня в ЄС та США. Її системи сертифіковані більш ніж 100 торговими майданчиками, на які припадає понад 95% валютної ліквідності.

Продукт дозволяє міжнародним банкам і фінансовим компаніям проводити операції на світових валютних ринках із мінімальною затримкою — на рівні часток мілісекунди.

Спеціаліст працюватиме над інфраструктурною основою для FX Trading Analytics платформи нового покоління.

Місце та формат роботи: віддалено, full-time.

Вимоги:
• досвід розгортання з нуля та підтримки інфраструктури для data-проєктів
• досвід роботи з time-series базами даних
• досвід прийняття рішень щодо data-архітектури буде плюсом