Tech Duck

We are looking for a Data Scientist in Poland to join an international software development and outsourcing company and work on a project developing a large-scale media intelligence platform and delivering AI-powered audience analytics solutions. The company is a global technology provider delivering data analytics and AI-powered solutions that help organizations better understand customer behavior, optimize marketing performance, and make informed business decisions. By transforming large volumes of data into actionable insights, it enables enterprises to improve audience engagement, measure the effectiveness of their initiatives, and enhance decision-making. The company works with a diverse range of customers, supporting them in navigating an increasingly data-driven and rapidly evolving digital landscape. The project is focused on developing a large-scale media intelligence platform that analyzes consumer engagement across TV, digital, and connected devices. It leverages real-time, consented data to deliver audience insights, content analytics, and data-driven solutions for media and advertising. Responsibilities: - Owning end-to-end delivery of significant data science projects — from problem scoping and approach design through to production deployment. - Making sound, independently-reasoned decisions on methodology, model selection, and evaluation; documenting them clearly in technical solution documents covering problem statement, approach, metrics, and timeline. - Leading solution design for your own initiatives. - Breaking down complex epics into well-scoped user stories with clear acceptance criteria, adopting DataOps and MLOps best practices throughout — experiment tracking, pipeline orchestration, model monitoring, and reproducibility. - Building production-quality Python and PySpark code on Databricks — well-tested, documented, and reusable — and implement advanced ML and AI-powered workflows including entity resolution, probabilistic record linkage, embedding-based matching, semantic similarity, and LLM-augmented pipelines. - Developing and maintaining reusable tools, libraries, and documentation that improve team efficiency and technical standards. - Conducting code reviews with constructive, specific feedback that raises the bar. - Mentoring junior data scientists on technical execution, code quality, and career development. - Leading internal talks or workshops on ML topics. - Collaborating cross-functionally with product, engineering, and operations — translating business requirements into technical specifications, partner with data engineering on scalable pipeline design, and participate in cross-functional design reviews and working groups. Must-haves: - Hands-on experience in Data Science, including ownership of complex, multi-sprint projects for 3+ years. - Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, or another quantitative field (Master's degree preferred). - Advanced proficiency in Python, including writing production-quality, well-tested, and well-documented code. - Strong experience with SQL and PySpark, including processing datasets at billion-row scale. - Hands-on experience with Databricks, including Workflows, Delta Lake, and job orchestration. - Working knowledge of AWS or Google Cloud Platform (GCP). - Strong foundation in Machine Learning, including regression, classification, clustering, model evaluation, and experimental design. - Experience with MLOps practices, including experiment tracking, Airflow-based pipeline orchestration, and reproducible model deployment. - Familiarity with modern AI technologies, including Retrieval-Augmented Generation (RAG), LLM-based applications, vector databases, and semantic search. - Strong written and verbal communication skills, including technical documentation, user story creation, and cross-functional collaboration. - Level of English – from Intermediate+ and above. Nice to have: - Knowledge graph construction, entity resolution, or semantic data modeling (RDF, OWL, SPARQL, or equivalent). - Experience with probabilistic record linkage, identity graph approaches, and embedding-based entity matching at scale. - Experience with causal inference methods, including A/B testing, synthetic control, and uplift modeling. - Experience with deduplication, data enrichment, or web-to-TV linkage problems. - Background in media, ad tech, or measurement specifically: TV viewership (ACR/STB data), digital audience modeling, cross-platform measurement (linear + CTV/OTT), identity resolution in privacy-constrained environments. - Familiarity with the measurement/identity vendor landscape: Nielsen, Comscore, LiveRamp, The Trade Desk. Reasons why this job would be interesting to you: - Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.. - The opportunity to change the project and/or develop expertise in an interesting business domain. - Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant. - Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. - The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities. - Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. - Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies). - Certification compensation (AWS, PMP, etc). - Referral program. - Private health insurance and sports compensation, depending on the type of employment. - Employment Contract/ B2B.

We are looking for a System Analyst with PO experience to join an international software development and outsourcing company and work on a project building enterprise integrations, automating workflows, and supporting digital transformation initiatives. Our customer is an international organization operating in the financial and protection services domain. The company provides a diverse portfolio of customer-oriented solutions across multiple business areas and markets. With a strong focus on digital capabilities, operational excellence, and long-term development, the organization continuously invests in technology, process improvement, and service innovation to support evolving customer and business needs. The project is focused on designing and implementing an integration layer that connects multiple business systems and digital services. It includes building integrations for insurance and customer service workflows, enabling seamless data exchange, process automation, and alignment with the overall enterprise integration strategy. Responsibilities: Capturing, analyzing, and documenting business, user, and functional requirements. Translating business needs into clear, implementable technical specifications. Creating user stories, acceptance criteria, and detailed documentation. Modelling business processes (BPMN), design solutions, and build prototypes. Supporting backlog refinement with detailed requirement elaboration. Facilitating communication between stakeholders and development teams. Owning product vision, goals, and success metrics. Defining and managing roadmap, backlog, and priorities. Making scope and trade-off decisions (value vs risks vs constraints). Ensuring backlog readiness and alignment with business goals. Actively engaging stakeholders and align expectations. Leading demos, reviews, and validating delivered increments (DoD). Monitoring KPIs, customer feedback, and product performance. Managing risks, dependencies, and escalations. Ensuring compliance (legal, data privacy, security). Driving Agile/Lean practices and continuous improvement. Requirements: Experience as a System Analyst for 3.5+ years. Experience as a Product Owner. Experience with UML, BPMN, Jira, Confluence, and Draw.io for requirements management and process modeling. Strong SQL skills and experience working with PostgreSQL or similar relational databases. Hands-on experience with REST APIs, SOAP, SFTP, OpenAPI/Swagger, and Postman. Understanding of microservices architecture, distributed systems, and gRPC. Experience with Camunda or similar workflow/process automation platforms. Familiarity with ELK Stack for log analysis and troubleshooting. Experience with Git and a solid understanding of the Software Development Lifecycle (SDLC). Strong analytical thinking and systems understanding. Problem-solving and troubleshooting mindset. Level of English – from Upper-Intermediate and above. Reasons why this job would be interesting to you: We cooperates with such businesses as Samsung, Reuter Gruppe, T-Systems, TUI, Ryanair, Johnson & Johnson, etc. This project is just your beginning here – working with us means reliability and prospects. We have been strengthening our expertise since 2007. During this time, we have formed an excellent BA & SA team with streamlined processes, which now consists of more than 200 qualified analysts. We welcome specialists from every part of the world. Salaries at Andersen are pegged to the USD, and our employees are provided with a benefit package and an extensive set of bonuses. We give our employees an opportunity to attend and participate in the company's BA meetups, as well as offer a compensation program for international professional certificates. There are many different ways to grow and develop at our company. You can improve as a tech specialist or a resource manager, and all your activities will be decently rewarded. You will have an opportunity to take on the role of a mentor and help a group of BA/SA beginners grow. Our employees have access to Andersen Knowledge Base, where they can take courses in a variety of areas: the art of negotiation, PreSale & Discovery, Agile essentials, product ownership, microservice architecture, API design, SQL, AWS, GDPR, UX/UI, people management, and more.

We are looking for a Go Developer to join an international software development and outsourcing company and work on a project developing a global digital platform and delivering scalable backend solutions for the insurance and assistance industry. Our customer is an international organization operating in the financial and protection services domain. The company provides a diverse portfolio of customer-oriented solutions across multiple business areas and markets. With a strong focus on digital capabilities, operational excellence, and long-term development, the organization continuously invests in technology, process improvement, and service innovation to support evolving customer and business needs. The project is focused on developing and enhancing a global digital platform for the insurance and assistance industry. It supports travel, automotive, health, and assistance services by delivering scalable, reliable solutions that improve customer experience and streamline business operations. Responsibilities: Build and evolve a real-time cross-selling platform for personalized insurance offers. Own backend systems for multiple user-facing apps using gRPC-based microservices. Design and maintain REST/gRPC APIs for core insurance platforms and third-party services. Manage transactional data in PostgreSQL, including policies and claims. Implement event-driven workflows with RabbitMQ or Kafka. Write and maintain unit and integration tests, focusing on monetary calculations. Monitor services with Grafana/Prometheus to catch issues proactively. Participate in code reviews and contribute to platform design and development. Collaborate with Business Analysts, QA, and DevOps in an Agile/Scrum framework. Requirements: 5+ years of commercial development experience, with 3+ years in Go. Higher education in Computer Science or related fields. Extensive experience with AI implementation and configuration. Background in fintech or banking domains with complex integrations. Strong skills in concurrency, microservice architecture, and containerization. Proficiency in PostgreSQL, RabbitMQ or Kafka, and REST API design. Experience with Grafana and Prometheus for monitoring. Familiarity with Agile/Scrum environments. English level: Upper-Intermediate or above. Reasons why this job would be interesting to you: Flexible work conditions: remote, office, or hybrid options available. Opportunities for professional, financial, and career growth. Mentoring and adaptation systems for new employees. Potential to earn up to an additional $1,000 per month in bonuses. Access to a corporate training portal and certification compensation. Bright corporate life with events and activities. Private health insurance and sports activity compensation.