Senior Data Scientist

Join Our Innovative Team at Kaizen GamingKaizen Gaming, the dynamic force behind Betano, stands as one of the premier GameTech companies globally, serving 19 diverse markets. Our mission is to harness advanced technology to deliver unparalleled entertainment experiences to millions of satisfied customers.Our vibrant workforce consists of over 2,700 talented individuals from more than 40 nationalities spanning three continents.We take pride in being recognized among the Best Workplaces in Europe and are certified as a Great Place to Work in all our offices. At Kaizen Gaming, every day is a new opportunity to excel. Are you ready to Press Play on your career potential?About the RoleAs a Lead Data Scientist, you will spearhead our AI initiatives by analyzing complex datasets and developing machine learning models that drive our innovative AI products. The ideal candidate will possess an in-depth knowledge of machine learning algorithms and a proven track record of deploying ML/AI applications in production environments.Key Responsibilities:Convert product specifications into actionable machine learning tasks and pinpoint high-impact AI opportunities.Conduct comprehensive data analysis to unearth vital patterns and derive actionable insights.Execute exploratory data analysis (EDA) and feature engineering to facilitate the modeling process.Implement best practices in model selection, parameter tuning, and validation.Conduct comparative experiments to enhance model training.Analyze machine learning metrics to assess various solution options.Oversee the complete lifecycle of AI features, from data collection through model design to implementation and optimization in live environments.Mentor junior team members, sharing expertise and leading intricate projects.

Join Kpler as a Data Scientist and be a part of our innovative team that drives data-driven decision making in the energy sector. You will leverage your analytical skills to extract insights from vast data sets, develop predictive models, and contribute to our mission of delivering accurate and actionable information to our clients.

Optasia is a leading B2B2X financial technology platform dedicated to enhancing scoring, financial decision-making, disbursement, and collection processes. Our mission is to drive financial inclusion for everyone, and we are passionate about transforming the financial landscape.We are on the lookout for dynamic and motivated professionals who are results-oriented and possess a proactive mindset. Join a team of like-minded individuals who are innovating solutions in an exciting work environment. As a Senior Quantitative Risk Data Scientist, you will play a crucial role in Optasia's algorithmic trading and portfolio optimization unit. As part of the Credit Portfolio Optimization team, you will merge your expertise in risk management, research, and technology to implement trading strategies across various projects. You will utilize your insights and knowledge to make real-time critical decisions while collaborating with experienced traders, big data specialists, and machine learning engineers to optimize system performance.Your ResponsibilitiesDevelop and implement algorithmic solutions aimed at optimizing revenues through credit risk analysis.Generate credit-risk insights using advanced big data analytics.Create and execute portfolio risk assessment tools and procedures to effectively monitor and manage credit risk.Conduct in-depth risk analysis on microloans and other financial products, refining risk models to enhance decision-making processes.Identify and assess credit risk factors using sophisticated computational techniques on extensive datasets.Build predictive models, employing both statistical and machine learning methods, to bolster risk management strategies.Work collaboratively with fellow data scientists and machine learning engineers.Continuously enhance and refine risk assessment methodologies to keep pace with evolving market conditions.Mentor junior and mid-level quantitative analysts, fostering an environment of collaboration and knowledge sharing.Stay informed about industry trends, emerging technologies, and evolving methodologies to maintain best-in-class risk management practices.

Optasia is a B2B2X financial technology platform focused on scoring, financial decision-making, disbursement, and collection. The company’s mission centers on advancing financial inclusion worldwide and reshaping the financial sector through a distinct approach. Role Overview The Quantitative Risk Data Scientist will join the Credit Portfolio Optimization team in Athens. This position sits at the intersection of risk management, research, and technology, contributing to algorithmic trading and portfolio optimization projects. The role involves working alongside traders, big data experts, and machine learning engineers to support real-time decision-making and maintain strong system performance. What You Will Do Design and implement algorithmic solutions to maximize revenue through detailed credit risk analysis. Extract actionable insights on credit risk using advanced big data analytics. Develop tools and procedures for portfolio risk assessment to monitor and manage credit risk effectively. Conduct thorough risk analyses of microloans and other financial products, refining risk models to improve decision quality. Identify and evaluate credit risk factors by applying advanced computational techniques to large datasets. Build predictive models using statistical and machine learning methods to strengthen risk management strategies. Collaborate closely with data scientists and machine learning engineers. Continuously update risk assessment methods in response to changing market conditions. What We Look For Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Mathematics, or a related discipline. 2-5 years of experience in quantitative risk analysis, preferably within financial services. Demonstrated skill in developing and applying algorithmic models for revenue and risk optimization. Strong background in statistical modeling and experience with machine learning models. Proficiency in Python or R, and hands-on experience with big data risk analytics. Track record of designing and deploying portfolio risk assessment tools. Excellent problem-solving skills and attention to detail when working with complex datasets. Key Attributes Sound judgment and strong analytical thinking. Self-driven, resourceful, and comfortable working independently.

Are you enthusiastic about artificial intelligence? At Satori Analytics, we are on a mission to revolutionize the world, one algorithm at a time, by empowering global brands through Data and AI. Our innovative solutions span the entire data lifecycle, from cloud-based ecosystems for fintech to predictive models for airlines. As a rapidly expanding scale-up with a team of over 100 tech specialists—including Data Engineers, Data Scientists, and more—we provide cutting-edge analytics solutions across various sectors, including FMCG, retail, manufacturing, and financial services. Join us as we spearhead the data revolution in South-Eastern Europe and beyond! Your Daily Responsibilities: Explore diverse data sources, analyze them, and evaluate their influence on business outcomes. Develop and optimize Data Science pipelines, balancing performance, business objectives, and model complexity. Design and maintain machine learning pipelines, encompassing data cleaning, transformation, model evaluation, hyperparameter tuning, and deployment. Investigate emerging technologies, platforms, and industry best practices to identify innovative opportunities. Contribute to the advancement of our Data Analytics platform, particularly in Machine Learning and MLOps capabilities.

Optasia is an innovative B2B2X financial technology platform dedicated to transforming financial decision-making, scoring, disbursement, and collection processes. Our mission is to promote financial inclusion for everyone, and we are making a significant impact in the world.We are looking for passionate individuals who are driven by results and possess a proactive mindset. Join our dynamic team of like-minded professionals who are committed to delivering cutting-edge solutions in an exciting and collaborative environment.As a Junior Quantitative Risk Data Scientist, you will play a vital role in enhancing Optasia's advanced risk management strategies and optimizing revenue as a key member of our Credit Portfolio Optimization team. This team specializes in credit scoring, model development, and managing large loan portfolios daily. Your responsibilities will include (i) creating statistical and machine learning algorithms for credit evaluation, (ii) optimizing revenues through effective risk management, (iii) conducting detailed risk analytics, and (iv) integrating models into day-to-day operations of extensive loan portfolios. You will collaborate within a robust team of 25 skilled professionals.Your ResponsibilitiesConduct comprehensive risk analyses and optimizations on microloans, comprising 80% of your role.Design predictive models, primarily focusing on statistical approaches with occasional machine learning applications.Provide actionable insights into credit risk utilizing advanced big data analytics.Assess and analyze credit risk factors through computational techniques on extensive datasets.Work closely with cross-functional teams to facilitate data-driven decision-making.Continuously enhance risk models to maximize financial outcomes while minimizing risks.Your QualificationsBachelor’s degree in Data Science, Statistics, Mathematics, or a related discipline.Strong background in statistical modeling; familiarity with machine learning is advantageous.Proficient in programming languages such as Python or R, with substantial experience in big data analytics.Thorough understanding of risk analytics and credit risk determinants.Adept at managing and analyzing large datasets to extract valuable insights.Excellent analytical and problem-solving abilities.Key AttributesExceptional interpersonal and communication skills.Capacity to meet tight deadlines while maintaining meticulous attention to detail.Strong judgment and problem-solving capabilities.Experience adhering to secure coding practices and guidelines (e.g., OWASP, NIST).Why Join Us? Experience the thrill of working in a forward-thinking company that is committed to driving change in the financial landscape.

Join our dynamic team at res as a Seasonal Scientist I, where you will engage in innovative research and contribute to exciting projects. This role is perfect for individuals eager to apply their scientific knowledge in a practical setting while gaining invaluable experience.

Join Kaizen GamingAt Kaizen Gaming, we are at the forefront of the GameTech industry, operating in 20 markets and delivering exceptional entertainment experiences to millions of customers. Our team of over 2,700 professionals hails from more than 40 nationalities across three continents, making us a truly diverse and innovative workplace.We are proud to be recognized as one of the Best Workplaces in Europe, certified as a Great Place to Work in our offices. Here, every day is unique and filled with opportunities to grow. Are you ready to 'Press Play' on your potential?About the RoleAs the Data Science Team Lead, you will spearhead an AI product team dedicated to developing impactful AI solutions. Your role will involve analyzing data, designing machine learning models, and collaborating with technology teams to launch successful AI products.The ideal candidate will possess a robust understanding of machine learning algorithms, extensive experience in building production-ready ML/AI applications, and a proven track record of leading AI teams.Your ResponsibilitiesLead and manage a team of 5 to 7 talented data scientists and machine learning engineers.Translate product requirements into machine learning challenges while identifying key areas for AI-driven business impact.Conduct data analysis to uncover significant patterns and insights.Perform exploratory data analysis (EDA) and feature engineering to enhance the modeling process.Implement best practices in model selection, optimization, and tuning.Execute comparative experiments for model training.Evaluate various potential solutions through ML metrics analysis.Oversee the complete lifecycle of AI features, from data collection to design, implementation, and optimization in production environments.Mentor junior team members and guide the team through complex projects.

Join Our Team at Kaizen Gaming!Kaizen Gaming, the driving force behind Betano, is a leading GameTech company with operations in 20 global markets. We are dedicated to harnessing the latest technology to deliver exceptional entertainment experiences to millions of our valued customers.Our diverse workforce consists of over 2,700 Kaizeners from more than 40 nationalities across three continents. We take pride in being recognized as one of the Best Workplaces in Europe and as a certified Great Place to Work. Here, each day offers unique challenges and opportunities. Are you ready to unleash your potential? About the RoleAs a Senior AI Data Governance Analyst, you will play an essential role within our Data/AI Governance team, contributing to the design and execution of a comprehensive AI governance framework across the organization. Collaborating with both business and technical stakeholders, you will ensure the integrity, consistency, availability, and compliance of AI models and applications, which is vital in the highly regulated betting and gaming industry. Key Responsibilities:Develop and enforce AI governance policies, standards, and procedures.Facilitate the implementation of AI metadata management, data lineage, and quality frameworks.Profile datasets to evaluate their accuracy, completeness, consistency, and integrity for effective AI utilization.Identify, document AI quality issues, and recommend corrective measures.Monitor and analyze AI quality KPIs, supporting remediation initiatives.Maintain AI quality dashboards and reports to communicate trends to stakeholders.Engage in cross-functional meetings to align AI governance priorities.Enhance AI business glossaries, data dictionaries, and catalogs.Collaborate with AI/Data owners, stewards, and custodians to promote governance best practices.Assist with compliance-related AI & Data initiatives (e.g., EU AI Act, GDPR, AML, Responsible Gaming reporting).Evaluate and support AI/Data governance tools (e.g., Atlan, Collibra, Informatica, Microsoft Purview).Contribute to the continuous evolution of the AI governance framework and best practices.

Join Our TeamAt Orfium, we are at the forefront of transforming music rights and royalties through innovative technology and data solutions. As a Senior Data Engineer on our CORE team (Centralized Orfium Revenue Engine), you will play a pivotal role in establishing the data foundations for our essential billing and reporting systems. Your expertise will ensure accuracy, scalability, reliability, and cost efficiency, which are crucial for timely invoicing, revenue recognition, and maintaining healthy cash flow for our global clientele.Your responsibilities will include designing, building, and optimizing modern data workflows leveraging technologies such as Airflow, dbt, Snowflake, and AWS. You will enhance data quality, observability, performance, and cost-effectiveness. Working in an Agile Scrum environment, you will collaborate with cross-functional teams including engineering, product, BI, and service delivery to enhance our platform and develop new capabilities that empower creators to receive payment whenever their music is played. As a senior engineer, you will lead by example, mentor team members, influence architectural decisions, engage in design reviews, and promote continuous improvement across our data pipelines and platform reliability.If you are seeking a position where your insights are valued, your ideas can thrive, and your efforts contribute to significant industry advancements while addressing real-world data challenges in a collaborative setting, this opportunity at Orfium is designed for you.

About Us: At tbibankgr, we are a dynamic challenger bank situated in Southeast Europe, recognized as a regional leader in alternative payment solutions. Our innovative ecosystem merges financing and shopping to meet the diverse needs of our customers. With a successful and profitable business model, we are proud to serve clients in Romania, Germany, Bulgaria, and Lithuania.In our quest to expand our global presence, we have established a significant footprint in Greece, collaborating with thousands of merchants and consumers. Are you ready to contribute to our unique success story?Your Role: We are seeking a Senior Data Analyst to join our dedicated team in Greece!Key Responsibilities:Conduct data discovery to identify insights.Collaborate with partners to explore potential data sources and develop data interpretation logic.Acquire data from both primary and secondary sources.Analyze and interpret data, providing regular and ad-hoc reports and insights.Engage in the continuous development of our Data Warehouse (DWH) facilities.Work with extensive datasets from multiple sources to create cohesive data reports.Utilize data manipulation and transformation tools effectively.

Optasia is a cutting-edge B2B2X financial technology platform focused on providing innovative solutions in scoring, financial decisioning, disbursement, and collection. We are dedicated to fostering financial inclusion for everyone and transforming the financial landscape.We are on the lookout for passionate and energetic professionals who are results-oriented and possess a can-do attitude. Join our vibrant team of like-minded individuals who are committed to delivering exceptional solutions in a dynamic and innovative environment.Data is the backbone of Optasia’s growth strategy, and our Data Engineering team plays a pivotal role in our success through data-driven decision-making and risk management. We ingest and process data from diverse sources into our expansive data lakehouses, utilizing state-of-the-art open-source big data technology stacks to create robust analytical pipelines.We are searching for a seasoned Senior Data Engineer – Team Leader to guide and motivate a team of two to three Data Engineers. In this role, you will blend hands-on expertise in constructing data infrastructure and pipelines with leadership responsibilities, empowering your team to produce high-quality, scalable, and dependable data solutions that advance Optasia’s objectives.Your ResponsibilitiesLead, mentor, and nurture a team of Data Engineers, promoting collaboration, technical excellence, and professional development.Provide technical guidance and expertise in data engineering, steering the team toward delivering high-quality, scalable data analytical pipelines.Assist in selecting, testing, and deploying data engineering tools, technologies, and methodologies.Design, construct, and enhance end-to-end batch and streaming data analytical pipelines.Develop, maintain, and evolve the organization’s big data infrastructure and core libraries for large-scale data ingestion and processing.Collaborate closely with Solution Architects, Data Assurance Engineers, ML Engineers, and System Administrators for the design, delivery, and support of comprehensive data workflows.Promote best practices in code quality, testing, CI/CD, and data governance, ensuring scalability, performance, and adherence to data protection regulations (e.g., GDPR).Oversee code reviews, align coding standards, and manage the configuration of the big data infrastructure.

Join our dynamic team as a Senior Site Reliability Data Engineer, where you will play a pivotal role in enhancing and optimizing our data systems. Your expertise will drive the reliability and scalability of our platforms, ensuring seamless user experiences and high availability.In this role, you will collaborate closely with cross-functional teams to implement best practices in data reliability and performance. You will be responsible for monitoring, troubleshooting, and enhancing our data pipelines and infrastructure.

uni-systems seeks a Senior Solutions Manager for its Data Analytics and AI Unit in Athens, Attica. This role guides clients through the adoption and optimization of data, analytics, and AI solutions, balancing technical consulting with business development. The focus spans both enterprise and public sector organizations. Key responsibilities Collaborate with enterprise clients to identify and address business needs using data-driven and AI-powered solutions. Deliver technical consulting across data, analytics, and AI domains. Review and analyze tender requirements, especially for complex public and enterprise procurement projects. Lead the creation of technical proposals, prepare responses to RFPs and RFIs, and develop supporting documentation. Develop and present clear demonstrations that highlight the value of analytics and AI solutions. Work with Account Managers on the financial aspects of proposals and coordinate internal approvals. Maintain relationships with vendors and partners, staying informed about product updates, pricing, and co-selling opportunities. Conduct forecasting and business planning for vendor products and solution areas. Monitor market trends in data, analytics, and AI, translating insights into actionable strategies for clients and internal teams. Organize and participate in events to promote solutions and support business development efforts. Serve as a liaison among sales, delivery teams, and technology partners to ensure effective communication. Location This position is based in Athens, Attica, Greece.

Join Kaizen Gaming as a Principal Data Scientist and lead the charge in leveraging advanced data analytics and AI technologies to drive innovation and competitive advantage. In this pivotal role, you will architect high-performance AI applications, mentor fellow data scientists, and define the strategic AI roadmap to align with our business objectives. Your expertise in machine learning and deep learning will directly influence our growth in the global GameTech market.

Join Kpler, where we simplify the complexities of global trade, providing insights that empower organizations in the commodities, energy, and maritime sectors. Since our inception in 2014, we've been committed to delivering premier intelligence through intuitive platforms. With a diverse team of over 700 experts from more than 35 countries, we transform intricate data into actionable strategies to help our clients thrive in a dynamic market landscape.We are on the lookout for a passionate and skilled Senior Data Analyst to join our Business Intelligence & Insights team. In this pivotal role, you will contribute to the data foundation that drives Kpler's commercial and strategic decision-making. Reporting to the Head of BI, you'll manage essential data pipelines, design scalable Looker solutions, and serve as a trusted advisor to stakeholders across the organization.This high-impact position is ideal for individuals who excel at the crossroads of data engineering and business analytics. One day, you’ll be constructing robust, production-ready infrastructure, and the next, you’ll be translating complex datasets into actionable insights for a commercial audience. If you’re excited about working with real-time commodity flow data and shaping the BI strategy of a rapidly growing B2B SaaS company, we want to hear from you.

Join Artech Information Systems as a Scientist II and contribute to cutting-edge research and development in a dynamic environment. This role offers the opportunity to engage in innovative projects, collaborate with a talented team, and apply your scientific expertise to real-world challenges.

METRO AEBE is recognized as one of Greece's leading employers, proudly supporting over 11,000 employees. Operating under the renowned My Market brand, we manage one of the largest retail networks in the country, featuring 290 stores nationwide. Additionally, we dominate the wholesale market with 50 METRO Cash & Carry stores catering to professionals across Greece.To fuel our ongoing expansion, we are looking for a skilled Data Engineer to join our Data Warehouse (DWH) team. In this role, you will play a pivotal part in designing, enhancing, and optimizing enterprise data products that empower data-driven decision-making.Responsibilities:Design and develop robust, automated data pipelines (ETL/ELT) to efficiently ingest data from diverse sources into our Data Warehouse or Data Lake.Conduct data wrangling tasks, including data cleaning and transformation, to convert raw data into actionable formats for analysis, visualization, or machine learning applications.Ensure data quality and monitor pipeline performance to uphold data integrity and reliability.Implement data access controls in alignment with corporate regulations and policies.Contribute to machine learning and AI initiatives by preparing, validating, and serving high-quality datasets for model training and evaluation.Work collaboratively with Data and BI Analysts, providing technical support as required.

Join Crossmark as a Retail Data Collector and become an integral part of our team. In this role, you will gather and analyze retail data, contributing to our mission of providing insightful market analysis. You will interact with various retail outlets, ensuring accurate and timely data collection.

Role Overview finartix is looking for an ETL/SSIS Data Engineer to join the team in Athens, Attica, Greece. This role focuses on building and maintaining data solutions for clients in the Greek market. The position works closely with IT professionals to improve data ecosystems and streamline data delivery for a range of sectors. What You Will Do Develop, test, and maintain data solutions throughout the full software development lifecycle. Apply effective methods for collecting and analyzing data to support strategic recommendations that fit client business goals. Act as a technical advisor, offering insights and solutions to clients. Work as part of an Agile team, contributing to collaboration and new ideas. Qualifications BS or MS in Computer Science, Engineering, or a related field. Minimum 3 years of experience in software development using MS SQL Server and ETL tools, especially SSIS. At least 2 years working on data migration projects. 2 years of experience in the Banking Industry. Solid understanding of software application fundamentals and how they affect user experience. Strong skills in testing and quality assurance. Proficient programming abilities and a creative, problem-solving approach. Good communication and time management skills. Comfortable working both independently and as part of a team. Demonstrated analytical thinking and a solution-oriented mindset. Proficiency with Microsoft Office Suite. Fluent in both English and Greek, written and spoken.