Lead Data Scientist

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 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.

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.

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 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 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 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 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 the Sfakianakis Group, a premier leader in the automotive industry, as our next Performance & Growth Lead Expert. In this pivotal role, you will significantly enhance our market presence and drive our continuous growth trajectory.The ideal candidate will possess a robust background in crafting and implementing effective digital marketing strategies that yield measurable business outcomes.Key Responsibilities:Formulate comprehensive performance strategies encompassing paid media, lead generation, and SEO.Track and assess key performance indicators (KPIs), interpret data, and provide actionable insights to facilitate informed decision-making.Oversee budget distribution across various channels and business units.Lead and assess external partners including performance agencies, SEO specialists, and web developers.Evaluate performance data to identify opportunities for ongoing optimization and improvement.Prepare reports and communicate results to key stakeholders effectively.Collaborate with marketing teams across business units to ensure alignment with commercial goals.Enhance lead quality and streamline lead management processes.Engage in the design and optimization of websites and digital platforms, focusing on conversion rates.Define user experience (UX), sales funnels, and lead generation needs for both new and existing digital assets.Monitor website performance and suggest data-driven enhancements.Requirements:Bachelor's degree in Marketing, Business Administration, or a related discipline (Master's degree preferred).Over 5 years of experience in performance or digital marketing, ideally in a multi-brand or complex organizational context.Deep understanding of paid media channels (e.g., Google, Meta) and lead generation methodologies.Demonstrated experience in managing and advising external partners and agencies.Proficient in KPI tracking and reporting tools.Familiarity with AI tools and applications in marketing, with a proactive approach to utilizing them for performance enhancement.Core Strengths:Exceptional interpersonal skills with the ability to collaborate across teams and influence at all organizational levels.Strong analytical abilities with experience utilizing data-driven insights to inform strategy.Innovative thinking and the capability to create unique marketing initiatives.What We Offer: Competitive salary and comprehensive benefits package. A dynamic and contemporary work environment. Ongoing training and professional development opportunities. Opportunities for career advancement and growth. Company-provided mobile phone and laptop. Health and life insurance coverage.

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.

Are you enthusiastic about the transformative power of AI? At Satori Analytics, we are on a mission to revolutionize industries through innovative algorithms, providing actionable insights to global brands via Data and AI. Our cutting-edge solutions span the complete data lifecycle—from ingestion to AI application—serving sectors like fintech, aviation, FMCG, retail, manufacturing, and financial services.As a rapidly expanding scale-up with a team of over 100 tech professionals, including Data Engineers and Data Scientists, we are at the forefront of the data revolution in South-Eastern Europe and beyond. Join us and be part of this exciting journey!We are seeking an experienced AI Solution Architect to take on a pivotal hybrid role that combines deep technical knowledge with significant business impact. You will serve as the technical authority on client engagements and large-scale RFPs, crafting enterprise-grade Data and AI solutions, and leading complex technical responses. Collaborating with Sales, Engineering, and Customer stakeholders, you will transform ambitious business challenges into scalable, impactful architectures that drive success.What Your Day Might Look Like:Lead technical pre-sales engagements focused on Data Science, GenAI, and Data Estate transformation projects.Facilitate discovery workshops to identify business objectives, technical limitations, risks, and criteria for success.Design scalable, secure, and production-ready end-to-end Data and AI architectures, covering ingestion, transformation, deployment, and governance.Architect GenAI solutions, including RAG pipelines, LLM orchestration, agent frameworks, evaluation mechanisms, and guardrails.Define enterprise data platform architectures, including data lakes, lakehouses, warehouses, ETL/ELT pipelines, and analytics layers.Translate business challenges into cohesive technical proposals, solution diagrams, Statements of Work (SoWs), and effort estimations.Support RFP/RFI responses with clarity and technical depth.Work closely with delivery teams to ensure proposed architectures are feasible, scalable, and implementable.Contribute to reusable accelerators, reference architectures, and internal best practices.Act as a trusted technical advisor to both executive and technical stakeholders.

Role Overview Enerwave seeks a detail-focused Billing Data Analyst in Athens, Attica, Greece. This position centers on analyzing billing data, checking for accuracy, and identifying trends or issues that impact business decisions. The analyst’s work supports billing integrity and helps maintain strong customer satisfaction.

About EveryPayEveryPay is dedicated to revolutionizing the digital financial landscape of e-commerce in Greece. Our mission is to empower Marketplaces and Merchants, enabling them to succeed in a competitive environment.We are a vibrant team of young professionals, united by our core values of Empowering Customers, Collaborating as a Team, Managing Risks, and Delivering Results.We take pride in having created the payment infrastructure that connects numerous Greek Marketplaces and Merchants with global payment schemes such as Visa and MasterCard. Our services extend to Greece's largest and most successful marketplace, Skroutz.Our systems interface with thousands of banks, both domestically and internationally. Our technology handles tens of thousands of transactions daily, amounting to billions of euros in e-commerce. If you have made an online purchase in Greece, you have likely interacted with our payment solutions.EveryPay is a wholly-owned subsidiary of the Skroutz Group of Companies, functioning as both a Technology Firm and a Regulated Financial Services Institution. This unique position offers you exposure to both the Tech Payments Sector and the realm of Financial Services.Your Role in EveryPay's Vision:We are looking to expand our Data Platform team by hiring a skilled Data Platform Engineer. In this role, you will design, build, and maintain the core data platform that drives analytics and business intelligence at EveryPay. You will be instrumental in developing robust data ingestion pipelines, establishing scalable data infrastructure, and enabling our BI team to extract actionable insights from data. Your contributions will ensure that high-quality, reliable data is readily accessible to all stakeholders within the organization.Key Challenges You Will Tackle:Data Ingestion at Scale: Design and implement scalable, reliable data ingestion pipelines that handle data from diverse internal and external sources.Platform Enablement: Construct, operate, and optimize our data platform to empower BI and analytics teams to easily explore, analyze, and visualize data.Data Quality & Governance: Establish and uphold best practices for data quality, lineage, and governance to ensure data trustworthiness and compliance.Your Responsibilities:Architect, build, and maintain ETL/ELT pipelines for ingesting data from various systems (e.g., payment systems, marketplaces, SaaS tools).Establish and manage data platform infrastructure (cloud data warehouses, databases, orchestration tools, etc.).Collaborate closely with the BI team to understand data requirements and deliver efficient, reliable data models and datasets.Monitor pipeline performance and data quality, proactively troubleshooting and resolving any issues.

Join Our Team as a Driver / Data Collector!Terry Soot Management Group (TSMG), a pioneering field data collection company established in 2017, is seeking enthusiastic individuals to join our data collection team in Athens, Greece. We're dedicated to gathering vital data in areas where automation falls short, providing insights through detailed feature counting, photography, videography, voice recording, and area scanning. With our teams located throughout Europe and North America, we are always ready to tackle new challenges.Project OverviewThe objective of this project is to collect high-quality images of streets, key points of interest, and public spaces across EU countries. Utilizing vehicles equipped with 360-degree removable cameras, our drivers will capture the surrounding environments and store the data securely for future use in enhancing one of the world's most popular online maps.Data collectors will follow designated routes in public areas, focusing on commercial zones and historical landmarks. Due to weather conditions, certain locations may require multiple visits to ensure optimal image quality. The duration of this project is anticipated to be between 3 to 6 months, covering various data collection sites.We are looking for candidates who have a passion for driving, possess a strong knowledge of the area and its traffic patterns, and demonstrate a high level of responsibility and reliability.Work Schedule: Monday to Friday, 8 hours per day, totaling 40 hours per week. Weekend work may be required due to weather-related delays.

Join Kpler as a Business Intelligence Data Engineer where you will play a crucial role in transforming data into actionable insights. You will work with various data sources and be part of a dynamic team focused on enhancing our data platforms. You will have the opportunity to leverage your analytical skills to drive strategic decision-making and contribute to our innovative solutions.

Join Kpler as a Data Engineer specializing in Dry Bulk Commodities. In this pivotal role, you will design, implement, and optimize data pipelines to support our dynamic analytics platform. Collaborate with cross-functional teams to enhance data accessibility and ensure high data quality, driving insights that empower our clients in the commodities market.