Data Science Manager

Are you driven by a passion for AI? 🤖 At Satori Analytics, we aspire to revolutionize industries through data and artificial intelligence, delivering clarity to global brands. Our innovative solutions, ranging from cloud ecosystems for fintech to predictive models for airlines, encompass every stage of the data lifecycle—from data ingestion to AI applicatio…

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.

Are you a proactive and enthusiastic professional with a strong interest in artificial intelligence (AI) and natural language processing (NLP)? Join our innovative team as a Data Analytics Consultant in Athens or remotely. You will collaborate with a skilled group of experts on pioneering technologies to implement significant IT software projects for prominent international public entities. We offer thorough training and support to help you achieve your career goals.Your Responsibilities: Extract and analyze data from diverse sources to enhance product development, marketing strategies, and business initiatives; Evaluate the precision and efficacy of new data sources and data collection methods; Identify suitable models and algorithms for addressing business challenges; Work alongside various functional teams to design models and oversee their implementation and results; Assess model quality and refine candidate algorithms/models; Create processes and tools to monitor and analyze model performance and data integrity; Engage in the complete development lifecycle, from design and implementation to testing, documentation, and maintenance of system components; Collaborate effectively in a multinational environment, adhering to high professional standards; Ensure the delivery of high-quality software solutions. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field; Experience in a commercial or industrial setting, either through work or research; Proficiency in text analytics and natural language processing techniques (deep learning experience is a plus); Development experience with statistical programming languages (Python, R, etc.), including skills in building and deploying machine learning models; Familiarity with Big Data technologies, such as Spark (and PySpark); Experience with SQL and exposure to ETL development; Strong understanding of AI and machine learning methodologies; Good grasp of data modeling and evaluation; Exceptional analytical skills, team-oriented, and eager to learn and excel; Familiarity with Software Engineering principles; Excellent written and verbal communication skills in English. Benefits:We value talent and dedication, offering you the following perks:Attractive full-time salary;Comprehensive Private Health Coverage through the Company’s group program;Flexible Working Hours;Access to Advanced Tools;Opportunities for Professional Development, including language courses and specialized training.

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.

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 excited about Data & AI? At Satori Analytics, we are redefining the landscape of data and artificial intelligence. Our mission is to empower global brands by providing unparalleled clarity through innovative data solutions. We develop cloud-based ecosystems for fintech and predictive models for airlines, offering cutting-edge solutions that span the entire data lifecycle—from ingestion to AI applications.As a rapidly growing scale-up, our dynamic team of over 100 tech professionals—including Data Engineers, Data Scientists, and more—delivers transformative analytics solutions across diverse sectors such as FMCG, retail, manufacturing, and financial services. Join us in spearheading the data revolution in South-Eastern Europe and beyond!What Your Day Might Look Like:Technical & Delivery LeadershipLead the development and enhancement of data engineering standards, best practices, and architectural principles for all Satori projects.Serve as a senior technical authority for complex data platforms, including cloud data stacks, pipelines, streaming, and orchestration.Assist project teams in solution design, risk management, and technical decision-making processes.Evaluate and critique designs to ensure they meet scalability, performance, security, and cost-effectiveness criteria.Collaborate with Tech Leads to maintain consistency and quality across projects.People Management & LeadershipOversee Senior Data Engineers and Tech Leads, fostering growth, performance, and career advancement.Mentor engineers on technical depth, ownership, communication, and leadership skills.Contribute to performance evaluations, development plans, and promotion decisions in line with Satori’s competency framework.Exemplify Satori’s values of collaboration, transparency, and accountability.Cross-Functional CollaborationWork in tandem with Product Owners to align technical solutions with client requirements and delivery constraints.Partner with Data Science, AI, and Cloud teams to ensure seamless end-to-end solutions.Support presales and discovery phases by providing technical insights, estimations, and solution framing when necessary.Organizational ImpactIdentify skill gaps, tooling, or process improvements and recommend practical solutions.Engage in internal initiatives, such as guilds, playbooks, training, and knowledge sharing.Help scale the data engineering capabilities as Satori expands, ensuring quality and culture are preserved.

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 an advanced B2B2X financial technology platform dedicated to enhancing scoring, financial decision-making, disbursement, and collection processes. Our mission is to drive financial inclusion globally, as we are transforming the financial landscape.We are in search of passionate and dynamic professionals with a results-oriented mindset to join our innovative team. As the Director of Quantitative Risk Management, you will lead a team of 50 dedicated members focused on optimizing Credit Risk. Your primary responsibility will involve researching, developing, implementing, and managing a framework for quantifying model and market risk. The ideal candidate will be self-motivated, thrive in fast-paced environments, and possess strong interpersonal skills for effective collaboration with Credit Traders and Quantitative Risk Data Scientists.Key Responsibilities:Oversee the measurement, monitoring, and control of credit risk.Develop a robust framework for risk model validation and strategy assessment.Review and validate the accuracy and suitability of existing and new risk models.Assess and validate credit risk policies.Design and define comprehensive credit risk management reports.Provide expert guidance to risk stakeholders regarding risk-taking practices.Support and validate risk optimization systems.Conduct detailed analysis and documentation of methodologies, techniques, and findings.Engage in cutting-edge research for risk quantification and model validation.

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.

D ONE is a premium consultancy focused on advancing organizations through data, artificial intelligence, and transformative strategies.We empower businesses to convert aspirations into tangible results by aligning strategic objectives, establishing robust data infrastructures, delivering impactful solutions at scale, and ensuring sustained trust through effective governance and a human-centric approach. Operating from Zurich, Munich, and Athens, we leverage our extensive expertise across Europe to enhance the entire data value chain. Our methodology is pragmatic, centered around people, and designed for enduring success.In this pivotal role, you will be instrumental in guiding our clients on their journey to becoming data-driven enterprises. Stationed in our Athens consulting hub, you will lead project teams, cultivate relationships with senior stakeholders, and ensure our technical excellence translates into strategic achievements. Your role will blend high-level business insight with profound knowledge of the Data & AI landscape.Your responsibilities will encompass:Leading transformative projects: Overseeing the comprehensive delivery of intricate data initiatives, ensuring adherence to timelines and budgets while exceeding client expectations.Strategic Consultation: Serving as a trusted advisor to C-level executives, assisting them in mapping out their data strategies and pinpointing high-value AI applications.Team Leadership: Mentoring and guiding our talented Data & AI professionals, promoting a culture of excellence, growth, and practical problem-solving.Business Development: Spotting new opportunities within existing client accounts and contributing to proposals and sales strategies that highlight D ONE’s distinct value proposition.International Collaboration: Occasionally traveling to Switzerland and other locations to engage with clients and collaborate with our headquarters team in Zurich.

Transforming the Future of Living.At Blueground, our mission is to revolutionize the way individuals live by providing dependable housing solutions. We are developing the premier global platform for accommodation.With over 350 million people relocating between cities annually, the current housing market fails to meet the demands of today’s mobile populace. Blueground is here to change that narrative.Boasting a portfolio of 40,000+ residences worldwide, available for short or long-term stays, we are just getting started. Our trajectory is one of rapid growth, aiming to redefine living standards and introduce a unique category in the marketplace. Our competitive advantage lies in our cutting-edge proprietary technology, operational excellence, and a dedicated team that executes with agility and precision.Our workplace culture is anchored in five core principles:Guests First: Every decision is driven by our guests' experience.Move Fast: We prioritize speed and momentum.Dive In: We believe the magic is in the details and we engage deeply.Embrace Change: Change is our pathway to growth.Keep It Honest: Transparency fosters progress and strengthens bonds.If you’re eager to contribute to groundbreaking work that reshapes global living standards, we invite you to connect with us.Role OverviewThe Customer Experience (CX) Data Analyst plays a pivotal role in enhancing workforce planning and ensuring performance visibility across the CX team. This position integrates scheduling, real-time workforce management, and data analytics to promote operational excellence, staffing efficiency, and data-driven decision making.Key ResponsibilitiesReporting & Performance TrackingAnalyze and report on critical workforce metrics including service levels, process adherence, utilization, and absenteeism.Provide ongoing staffing insights and optimization suggestions to CX leadership.Monitor individual and team performance metrics to align with business objectives.Analyst & Reporting FunctionDevelop and maintain interactive dashboards and reports to enhance visibility into performance for coordinators, managers, and executives.Generate weekly, monthly, and quarterly performance reports.Oversee and manage the Metabase repository for official CX dashboards and reports.Act as the primary liaison between CX and Business Intelligence (BI) to ensure reporting accuracy and consistency.Automate regular reporting and workflow processes wherever feasible.Maintain a centralized documentation hub for metric definitions and calculation methodologies.Forecasting & Capacity PlanningTrack ticket and call volumes to identify trends, spikes, and their underlying causes.Report on volume fluctuations and propose actionable plans to address them.Design and implement systems for real-time workload monitoring and proactively recommend shift adjustments.Assist in long-term capacity planning in collaboration with CX leadership.

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 RWS Group as an AI Data Specialist, where you will play a pivotal role in supporting AI and machine learning projects by managing and analyzing linguistic data in Greek. This is an exciting opportunity to contribute to innovative technologies and enhance AI processes.

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.

Join a leading credit management firm that excels in debt collection services across 24 countries in Europe and Latin America. With a dedicated workforce of over 10,000 professionals, our client is a pioneer in setting industry standards and redefining perceptions of credit management.As part of a significant transformation initiative, our client is revamping global back-office processes for all operational territories. In your role as a Project Coordinator specializing in data, you will collaborate with teams in Greece, contributing to the implementation of a new working environment.Become an integral member of a diverse team committed to fostering innovative approaches to work.Your responsibilities will encompass:Engaging actively with stakeholders and development teams to facilitate discussionsAssessing business requirements and defining current vs. future business processesTranslating business needs into system features, user stories, and acceptance criteria, while monitoring delivery progressEnsuring solutions align with business needs and requirementsConfiguring systems, conducting tests, documenting findings, and effectively communicating resultsRequirementsAbout you:Proven experience in analyzing business requirements and translating them into system featuresStrong communication and documentation skills to provide clarity for development teamsFluent in Greek and proficient in English (both spoken and written)Agile mindset with the ability to adapt to rapid changesKnowledge of debt collection processes and stakeholder management is advantageousFamiliarity with JIRA, Confluence, and BPMN is a plusExperience in data analysisUnderstanding of data import flows and data exchangeBasic knowledge of data mapping is beneficialBenefitsWhat we offer:Hybrid work options that allow for a mix of remote work and office presence (within the Athens region)A flexible work environment that supports both job performance and personal responsibilitiesA culture that encourages continuous learning and personal career growthA community-focused atmosphere where your contributions are valuedComprehensive onboarding support to ensure a smooth transitionAcknowledgment and rewards for individual effortsCompetitive salary based on experienceA benefits package that includes health insurance, team-building activities, and more.If you believe you are the right person for this role, apply now!

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.