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What impact will you make?#YourOpportunityWe are currently seeking for enthusiastic and self - driven Data Scientist professional with exceptional analytical skills and experience in consulting or financial services to become part of our rapidly growing Financial Risk Management team in our offices in Athens.Our Financial Risk Management (FRM) practice constitutes the fastest growing team in the local market with a proven track record of delivering large scale engagements across the industry during the recent past. Our practice forms part of Deloitte’s North South Europe (NSE) “One_FRM” initiative which brings together risk professionals from the UK, Italy, the Netherlands, Belgium, the Nordics, Switzerland, Ireland and Greece into one single team thus representing an excellent opportunity to join forces and fulfil the core principle of Deloitte to act “as one” at European level with the aim to continue offering “state of the art” and value-adding propositions to our clients and solve “real world” problems faced by Financial Institutions in Greece and abroad.We offer to our clients comprehensive solutions in the wide spectrum of financial risk areas focusing on credit and market risk as well as capital management, liquidity and treasury risk as a response to industry-wide challenges.If you are ready to advance your career to the next level in a challenging international environment, focusing on continuous learning and dynamic teamwork, both in Greece and abroad, you are ready to join Deloitte’s Financial Risk Management practice.#YourRoleDeloitte is a leading provider of Financial Risk Management Advisory services and thus offers the opportunity to work on high-profile projects and clients that are leaders in the industry.Our projects vary and your responsibilities will differ based on the focus of the client engagement and needs. However, your role could include and may require you to:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Develop and implement&nbsp;machine learning models&nbsp;for risk use cases such as:o&nbsp;&nbsp; credit scoring and risk segmentationo&nbsp;&nbsp; early warning systemso&nbsp;&nbsp; anomaly and fraud detectiono&nbsp;&nbsp; stress testing and scenario analysis·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Design and deploy&nbsp;Generative AI solutions, including:o&nbsp;&nbsp; automation of risk reporting and documentationo&nbsp;&nbsp; intelligent data extraction and summarization·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Apply&nbsp;advanced statistical and quantitative techniques&nbsp;to large datasets·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaborate with risk and business teams to&nbsp;translate requirements into analytical models·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support&nbsp;model deployment and industrialization&nbsp;(APIs, pipelines, cloud environments)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure alignment with&nbsp;model risk management (MRM)&nbsp;practices·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Prepare high-quality&nbsp;client deliverables and presentations#WinningRequirementsWe are specifically seeking professionals who possess both technical and business skills, can clearly articulate the outcomes and value of their work, and can demonstrate the following:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2-5 years of relevant experience in&nbsp;banking or financial services, exposure to&nbsp;risk management use cases&nbsp;(credit, market, liquidity) is highly desirable·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong background in&nbsp;machine learning, statistics, and quantitative modeling·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Proficiency in&nbsp;Python&nbsp;(pandas, scikit-learn, TensorFlow/PyTorch)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with&nbsp;Generative AI / LLMs&nbsp;(prompt engineering, RAG, fine-tuning)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience delivering&nbsp;AI/ML solutions in production environments·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Knowledge of&nbsp;data engineering concepts&nbsp;(SQL, ETL, pipelines)·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Knowledge of data visualisation tools and ability to create dashboards and reports·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Knowledge of the machine learning lifecycle, from prototyping state-of-the-art to scaling and managing for enterprise use·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Understanding of key considerations for Ethical and Responsible data and AI, and experience applying them·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ability to explain complex models to non-technical stakeholders·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong communication and presentation skills·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ability to work in cross-functional teams·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Problem-solving&nbsp; mindset#AboutDeloitteOur servicesDeloitte operates in Greece since 1975, as a member of one of the world’s largest professional services networks, Deloitte Touche Tohmatsu. With offices in Athens, Thessaloniki, Heraklion, Patras and Ioannina, Deloitte Greece employs more than 2,900 professionals.After 50 years of successful and dynamic presence in the Greek market, we bring an unmatched breadth and depth of expertise across audit and assurance, technology &amp; transformation, tax &amp; legal and strategy, risk &amp; transactions advisory services. Operating in a multidisciplinary model enables us to draw from a pool of world-class talent, identifying the ideal skillset for each project, and to collaborate across businesses, to solve the toughest, most challenging issues of our clients. It is with them that we have built a trusted relationship, by delivering innovative solutions and utilizing state-of-the-art tools and technologies across all industries- Consumer Products, Energy Resources &amp; Industrials, Financial Services, Life Sciences &amp; Health Care, Government &amp; Public Services, Technology, Media &amp; Telecommunications.Our PurposeOur purpose, “To make an impact that matters for our clients, our people and society “- defines who we are and what we stand for. This is not about size, it's about being the first choice. The first choice for the largest and most influential clients, and the first choice for the best talent.Our valuesAt Deloitte we foster a collaborative culture where talented individuals can produce their best work. We value innovative thinking, diverse insights and a genuinely distinctive level of customer service through our expertise and professionalism.We value difference, with respect at the heart of our inclusive culture.Our talent experienceFrom day one at our firm, practitioners are part of a community. Our development and career progression framework will help them develop the skills and capabilities to succeed. The wellness of our people and the ability to offer agile working arrangements is at the centre of our unique talent experience. We create a workplace that encourages collaboration, creativity, inclusiveness to ensure our staff are supported, encouraged and feel a sense of purpose and meaning in what they do each day.Sounds like the sort of role for you? Apply now.

Data Scientist - AI / GenAI for Financial Risk Management

We are looking for a Senior Health Claims Expert – Individual Claims to join our Life &amp; Health Claims Division. In this role, you will lead initiatives to detect, prevent, and mitigate Fraud, Waste, and Abuse (FWA) across health insurance claims, combining deep operational expertise with advanced analytics. You will collaborate closely with data scientists, engineers, and compliance teams to design and implement solutions that strengthen claims integrity and minimize financial risk.What You Will Do:Claims Expertise &amp; Oversight<ul><li>Provide subject matter expertise on health claims processes, adjudication rules, and regulatory compliance.</li><li>Review and validate claim patterns, anomalies, and high‑risk indicators identified through analytics.</li></ul>Collaboration with Data Teams<ul><li>Partner with data analysts and engineers to define business requirements for FWA detection models.</li><li>Translate operational insights into data features used in predictive modeling and anomaly detection.</li><li>Validate model outputs and ensure alignment with business logic and balanced risk‑based decisions.</li></ul>Fraud Detection &amp; Prevention<ul><li>Support the development of advanced FWA strategies leveraging analytics, AI, and rule‑based systems.</li><li>Contribute to the creation of dashboards and reporting tools for monitoring suspicious claim behaviors.</li><li>Recommend corrective actions and process improvements based on analytical findings.</li></ul>Stakeholder Management<ul><li>Communicate complex analytical insights to non‑technical stakeholders in a clear and actionable manner.</li><li>Train claims teams (including TPA partners) on emerging fraud trends and data‑driven prevention techniques.</li></ul>What You Bring:Required<ul><li>8+ years of experience in health claims management, including at least 3 years in fraud detection.</li><li>Familiarity with analytics concepts (predictive modeling, anomaly detection).</li><li>Ability to work with SQL and dashboards (Power BI/Tableau), and understand data pipelines.</li><li>Strong understanding of the health insurance market, coding standards, and claims workflows.</li><li>Excellent analytical thinking, communication, and stakeholder engagement skills.</li></ul>Preferred<ul><li>Exposure to machine learning applications in healthcare.</li><li>Experience with FWA tools (e.g., SAS Fraud Framework).</li><li>Certification in fraud examination (CFE) or healthcare compliance.</li></ul>What We Offer:• Extensive training opportunities – on-demand and on-site • Partnerships with educational institutions across Greece for advanced study, with tuition support • Comprehensive Health Insurance for peace of mind and financial protection • Well-being support and work–life balance • One‑time budget for home-office equipment • Recognition and rewards for excellence • Monthly meal allowance • Newly renovated, centrally located offices with easy access

Senior Health Claims Expert (Individual Claims)

Procure to Pay (PTP) process: Analyses and evaluates PTP process and procedures, in order to automate the end-to-end process while ensuring a controlled environment. Timely identifies potential areas for improvement, proposing and follows-up on initiatives to automate processes focusing on a continuous monitoring of controls.Procure to Pay (PTP) data: Checks the quality of master and transactional data related to the PTP process, ensuring data is accurate, timely, up-to-date, and compliant with regulatory and Group policy requirements. Performs regular audits to ensure compliance by applying data mining techniques and possibly AI tools to ensure data quality.Procure to Pay (PTP) systems: Analyses and tests financial systems configurations and re-designs, in order to automate and increase efficiency of the end-to-end process. Participates in the testing procedures of each new finance automated process prior of going live. Develops and maintains documentation including system designs, operational manuals, and process workflows. Guides and educates the wider teams across the organization on PTP process excellence and supports ERP users.Digital tool integrations and automations: Targets a broader integration with machine learning and intelligent digital tools aiming for autonomous finance operations activities and a wider integration with 3rd parties across the PTP process (Vendor Portal, e-Invoicing, E-Banking).Team collaboration: Focuses on internal communication and strong collaboration with all departments across the organization, and in particular the IT department. Coordinates with various teams to ensure business objectives.Process excellence &amp; support: Contributes to ensuring PTP process excellence, guiding teams, supporting ERP users, and maintaining alignment of automated processes with business objectives.What will you bring?Education: University degree in Business, Finance, Data or Computer Science or a related field. A Master’s degree will be considered a plus.Experience: 3–5 years of proven experience within a similar position that requires applying knowledge of business process management and PTP automation technologies. Experience with ERP systems and with AP automation tools. Experience in a multinational business environment will be considered an asset.Skills: Excellent problem-solving and analytical skills. A collaborative mindset and the ability to work with multidisciplinary teams. Excellent knowledge of MS Office, particularly Excel.Digital tools &amp; technology: Familiarity with AI tools and other digital tools will be considered an asset. Knowledge of Internal Audit standards and procedures will be considered an asset. Exposure to APQC or other related process taxonomies and benchmarks will be considered an asset.Certifications: Professional Certifications (ex. ACCA, CIA, CIMA, Six Sigma) will be considered an asset.Languages: Fluency in English, both spoken and written, at a professional corporate level. Fluency in Greek and Spanish Language will be considered a plus.What we offerTeamBecoming a member of an organization that cares about its people, the environment, and the local communities.Grow&nbsp;Have room to grow and develop via numerous opportunities for learning, professional development, and career advancement.CareCompetitive remuneration package.Private health insuranceFlexible working model

Θέσεις Εργασίας Ai / Machine Learning Engineer Ελλάδα, Χρηματοοικονομικά

data scientist - ai / genai for financial risk management

Deloitte

senior health claims expert (individual claims)

NN Hellas

finance process improvement specialist

Sani / Ikos Group

Jobily.gr

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