Principal Data Science Consultant - Financial ServicesExpertise

As one of the worlds leading digital transformationservice providers, we are looking to enhance our Data Practiceacross Europe to meet the increasing client demand for our DataScience and AI services. We are seeking a highly skilled andexperienced Data Science Consultant to join our team. The idealcandidate will have a strong background in data science, analytics,IT consulting, and domain expertise in financial services. As aData Science Consultant, you will work closely with clients tounderstand their business challenges, design and implementdata-driven solutions, and provide actionable insights that drivebusiness value. Your ability to address challenges specific tofinancial services, such as risk modeling, fraud detection, andregulatory compliance, will be a critical asset. #LI-DNIResponsibilities * Support financial services clients with thedefinition and implementation of their AI strategy, focusing onareas such as risk management, customer analytics and operationalefficiency * Implement and oversee AI governance frameworks, withan emphasis on regulatory compliance (e.g., Basel III, GDPR) andethical AI principles * Ideate, design and implement AI-enabledsolutions for financial services use cases, such as credit scoring,fraud detection, customer segmentation and predictive modeling *Lead the process of taking AI/ML models from development toproduction, ensuring robust MLOps practices tailored to financialdata environments * Monitor and manage model performance, includingaddressing issues related to explainability, data drift and modeldrift in financial models * Collaborate with risk, compliance andlegal teams to navigate financial regulations and ensure modelsmeet stringent industry standards * Engage with senior executives,effectively communicating AI opportunities, risks and strategies inaccessible terms, particularly in the financial services context *Maintain up-to-date knowledge of industry trends, emergingtechnologies and regulatory changes impacting AI/ML in financialservices * Support pre-sales activities, including clientpresentations, demos and RFP/RFI responses tailored to financialservices prospects Requirements * Bachelors or Masters degree inData Science, Computer Science, Statistics, Mathematics, Finance,Economics or a related field * 5+ years of experience in datascience, analytics or related roles within the financial servicesindustry or IT consulting for financial institutions * Strongcommunication skills, comfortable presenting to senior businessleaders in banking, insurance or investment firms * Provenexperience in financial services data science projects, such ascredit risk modeling, anti-money laundering (AML) systems oralgorithmic trading models * Familiarity with key financialindustry regulations, such as Basel III, Solvency II, MiFID II orthe EU AI regulatory framework * Deep understanding of LLMs andtheir application in areas like financial document analysis,customer service chatbots or regulatory reporting * Expertise infraud detection techniques, anomaly detection and complianceanalytics * Strong understanding of ML Ops principles andexperience in deploying and managing AI/ML models in financialsystems * Proficiency in Python and familiarity with AI/ML toolsand platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflowand financial-specific platforms like Bloomberg Terminal, SAS, orMATLAB * Experience with structured and unstructured financialdata, including time-series analysis, market data and transactionaldata * Ability to articulate complex AI risks and strategies tonon-technical stakeholders, including senior executives in bankingand insurance Nice to have * Ph.D. in Data Science, ComputerScience, Statistics, Mathematics, Finance, Economics or a relatedfield * Expertise in stress testing models, scenario analysis andportfolio optimization We offer * EPAM Employee Stock Purchase Plan(ESPP) * Protection benefits including life assurance, incomeprotection and critical illness cover * Private medical insuranceand dental care * Employee Assistance Program * Competitive grouppension plan * Cyclescheme, Techscheme and season ticket loans *Various perks such as free Wednesday lunch in-office, on-sitemassages and regular social events * Learning and developmentopportunities including in-house training and coaching,professional certifications, over 22,000 courses on LinkedInLearning Solutions and much more * If otherwise eligible,participation in the discretionary annual bonus program * Ifotherwise eligible and hired into a qualifying level, participationin the discretionary Long-Term Incentive (LTI) Program * *Allbenefits and perks are subject to certain eligibility requirementsJ-18808-Ljbffr