As one of the world's leading digital transformation service providers, we are looking to enhance our Data Practice across Europe to meet the increasing client demand for our Data Science and AI services. We are seeking a highly skilled and experienced

Data Science Consultant

to join our team.

If you are interested in applying for this job, please make sure you meet the following requirements as listed below.

The ideal candidate will have a strong background in data science, analytics, IT consulting, and domain expertise in financial services. As a Data Science Consultant, you will work closely with clients to understand their business challenges, design and implement data-driven solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset.

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Responsibilities

Support financial services clients with the definition and implementation of their AI strategy, focusing on areas such as risk management, customer analytics and operational efficiencyImplement and oversee AI governance frameworks, with an emphasis on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principlesIdeate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modelingLead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environmentsMonitor and manage model performance, including addressing issues related to explainability, data drift and model drift in financial modelsCollaborate with risk, compliance and legal teams to navigate financial regulations and ensure models meet stringent industry standardsEngage with senior executives, effectively communicating AI opportunities, risks and strategies in accessible terms, particularly in the financial services contextMaintain up-to-date knowledge of industry trends, emerging technologies and regulatory changes impacting AI/ML in financial servicesSupport pre-sales activities, including client presentations, demos and RFP/RFI responses tailored to financial services prospectsRequirementsBachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, Finance, Economics or a related field5+ years of experience in data science, analytics or related roles within the financial services industry or IT consulting for financial institutionsStrong communication skills, comfortable presenting to senior business leaders in banking, insurance or investment firmsProven experience in financial services data science projects, such as credit risk modeling, anti-money laundering (AML) systems or algorithmic trading modelsFamiliarity with key financial industry regulations, such as Basel III, Solvency II, MiFID II or the EU AI regulatory frameworkDeep understanding of LLMs and their application in areas like financial document analysis, customer service chatbots or regulatory reportingExpertise in fraud detection techniques, anomaly detection and compliance analyticsStrong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systemsProficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow and financial-specific platforms like Bloomberg Terminal, SAS, or MATLABExperience with structured and unstructured financial data, including time-series analysis, market data and transactional dataAbility to articulate complex AI risks and strategies to non-technical stakeholders, including senior executives in banking and insuranceNice to havePh.D. in Data Science, Computer Science, Statistics, Mathematics, Finance, Economics or a related fieldExpertise in stress testing models, scenario analysis and portfolio optimizationWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical illness coverPrivate medical insurance and dental careEmployee Assistance ProgramCompetitive group pension planCyclescheme, Techscheme and season ticket loansVarious perks such as free Wednesday lunch in-office, on-site massages and regular social eventsLearning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much moreIf otherwise eligible, participation in the discretionary annual bonus programIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program*All benefits and perks are subject to certain eligibility requirements

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