National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Principal Data Science Consultant - Financial Services Expertise

EPAM Systems
Chester
3 days ago
Create job alert

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.

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.

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 efficiency
Implement and oversee AI governance frameworks, with an emphasis on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principles
Ideate, design and implement AI-enabled solutions 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 to production, ensuring robust MLOps practices tailored to financial data environments
Monitor and manage model performance, including addressing issues related to explainability, data drift and model drift in financial models
Collaborate with risk, compliance and legal teams to navigate financial regulations and ensure models meet stringent industry standards
Engage with senior executives, effectively communicating AI opportunities, risks and strategies in accessible terms, particularly in the financial services context
Maintain up-to-date knowledge of industry trends, emerging technologies and regulatory changes impacting AI/ML in financial services
Support pre-sales activities, including client presentations, demos and RFP/RFI responses tailored to financial services prospects

Requirements

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Finance, Economics or a related field
5+ years of experience in data science, analytics or related roles within the financial services industry or IT consulting for financial institutions
Strong communication skills, comfortable presenting to senior business leaders in banking, insurance or investment firms
Proven experience in financial services data science projects, such as credit risk modeling, anti-money laundering (AML) systems or algorithmic trading models
Familiarity with key financial industry regulations, such as Basel III, Solvency II, MiFID II or the EU AI regulatory framework
Deep understanding of LLMs and their application in areas like financial document analysis, customer service chatbots or regulatory reporting
Expertise in fraud detection techniques, anomaly detection and compliance analytics
Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems
Proficiency 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 MATLAB
Experience with structured and unstructured financial data, including time-series analysis, market data and transactional data
Ability to articulate complex AI risks and strategies to non-technical stakeholders, including senior executives in banking and insurance

Nice to have

Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Finance, Economics or a related field
Expertise in stress testing models, scenario analysis and portfolio optimization

We offer

EPAM Employee Stock Purchase Plan (ESPP)
Protection benefits including life assurance, income protection and critical illness cover
Private medical insurance and dental care
Employee Assistance Program
Competitive group pension plan
Cyclescheme, Techscheme and season ticket loans
Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
If otherwise eligible, participation in the discretionary annual bonus program
If 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

#J-18808-Ljbffr

Related Jobs

View all jobs

Principal Data Science Consultant - Gen AI Specialist

Principal Data Science Consultant - Gen AI Specialist

Principal Data Science Consultant - Financial Services Expertise

Principal Data Scientist Consultant

Principal, Applied Data Science

Principal Energy Consultant

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.