Senior Data Science Consultant

Company Description

Ready to make a difference?
Experian is a global tech company specialized in data, analytics, and decisioning technologies. We unlock the power of data to transform lives and create opportunities for consumers, businesses, and society. As a member of the FTSE 30, we've helped economies and communities flourish for more than 125 years - and we're just getting started.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Description

We're hiring a Senior Data Science Consultant for our Experian Turkey Analytics team in Istanbul.
This is a consultative, client-facing role where you will blend analytical depth with business acumen to design, deliver and scale data‑driven decisioning solutions. You'll partner with clients, products, and cross‑functional teams, lead complex engagements, and own outcomes end‑to‑end.

• Consult & Translate: Engage executives and business leads to shape problem statements, define measurable value, and translate needs into robust analytical approaches and roadmaps.
• Design & Deliver: Architect end‑to‑end analytical solutions across the customer lifecycle (acquisition, onboarding, underwriting, customer management, collections).
• Model Leadership: Lead development/validation of predictive & prescriptive models (incl. Credit Risk, originations, pricing, collection, marketing models, Basel, IFRS9, parameter estimation/validation) and champion model lifecycle ownership (from scoping to monitoring).
• Storytelling & Influence: Turn insights into compelling narratives and recommendations that drive adoption and measurable outcomes.
• Stakeholder Management: Build trusted relationships from analyst to C‑level; ensure alignment, transparency, and on‑time, high‑quality delivery.
• Thought Leadership: Track industry trends, best practices, and emerging ML techniques; mentor teammates and raise the bar across projects.
• Regional Collaboration: Partner with regional teams to bring global capabilities to local needs-and local insights back to the region

• 5+ years of hands‑on experience in data science / analytics / decisioning, preferably in client-facing or consulting environments.
• Proven ability to lead analytical projects end‑to‑end and navigate multi‑stakeholder settings with clear impact.
• Strong programming and data prep skills: Python, SQL (SAS/R/Scala is a plus).
• Practical command of ML techniques (e.g., regression, trees/ensembles, clustering, SVMs, neural networks) and model evaluation/monitoring.
• Experience translating complex technical concepts into clear business language and value cases.
• Excellent communication, presentation, and storytelling skills.
• Fluency in English (written and spoken).
• Banking Sector Background is a plus.

• Strategy (growth, risk-return optimization, pricing, portfolio steering)
• Analytics / Data Science (customer lifecycle use cases, decisioning)
• Risk Functions (credit risk, Basel, IFRS9, collections)
• Data / Decision Ops (data management, governance, monitoring, MLOps)

• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Social benefit package including food vouchers, private health insurance, monthly flex allowance and internet coverage, Employee assistance program and many other benefits!
• Opportunity for Flexible working hours and Home Office.