Staff Data Scientist (Fraud & Risk)

Навыки

• AI-агенты
• AI-инструменты в работе
• Самостоятельность
• AWS
• Big Data
• BigQuery
• XGBoost / LightGBM / CatBoost

О компании и продукте

• As Staff Data Scientist for the Fraud & Risk area, you will work closely with the Business Team, Product Managers, Data Governance team, Analysts, Scientists, and Data Engineers in order to deliver Company, Business, and Product OKRs. You will be at the forefront of addressing fraud globally for Tide, utilizing your deep expertise in classical Machine Learning to build and continuously improve models that detect and mitigate fraud.
• This role is an Individual Contributor (IC) position. You will spend most of your time dealing with highly imbalanced data use cases, data drift in pipelines, and identifying rapidly changing fraud patterns using classical ML. Some of your time will also focus on implementing and scaling production-ready GenAI and Agentic AI workflows. You will act as the Subject Matter Expert (SME) across the team, improving our technical standards.
• As a Staff Data Scientist you’ll be:
• Design and develop advanced predictive ML models tailored for global fraud detection, risk assessment, and anomaly detection.

Задачи

• A BOUT TIDE

Требования

• You have 10+ years of experience in Data Science or Machine Learning, with a substantial portion of your career dedicated to fighting fraud or risk mitigation in a fast-paced environment
• Individual Contributor: You are highly comfortable acting as a dedicated, fully hands-on technical IC and leading by example
• Absolute SME in Classical ML: Deep, theoretical, and practical understanding of classical machine learning algorithms (e.g., XGBoost, LightGBM, Random Forests, SVMs, Ensemble methods) and statistical modeling
• Deep Learning & Synthetic Data: Strong experience building adversarial models for fraud detection and working with synthetic data generation to bolster model robustness
• Production GenAI & Agentic AI Experience: Hands-on experience taking GenAI and multi-agent systems to production (using tools like LangGraph, AWS Bedrock, or GCP ecosystem) that have delivered real, measurable ROI
• Technical Eminence: Demonstrated technical inclination, such as submitting or publishing research papers at technical conferences, holding patents, or making significant open-source contributions, is highly advantageous
• Mastery of Imbalanced Data: Extensive hands-on experience handling highly imbalanced datasets, utilizing appropriate sampling methods, cost-sensitive learning, and relevant evaluation metrics (Precision-Recall AUC, F1-score, custom loss functions)
• Drift & Observability: Strong hands-on experience detecting and addressing data drift, concept drift, and model degradation in production systems
• Strong Engineering Background: You have good technical knowledge in SQL, strong in Python programming (including exposure to PyTorch and Hugging Face), and a good understanding of performance optimization in the end to end data pipeline including ML/DS inferencing
• You have a high level understanding of big-data technologies such as Spark, Hadoop etc. Strong knowledge of Cloud (AWS or GCP)
• You’re a self-starter who can work comfortably in a fast-moving company where priorities can change and processes may need to be created from scratch with minimal guidance
• OUR TECH STACK (You don’t have to excel in all, but willing to learn them)
• Databricks on AWS/GCP
• Snowflake/Big Query
• Tecton/Databricks - feature store
• Fiddler - model observability platform
• WHAT YOU’LL GET IN RETURN
• Competitive Compensation - competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays
• Health Insurance – Private family insurance with additional OPD coverage and top-up options
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops
• Volunteering & Development Days – Paid days annually for volunteering or personal growth

Условия

• Over 2 million members: 900,000 UK and 1,100,000 in India and growing rapidly
• Over $300 million raised in funding
• Over 2,800 Tideans globally
• Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026
• We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide
• Life & Accident Cover – Comprehensive accidental and life insurance protection

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