Tide is seeking a Lead Data Scientist to enhance fraud detection and FinCrime efforts. The successful candidate will collaborate with the FinCrime team to tackle business challenges, create data products, and employ machine learning to detect and mitigate fraud. This role is pivotal in driving impactful business outcomes for Tide.
Responsibilities:
Collaborating with the FinCrime team to solve business challenges
Translating business requirements into data products and models
Building and optimizing machine learning models
Productionizing models, ensuring scalability and real-time performance
Adopting new methodologies to improve fraud detection
Coaching junior data scientists
Serving as a technical subject matter expert
Requirements:
8+ years of data science experience, with a focus on fraud detection or financial crime
Extensive expertise in designing, developing, and deploying machine learning models
Proficiency in handling large, tabular datasets
Experience with tools like PySpark, Databricks, AWS, or GCP
Proven ability to deploy and optimize models in production environments
Tide is a rapidly expanding finance platform dedicated to saving small businesses time and money. It provides business accounts, banking services, and connected administrative solutions like invoicing and accounting. Serving over 1 million small businesses globally, Tide operates in the UK, India, and Germany. Headquartered in London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, the company fosters a transparent and inclusive environment. Tide embraces diversity and is committed to building products that resonate with the diverse needs of its members.