Lead Research Data Scientist: Fraud Detection & ML (Hybrid)

Kantar; Greater London; Hybrid; GBP 75,000 - 95,000; Full time

Job summary

A leading data insights and consulting company is seeking a Lead Research Data Scientist to enhance data quality through innovative fraud detection techniques. You will design machine learning models, perform behavioral analysis, and mentor junior team members, all while working in a hybrid model. Ideal candidates should hold a PhD in Data Science or related fields and possess strong programming skills. Join us to make a significant impact in the field of data science.

Benefits

Competitive salary and performance-based bonuses

Flexible working hours

Access to global datasets and cutting-edge tools

Opportunities for professional development

Qualifications

• At least 2 years of experience in fraud detection or automated data quality solutions.
• Proficient in Python and R with experience in relevant libraries.

Responsibilities

• Design and validate machine learning models for fraud detection.
• Develop real-time scoring systems to assess data quality.
• Collaborate with teams to embed fraud detection in workflows.

Skills

Python

R

Machine Learning

Natural Language Processing

Deep Learning

Statistical Modeling

Behavioral Analytics

Anomaly Detection

Data Validation

Education

PhD in Data Science or related field

Tools

TensorFlow

PyTorch

SQL

Kafka

Azure ML

AWS

Job description

A leading data insights and consulting company is seeking a Lead Research Data Scientist to enhance data quality through innovative fraud detection techniques. You will design machine learning models, perform behavioral analysis, and mentor junior team members, all while working in a hybrid model. Ideal candidates should hold a PhD in Data Science or related fields and possess strong programming skills. Join us to make a significant impact in the field of data science.