Data Scientist - Director - Data & Analytics Engineering
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, popular Data Scientist title, metro Bangalore location, and mid-level seniority drive high applicant competition.
Fraud detection, financial crime, and model governance expertise are strongly industry-specific, reducing cross-industry transferability.
Explicit 6+ years, mandatory ML/statistics skills, Python/SQL and Big Data tool requirements increase shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end development of statistical and machine learning models to detect and mitigate fraud risk in complex, evolving environments.
Manage model deployment lifecycle including monitoring for performance degradation and recommending recalibration or retirement as needed.
Provide technical guidance and mentoring to junior data scientists and engineers, while independently handling model development projects with senior oversight.
Minimum Requirements
6+ years of professional experience in data science, machine learning, statistical modeling, or quantitative analytics.
Strong expertise in statistical inference, probability, hypothesis testing, model calibration, and diagnostics.
Proficiency in Python and SQL; experience with big data technologies such as Hadoop, Hive, Impala, Spark, or PySpark.
Work Experience Required: 6+ years in relevant fields; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Skilled at independently managing complex model development projects within regulated financial environments.
Experience applying advanced statistical and machine learning techniques to large, imbalanced, and non-stationary datasets for fraud or financial crime detection.
Ability to translate complex analytical results clearly to both technical and non-technical stakeholders, supporting governance and validation processes.