Data Science PHD Chennai / Bangalore

Hi,
We are having opening for Sr Analyst Data Science - PHD in Statistics,


Job Summary We are seeking a Lead / Senior Data Analytics Engineer to drive the design, development, and delivery of enterprise data platforms. You will act as a technical authority for data pipelines, data warehousing, and big data architecture while providing technical guidance to junior/mid-level team members. In addition to core data engineering expertise, experience leveraging AI / GenAI to accelerate data modeling, pipeline automation, and code generation is highly desirable.

Working Days: Monday Friday
Job Timing: Dayshift



Position / DesignationSenior Analyst Data Science-
QualificationPhD in Statistics, Machine Learning or Deep LearningYears of Experience1-15 years (Completion of PhD is a strict requirement)Permanent / Contract (If contract, period ?)Permanent Full TimeIndustry FinTech, Payments, BankingOffice / Remote / Hybrid Taramani, Chennai 600113, Tamil Nadu, India/
Bellandur Village, Bengaluru, Karnataka
Number of post1GenderMale / FemaleAnnual CTC / SalaryAs Per Industry Standard
Selection Process1- Total 3 Technical round
2- 2 rounds evaluation (we can plan to take this together based on panel availability) & 1 with client Job Role & Responsibility
Design, develop, and deploy advanced machine learning models for fraud detection.
Have in-depth knowledge in Graph Neural Networks (GNN), Transformers,
Variational Auto Encoders, Deep Learning Models and advanced ML concepts.
Perform data analysis, feature engineering, and statistical modeling on large-scale transactional datasets.
Collaborate with compliance, risk, and operations teams to translate requirements into actionable data science solutions.
Build and maintain data pipelines using SQL, Python, and AWS services (SageMaker, Redshift, S3, Lambda).
Support the integration of ML models into production environments, including Feedzai.
Monitor and evaluate model performance, prepare reports, and recommend improvements and ensure solutions align with regulatory standards and organizational policies. .
Skills

• Experience: 1+ years of experience in Data Science and experience in FinTech, Payments, Banking is preferred.

• Strong programming and analytical skills with Python, SQL, and statistical techniques.

• Experience in applying machine learning methods such as classification, clustering, anomaly detection, and NLP.

• Implementing existing research / developing novel algorithms, technical solutions to combat fraud and anti-money laundering (AML) use cases.

• Exposure to Feedzai or similar fraud detection platforms and AWS experience is preferred.

• Strong communication and collaboration skills, with the ability to work across cross-functional teams.

Joining DateNeed Immediate to 1 Month