Senior Data Scientist – Fraud Detection & AI Application

PureSpectrum; Hyderabad; On-site; INR 1,000,000 - 2,000,000; Full time

Benefits offered by this job

Comprehensive health insurance

Provident Fund (PF)

Robust leave policy

Regular team events

Job summary

PureSpectrum is seeking a Data Scientist to join their Data Science & AI team in Hyderabad. This role demands expertise in fraud detection, requiring hands-on construction of real-time anomaly detection systems and AI innovations. The ideal candidate will have a Master’s in a quantitative STEM field and over 5 years of experience applying data science in a high-growth environment.

Responsibilities include architecting ML models, leading technical best practices, and communicating complex findings to diverse teams while contributing to a collaborative culture.

Qualifications

• Over 5 years of hands-on experience applying data science to real-world challenges.
• Deep theoretical and practical knowledge of anomaly detection and evaluation metrics.
• Production-level coding proficiency in Python and advanced SQL.

Responsibilities

• Design, train, and deploy machine learning models to detect identity spoofing and survey fraud.
• Build robust data pipelines to ingest transaction volumes and conduct exploratory data analysis.
• Drive engineering excellence and best practices in ML lifecycle across the team.

Skills

Fraud detection

Data analysis

Stakeholder management

Machine Learning

Cloud Technologies

Python

Statistical modeling

Education

Master's degree in a quantitative STEM field

Tools

Scikit-learn

XGBoost

AWS

GCP

Databricks

MLFlow

SQL

Job description

PureSpectrum is a rapidly growing market research and insights platform that simplifies technology, allowing researchers to gather and activate consumer data without disruption. As the go‑to solution for high‑quality multi‑sourcing and fully automated research, PureSpectrum is helping to shape the future of insights.

Our Marketplace facilitates over 65 million online interviews annually, and our proprietary respondent‑level scoring system—PureScore—continues to set the industry standard for data quality and reliability.

Recognized globally for both innovation and culture, PureSpectrum has been named one of Newsweek’s Global Most Loved Workplaces (2023–2025), included in Inc.’s Best Workplaces (2024‑2025), certified as a Great Place to Work (2022‑2025), and featured on Built In’s Best Places to Work list (2023‑2025). PS is rapidly becoming the leading solution for quality multi‑sourcing and end‑to‑end automated research solution.

The Opportunity

We are looking for a Data Scientist to join our Data Science & AI team in Hyderabad. In this role, you will bring your deep expertise in fraud detection and threat mitigation, into the dynamic ecosystem of Market Research. We need a highly technical, hands‑on builder who can architect real‑time anomaly detection systems and isn’t afraid to get into the weeds of feature engineering and distributed computing. Beyond core fraud detection, you will act as a technical leader and trusted advisor. You will design Agentic AI systems to automate process workflows, build core product analytics, and guide cross‑functional teams (PMs and engineering) through modeling choices. You understand that deploying ML is as much a people and business challenge as it is a technical one, and you thrive in a high‑velocity, dynamic environment.

Location

Hyderabad, India - 3 days in office requirement

What You’ll Do

• Architect Real‑Time Risk & Fraud Systems: Design, train, and deploy high‑throughput machine learning models to detect identity spoofing, survey fraud, and bot nets. Expand these capabilities into broader cybersecurity risk scoring, threat intelligence, and vendor risk assessments.
• Process large scale transaction data: Build robust, distributed data pipelines to ingest massive transaction volumes. Perform deep exploratory data analysis (EDA) to identify complex behavioral patterns and anomalies.
• Lead Technical Groundwork & Best Practices: Take ownership of the end‑to‑end ML lifecycle. Drive engineering excellence by actively contributing to code reviews, system design discussions, and establishing robust data science methodologies across the team.
• Cross‑Functional Prototyping & Expansion: Translate ambiguous customer and business needs into concrete ML solutions. Design and build prototypes across varied platform use cases, optimizing data quality and sample delivery. Design and interpret back tests or offline evaluations for ML and rules‑based systems.
• Drive Agentic AI Innovation: Build autonomous AI agents (leveraging LLMs and RAG) to monitor external channels (e.g., scraping online forums for threat intelligence), enforce data quality, and automate operational overhead like code documentation.
• Advise & Communicate: Effectively communicate modeling choices, trust, and interpretability while delivering demos, executive presentations, and clear rollout plans.

What You Bring (Must‑Haves)

• Education: Advanced degree (Master’s) in a quantitative STEM field (Computer Science, Statistics, Mathematics, Engineering, Physics) or equivalent professional experience solving complex analytical problems.
• Experience: Over 5 years of hands‑on, production‑level experience applying data science to real‑world challenges, ideally within a high‑growth tech, cybersecurity, or product‑driven startup environment.
• Advanced ML & Stats Fundamentals: Deep theoretical and practical knowledge of statistical modeling, anomaly detection, evaluation metrics, and experimentation frameworks.
• Programming Mastery: Production‑level coding proficiency in Python and advanced SQL.
• Cloud & ML Frameworks: Deep expertise with traditional ML libraries (Scikit‑learn, XGBoost) and modern cloud‑based MLOps pipelines (AWS, GCP, Databricks, MLFlow).
• Domain Expertise: A proven track record in fraud detection, cybersecurity, threat intelligence, or risk scoring.
• Communication & Leadership: Excellent stakeholder‑management skills. Comfortable navigating diverse teams, partnering with product management, and communicating complex findings to non‑technical audiences.

Nice‑to‑Haves

• GenAI & LLMs: Genuine enthusiasm and hands‑on exposure to modern LLMs, modern modeling approaches, and deploying Agentic AI for business workflows.
• Intellectual Curiosity: A visible track record of your craft via GitHub profile showcasing personal ML/AI projects, open‑source contributions, research publications, hackathon participation or strong rankings in Kaggle competitions (especially in fraud or anomaly detection tracks).

PureSpectrum Perks

• We foster a modern, collaborative and inclusive culture that values flexibility, creativity, and open communication.
• Our team enjoys a competitive compensation and benefits package, including comprehensive health insurance, Provident Fund (PF), and other perks that support overall well‑being.
• We offer a robust leave policy covering casual, sick, and vacation leaves, along with special leaves for key life events.
• Regular team events, celebrations, and engagement activities strengthen our sense of community and belonging.
• At PureSpectrum, you’ll find a relaxed yet high‑performing workplace where you can grow professionally, build meaningful connections, and truly be yourself.

Diversity & Inclusion

PureSpectrum is proud to be an equal opportunity employer. We welcome candidates from all backgrounds and do not discriminate based on race, colour, religion, gender, gender identity, sexual orientation, age, disability, marital status, or any other characteristic protected by law.