Data Science Lead

Job Description

Hansa Cequity is one of the leading data driven, connected CX services provider in India. It provides integrated solutions in Marketing, Data Analytics, MarTech, Campaign management, Digital and Contact centre to enable its clients to acquire customers intelligently, retain and manage them profitably.

With a data driven marketing approach and strategy we help companies leverage the power of technology through propriety and best in class marketing automation and analytics platforms. Our teams glean out insights and understand our clients customers and prospects. Our campaign management and digital marketing consultants then move in to create meaningful engagements opportunities in a multi-channel environment. Our key objective is to drive measurable business growth for clients.

We stand among the top 50 analytics company in India.

Please visit http://www.hansacequity.com for further understanding.

LinkedIN page : https://www.linkedin.com/company/hansacustomerequity/

Role Overview:

We are seeking an experienced Data Scientist with strong expertise in predictive modeling, customer analytics, and ML deployment. The ideal candidate will have hands-on experience with Python, SQL, and cloud-native ML platforms (Azure ML / AWS SageMaker), with proven ability to build and operationalize models that drive measurable business outcomes such as churn reduction, ARPU growth, and customer retention. This role involves close collaboration with Data Engineering, BI, Marketing, CRM, and Product teams to ensure data-driven interventions are effectively planned, executed, and tracked.

Key Responsibilities:

• Develop, validate, and deploy predictive models (e.g., churn, upsell, ARPU, price sensitivity, content affinity) using Python/SQL and cloud ML frameworks (Azure ML / AWS SageMaker).
• Own end-to-end model lifecycle including training, scoring, monitoring, retraining cadence, versioning, and documentation.
• Work with Data Engineering and BI teams to ensure consistent ingestion, validation, and enrichment of subscriber-level data across recharge, packs, device, channel, OTT usage, and call-centre interactions.
• Implement model performance monitoring, including drift analysis (PSI/CSI), feature stability checks, and scoring alignment with weekly/monthly campaign cycles.
• Translate model outputs into actionable campaign segments, dashboards, and insights for Marketing, CRM, and Product teams.
• Track incremental ARPU, retention uplift, campaign ROI, and other KPIs to measure business impact of model-driven interventions.
• Develop a long-term AI/ML roadmap including segmentation, propensity models, next-best-action systems, and GenAI applications to improve customer understanding.
• Serve as an analytical advisor to business leadership, ensuring all work aligns with strategic business objectives and drives tangible commercial outcomes.

Technical Skills:

• Programming & ML: Python (Pandas, NumPy, Scikit-learn, TensorFlow / PyTorch), SQL
• Cloud Platforms: Azure ML, AWS SageMaker (experience with CI/CD and MLOps preferred)
• Data Engineering & Processing: Data Wrangling, Feature Engineering, Model Monitoring, Version Control
• Visualization & Reporting: Power BI / Tableau (for campaign tracking & business insights)
• Analytics Areas: Churn prediction, customer segmentation, upsell & retention modeling, ROI-based campaign evaluation

General Competencies:

• Strong analytical and problem-solving capabilities with a business-impact mindset.
• Ability to communicate model logic and insights clearly to non-technical stakeholders.
• Collaborative approach, comfortable working across cross-functional teams.
• Proactive, detail-oriented, and committed to continuous improvement in data and AI practices.

Job Types: Full-time, Permanent

Pay: ₹700,000.00 - ₹1,200,000.00 per year

Benefits:

• Health insurance
• Life insurance
• Provident Fund

Work Location: In person