Data Scientist / Machine Learning Consultant - Hyper-Personalization POC

SLAMcore; Mumbai; On-site; INR 11,793,000 - 18,225,000; Full time

Job summary

SLAMcore is seeking a Data Scientist / Machine Learning Consultant to lead hyper-personalization analytics for a confidential banking transformation project in Mumbai. The engagement is Independent Consultant / Contract, ~4 months with potential extension, onsite from start ASAP.

The role requires hands-on Python/SQL, customer segmentation, predictive modelling and NBA/NBO analytics. GenAI prototype development is a plus; strong English communication and independence are essential.

Qualifications

• 5–8 years of hands-on Data Science / Machine Learning experience
• Strong hands-on Python/SQL
• Proven experience in customer segmentation / micro-segmentation
• Proven experience in predictive modelling / propensity modelling
• Experience working with customer-level data and translating analytics into actionable business outcomes
• Ability to work independently with limited technical supervision
• Strong communication skills in English
• Must be available to work onsite in Mumbai

Responsibilities

• Perform customer data diagnostics, data preparation and feature engineering
• Develop actionable customer micro-segments using advanced analytics techniques
• Build and refine propensity / predictive models for customer and product opportunities
• Support Next Best Action (NBA) / Next Best Offer (NBO) analytics and customer journey design
• Develop analytics supporting campaign prioritization and personalized engagement
• Contribute to pilot/control design, campaign measurement and impact assessment
• Work with Python/SQL for data analysis, modelling and experimentation
• Potentially develop lightweight GenAI prototypes/applications for personalized campaign content
• Present analytical findings and recommendations to consulting/client stakeholders

Skills

Python

SQL

Customer segmentation

Predictive modelling

GenAI prototyping

Tools

GenAI

Job description

Data Scientist / Machine Learning Consultant – Hyper-Personalization POC

Location: Mumbai, India – Onsite

Experience: 5–8 years

Engagement: Independent Consultant / Contract

Duration: ~4 months (Potential of extention)

Start: ASAP

Work Arrangement: Full-time, onsite

Payout: USD – Competitive, based on experience

About the Opportunity

A leading global strategy and consulting firm is supporting a confidential transformation project for a leading Indian bank focused on building and demonstrating the business impact of hyper-personalized customer engagement.

The project will involve customer-level analytics, advanced segmentation, predictive modelling and next-best-action/next-best-offer use cases, with the potential for GenAI-enabled personalization prototypes during later stages.

We are looking for a hands-on Data Scientist / Machine Learning Consultant who can independently contribute across the analytics lifecycle and work closely with the consulting and client teams.

Key Responsibilities

• Perform customer data diagnostics, data preparation and feature engineering
• Develop actionable customer micro-segments using advanced analytics techniques
• Build and refine propensity / predictive models for customer and product opportunities
• Support Next Best Action (NBA) / Next Best Offer (NBO) analytics and customer journey design
• Develop analytics supporting campaign prioritization and personalized engagement
• Contribute to pilot/control design, campaign measurement and impact assessment
• Work with Python/SQL for data analysis, modelling and experimentation
• Potentially develop lightweight GenAI prototypes/applications for personalized campaign content
• Present analytical findings and recommendations to consulting/client stakeholders

Must-Have Requirements

• 5–8 years of hands-on Data Science / Machine Learning experience
• Strong hands-on Python/SQL
• Proven experience in customer segmentation / micro-segmentation
• Proven experience in predictive modelling / propensity modelling
• Experience working with customer-level data and translating analytics into actionable business outcomes
• Ability to work independently with limited technical supervision
• Strong communication skills in English
• Must be available to work onsite in Mumbai

Preferred Experience

• NBA / NBO / Next Best Action / Next Best Offer
• Customer propensity modelling
• Personalization / recommendation analytics
• Contextual bandits / reinforcement-learning-based experimentation
• Banking / financial services / customer analytics
• Campaign analytics and measurement
• Hands-on GenAI prototype/application development
• Experience with LLMs, RAG, AI agents or GenAI applications

Ideal Candidate

The ideal consultant is a Senior Data Scientist / ML Engineer / Data Science Consultant who combines strong technical execution with the ability to independently structure analytical problems, build models and translate findings into practical customer-personalization use cases.

At least one consultant on the project will ideally have stronger GenAI hands-on experience, so candidates with proven experience building GenAI applications/prototypes are particularly encouraged to apply.

Important

This is a confidential consulting engagement. Further project and client details will be shared with shortlisted candidates as appropriate.

If this opportunity interests you, we'd love to hear from you! Click Apply to submit your application, or for a faster response, feel free to WhatsApp me directly at [phone] or email your CV to [e-mail]

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