Senior Manager Data Science | Swiggy | Bangalore

Apply for the Senior Manager Data Science Job at Swiggy Bangalore. Check eligibility, AI leadership skills, ML requirements, salary insight, and application process.

Swiggy

Senior Manager Data Science Job Overview

The Senior Manager Data Science Job at Swiggy is an excellent opportunity for experienced AI and machine learning professionals looking to lead large-scale data science initiatives in India’s fast-growing technology ecosystem.

Based in Bangalore, this Data Science leadership role focuses on advanced machine learning, Generative AI, recommendation systems, forecasting, and logistics optimization. The selected candidate will lead high-performing data science teams and contribute directly to products used by millions of users across India.

This Senior Manager Data Science Job is ideal for professionals with strong expertise in AI leadership, ML engineering, deep learning, analytics, and scalable data infrastructure. Candidates interested in AI leadership jobs and machine learning management roles should consider applying early while the application remains live.


Senior Manager Data Science Job Summary

Particulars Details
Job Title Senior Manager, Data Science
Company Swiggy
Job ID 26579
Team Data Science
Experience Required 10–12 Years
Job Location Bangalore, India
Qualification Bachelor’s or Master’s Degree
Employment Type Full Time
Opening Date Not officially specified
Closing Date Not officially specified
Application Status Application currently live
Official Apply Link Swiggy Careers

Important Note

The application process for this Senior Manager Data Science Job is currently active. Interested candidates are advised to apply early to avoid last-minute rush.


About Swiggy

Swiggy is one of India’s leading technology-driven convenience and quick commerce platforms. Starting as a hyperlocal food delivery service, the company has expanded into multiple verticals including:

  • Swiggy Instamart
  • Swiggy Genie
  • Dineout
  • Logistics and real-time delivery intelligence

Swiggy heavily utilizes artificial intelligence, data science, machine learning, forecasting systems, and recommendation engines to optimize customer experience and operational efficiency. The organization operates at massive scale and handles large volumes of real-time transactional and behavioral data.


About the Senior Manager Data Science Job

This Senior Manager Data Science Job at Swiggy combines technical leadership, people management, and strategic business problem solving. The selected candidate will work closely with product, engineering, analytics, and business teams to develop intelligent AI-powered systems.

The role involves:

  • Leading data science and machine learning teams
  • Managing end-to-end ML lifecycle
  • Building scalable AI systems
  • Driving Generative AI innovation
  • Improving logistics and recommendation systems
  • Creating business impact through advanced analytics

This is not just a management role. It is an opportunity to influence AI-driven decision making at one of India’s largest consumer technology platforms.


Senior Manager Data Science Job Responsibilities

Team Leadership & Mentorship

  • Lead and mentor a team of 8–10 data scientists and ML engineers
  • Build a high-performance and innovation-driven work culture
  • Support team development and career growth

Strategic Roadmap Planning

  • Partner with Product and Engineering leaders
  • Identify high-impact machine learning opportunities
  • Convert business problems into scalable AI solutions

Machine Learning Leadership

  • Oversee the complete ML lifecycle
  • Handle model ideation, experimentation, deployment, and monitoring
  • Ensure statistical rigor and engineering excellence

Generative AI & Advanced Analytics

Work on advanced business problems involving:

  • Personalization systems
  • Recommendation engines
  • Search optimization
  • Customer intelligence
  • Internal productivity systems

Logistics & Marketplace Optimization

  • ETA prediction
  • Driver assignment
  • Route optimization
  • Delivery batching

Forecasting & Supply Chain Analytics

  • Demand forecasting
  • Inventory optimization
  • Supply prediction
  • Marketplace balancing

Stakeholder Communication

  • Present technical insights to leadership teams
  • Explain business impact of machine learning initiatives
  • Align AI strategy with business objectives

Hiring & Team Building

  • Participate in recruitment and hiring
  • Help scale data science capabilities within Swiggy

Senior Manager Data Science Job Requirements

Education Requirement

Candidates should possess:

  • Bachelor’s Degree or
  • Master’s Degree

Preferred disciplines include:

  • Computer Science
  • Statistics
  • Operations Research
  • Economics
  • Related quantitative fields

Experience Requirement

Applicants should have:

  • 10+ years of experience in data science or machine learning roles
  • 2+ years of formal leadership experience
  • Experience managing and mentoring data science teams

Skill Requirement

Programming & Analytics

  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • SQL

Machine Learning Frameworks

  • TensorFlow
  • PyTorch
  • Keras

Big Data Technologies

  • Spark
  • Hive
  • Presto

Artificial Intelligence & Deep Learning

  • CNNs
  • RNNs
  • Transformers
  • Generative AI solutions

MLOps & Production Systems

  • Kubeflow
  • MLflow
  • Production ML deployment
  • Monitoring and model maintenance

Statistical & Experimental Methods

  • A/B Testing
  • Causal inference
  • Statistical modeling
  • Experimental design

Leadership & Communication

  • Team management
  • Stakeholder collaboration
  • Technical presentation skills
  • Cross-functional coordination

Preferred Qualifications for Senior Manager Data Science Job

Candidates with the following additional expertise may receive preference:

  • Real-time low-latency machine learning deployment
  • Geospatial analytics and optimization
  • Experience with GeoPandas, H3, or S2
  • Research publications in AI/ML conferences
  • Experience scaling data science teams

Important Dates for Senior Manager Data Science Job

Event Date
Opening Date Not officially specified
Closing Date Not officially specified
Application Status Currently Live

Application Advice

Since no official closing date has been announced, candidates interested in this Senior Manager Data Science Job should apply as early as possible.


Why This Senior Manager Data Science Job Stands Out

This Senior Manager Data Science Job at Swiggy offers exposure to one of India’s largest AI-powered operational ecosystems. The selected candidate will work on:

  • Real-time AI systems
  • Advanced recommendation engines
  • Generative AI applications
  • Large-scale forecasting systems
  • High-volume logistics optimization

Professionals seeking AI leadership jobs, machine learning management roles, and data science leadership opportunities will find this role highly valuable for long-term career growth.


Who Should Apply for This Senior Manager Data Science Job

This opportunity is suitable for:

  • Senior Data Scientists
  • AI Managers
  • Machine Learning Leaders
  • Analytics Managers
  • Deep Learning Specialists
  • Generative AI Professionals
  • Recommendation System Experts
  • Professionals experienced in scalable AI systems

Candidates with experience in product technology companies, marketplace optimization, and ML engineering leadership roles are encouraged to apply.


Preparation Guide for Senior Manager Data Science Job

Candidates preparing for this Senior Manager Data Science Job should focus on both technical and leadership preparation.

Technical Preparation Areas

  • Machine learning algorithms
  • Deep learning architecture
  • Recommendation systems
  • Demand forecasting
  • Generative AI applications
  • SQL and distributed computing

Leadership Preparation

  • Team management scenarios
  • Cross-functional collaboration
  • Product strategy discussions
  • Stakeholder communication

Machine Learning System Design

Prepare for discussions related to:

  • MLOps architecture
  • Production deployment
  • Model monitoring
  • Scalable AI infrastructure

Interview Preparation Tips

Candidates should prepare:

  • Real-world machine learning case studies
  • Business impact examples
  • AI implementation stories
  • Problem-solving frameworks

Senior Manager Data Science Job Salary Insight

Swiggy is known for offering competitive compensation packages for senior technology leadership roles. Compensation for this Senior Manager Data Science Job may include:

  • Fixed annual salary
  • Performance bonuses
  • ESOPs or stock benefits
  • Leadership incentives

The final salary package may depend on:

  • Overall experience
  • AI and ML expertise
  • Leadership exposure
  • Current compensation
  • Interview performance

Senior AI leadership jobs in Bangalore technology companies generally offer premium salary packages due to high market demand.


Senior Manager Data Science Job FAQ

What is the location of this Senior Manager Data Science Job?

The job location is Bangalore, India.

What experience is required for this role?

Candidates should have at least 10 years of experience in data science or machine learning along with leadership exposure.

Is leadership experience mandatory?

Yes. Candidates should have at least 2 years of experience managing or mentoring teams.

Which technologies are important for this role?

Python, TensorFlow, PyTorch, SQL, Spark, Generative AI, and MLOps tools are important for this Senior Manager Data Science Job.

Has Swiggy announced the application deadline?

No official closing date has been mentioned. The application process is currently live.

Does Swiggy offer Generative AI leadership opportunities?

Yes. The role specifically includes solving complex business problems using Generative AI solutions.


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Why You Should Apply for This Senior Manager Data Science Job

The Senior Manager Data Science Job at Swiggy is an outstanding opportunity for experienced AI and machine learning professionals who want to work on large-scale, real-time business challenges.

This role provides:

  • AI leadership exposure
  • Advanced machine learning projects
  • Generative AI innovation
  • Team management opportunities
  • Large-scale data science impact
  • Strong long-term career growth potential

Professionals interested in high-impact AI leadership jobs and machine learning management careers should consider applying early.


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To apply for this job please visit careers.swiggy.com.

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