Careers at Genpact


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Assistant Manager - Data Scientist

With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it. Now, we’re calling all you rule-breakers and risk-takers who see the world differently, and are bold enough to reinvent it. Come, transform with us.

Are you the one we are looking for?

Inviting applications for the role of AM, Data Scientist

Today, the world is operating in a more dynamic market, with more capable competitors than ever before. To meet our ambitions for democratizing access to the digital economy and financial services, we need to play our very best game. That’s why transforming the business to be more customer-centric and global in mindset to solve customer problems. Alongside Sales and Product functions, the Marketing function will be central to this transformation. With an ambition to create and embed a bold new operating model that will position us to compete and win in the market. It will empower marketers on the frontline and our Marketing function more broadly with the knowledge, skills, platforms, and capabilities to do exceptional work.


  • Participate and collaborate with Sales and Marketing teams in the organization to understand the business requirements and to deliver scalable solutions
  • Analyze user behavior, conversion data, customer journeys to generate hypotheses and build optimization plans and provide insights for feature improvements
  • Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies
  • Continuously think about how to improve the analytics infrastructure for the team and automate processes
  • Perform deep-dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents
  • Provide thought leadership within the marketing analytics community

Qualification we seek in you!

Minimum Qualifications/skills

  • Education in Statistics, Mathematics, Computer Science, or another quantitative field.
  • Relevant working experience
  • Knowledge of a variety of machine learning and Statistical techniques (Regression, Statistical Tests, Properties of distributions, Clustering, CART, SVM, etc.) and their real-world advantages/drawbacks.
  • Experience using computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Experience in creating AI/ML models for Marketing use cases
  • Experience in using industry-standard AI/ML libraries i.e. Sklearn, Keras, Tensorflow, AutoML, etc.
  • Experience in working on Marketing Analytics
  • Excellent communication & presentation skills
  • Good exposure in the Marketing analytics domain for a Fintech-based client and should be able to break the problem into small chunks
  • Ability to create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection
  • Ability to use creativity to spot trends and tease out patterns in large datasets
  • Good analytical and problem-solving skills, and ability to set goals and meet deadlines in a fast-paced working environment

Preferred Qualifications/skills

  • Knowledge of Hadoop/Hive is good to have


Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit Follow us on Twitter, Facebook, LinkedIn, and YouTube.


Job: Assistant Manager

Job ID: ANA003516

Primary Location: India - Bangalore

Education Level: Master's / Equivalent

Job Posting: Jan 21, 2022

Master Skills List: Operations

Job Category: Full Time