Genpact : Machine Learning Expert –Data Science and Insights

Brief Description of position:

We are a global professional services firm that makes business transformation real. We drive digital-led innovation and digitally-enabled intelligent operations for our clients, guided by our experience running thousands of processes for hundreds of Global Fortune 500 companies. From New York to New Delhi and more than 20 countries in between, Genpact has the end-to-end expertise to connect every dot, reimagine every process, and reinvent companies’ ways of working.

Our focus is to make sure we have the right set of people delivering what we promise. People who think with design, dream in digital, and solve problems with data and analytics. People who obsess over operations, focus on the details, and lead change by being curious, incisive and courageous in everything they do—on a foundation of unyielding integrity.

We are Genpact. Transformation happens here. Come, be a part of our exciting journey!

Inviting applications for the role of a Machine Learning Expert - Data Science and Insights.

The candidate should be

MS in Mathematics, Computer Science, Information systems, or Computer engineering, Systems Engineering with 6+ years of relevant experience Or Computational Science or Applied Engineering with 6+ years of industry experience in Applied Machine Learning / Predictive Analytics.

Exposure to Machine Learning & Quantitative Methods in Marketing / Consumer Behavior is a must. Full cycle Real-world Analytics project experience is highly desirable: from creating a Business use case, PA assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management



Minimum Work Experience:

4 years

Mandatory SkillSet:

Statistics & EDA, Machine Learning, Deep Learning, SQL, NoSQL, Spark.

Summary of Responsibilities

There are 2 areas that this role will focus on in order of importance:

  1. Project Lead/Delivery - Lead the project, set expectations with the client/stakeholders and successful execution of the project
  2. Solutioning - Conceptualize and develop relevant Predictive Analytic solutions for our Analytic Customers. Envisioning opportunistic areas with our clients by demonstrating relevant and credible Predictive Analytics solutions and paradigms. The role may entail carrying out high level assessment of customer Analytics readiness and creating the associated analytic benchmarking which may ultimately converge into a client specific Predictive Analytics roadmap

Key Roles and Responsibilities

The Manager/Senior Manager ML is expected to play a pivotal bridging role between statistical, technology specialists, AND the business /functional resources. At a broad level, the Manager/Senior Manager shall leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with the statistical & technology specialist to bring large scale analytic solutions to fruition.

The key responsibilities of the Manager/Senior Manager ML are:

  • Participate in SME reviews of Predictive Analytics opportunities/ engagements
  • Project Delivery - This would entail successful delivery of projects involving data Preprocessing, Model Training and Evaluation, Parameter Tuning
  • Manage Stakeholder/Customer Expectations
  • Project Blue Printing and Project Documentation
  • Creating Project Plan
  • Jump-start Machine Learning projects with customer with focus on providing disruptive insights in reasonable timeframes.
  • Actively collaborate with competency leaders in Big Data, OR, BI areas to stich big ticket solutions with end-to-end span.
Desired Skills

Required and Preferred Skills

Specific Competencies – Essential


Exposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS

Very good Python/R programming skills. Java programming skills a plus

Direct involvement in working with large volumes of data and building, deploying and measuring predictive analytics models (i.e. SVM, decision tree, clustering, logistic regression, linear and non-linear regression)

Deep learning frameworks such as TensorFlow, Keras, Torch, Theano



6+ years analytic Solutioning & Consulting experience in verticals such as BFSI, CPG, with atleast 4 years’ experience in delivering analytics on large structured and unstructured data corpuses

Solid knowledge of concepts in Machine Learning, Statistics, esp., in their application to learning from large data sources.

Proven expertise in Quantitative modeling for Marketing Insights and Solid understanding of Consumer behavior theories and models.

Proven expertise in deriving insights from large distributed databases.

Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques

Specific Competencies – Desirable


  • Understanding of GraphDB and tools such as Neo4j etc.
  • Understanding of NLP, NLU and Machine learning/Deep learning methods
  • SQL/NoSQL, MS Access, databases
  • UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 
  • Linux, GPU Experience
  • Spark, Scala for distributed computing



  • Previous experience with Big Data analytics implementations, using either Vanilla Hadoop or Cloudera/IBM BigInsights
  • Ability to Prioritize, Consultative mindset & Time management skills
  • Understanding/experience with the Google Cloud Platform/AWS/Azure and other Big Data solutions such as Cloudera is preferred
Minimum Work Experience:
4 years
Maximum Work Experience:
20 years
Minimum Qualification:
Maximum CTC (in lakhs per annum):
Mandatory SkillSet:
NOSQL, SQL, Deep Learning, Machine Learning, Statistics & EDA.


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