Business Analyst - Data Science

About Genpact

Genpact is a global professional services firm that makes business transformation real. Genpact works and supports businesses solves problems, and delivers ideas that help make significant and worthwhile modifications for their betterment. 

Your role

The AI Engineer is expected to leverage his/her expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with the team of specialists to bring large-scale AI solutions to fruition.

The key responsibilities of the AI Engineer are:

• Creation of cutting-edge models for understanding vast amounts of textual, numeric, graphic, and speech data
• Creation and deployment of production-ready code
• Create a framework for AI/ML code deployment to ensure the robustness and reliability of production-ready models

Training & development

The company encourages and empowers people to acquire new skills and receive learning opportunities and quality training while reinventing themselves to suit the changing needs of the world around them. 

Salary & benefits

The annual salary for this role can range from INR 2.6 to 4.0 LPA (Source: Ambition Box). They provide the following benefits.

• Insurance, Health & Wellness
• Financial & Retirement
• Family & Parenting
• Vacation & Time Off
• Professional Support

Career progression

Genpact is committed to enhancing the skills and competencies as well as the personal growth and development of its employees. Performance management is a critical area for Genpact, and they invest in planning each employee’s career and aligning his or her goals with larger organizational goals. When every goal an employee is appraised on is linked to a bigger organizational goal, accountability, and ownership are driven on the job every single day.

Work-life balance

Work days are usually from Monday to Friday with flexible work timings. This role is considered flexible and will be a mix of working from the office and home depending on your preferences and the arrangements determined by your future manager.

Culture & vibe

The firm believes that it drives the necessary change to make a difference. It comprises diverse roles, offers, and people. It is a great place to learn and grow. The work environment is cordial and overall fulfilling.

About you

Coursework and Education

• BTech in Computer Science/Computer Engineering, Information Technology, Electronics, and Communication.
• Academic coursework in various levels of math dealing with probability and statistics, Bayesian networking and graphical modeling, and coverage of deep learning and neural networks and cognitive science
• One or more assignments completed in designing, building, training, and deploying a model for a given area.

Technology skills

• Exposure to Statistical Toolkits such as R, Weka, Python
• Very good Python/R programming skills. Java programming skills a plus
• Building, deploying, and measuring predictive/prescriptive analytics models (i.e. SVM, decision tree, clustering, logistic regression, linear and non-linear regression, ANN, CNN, RNN)
• Deep learning frameworks such as Tensor Flow, Keras, Torch, Theano
• Tooling frameworks like PyCharm or Jupyter
• Understanding of Graph DB 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
• Public cloud exposure.

Other Skills

• Strong Teamwork and collaboration skills.
• The ability to work in a fast-paced development environment where priorities can shift on a dime.
• Can-do attitude with the ability to learn new technology and concepts, analyze problems, and propose creative solutions.

How to apply

To apply for this role, click the "Apply on employer site" button below, which navigates to the career page where the application can be submitted directly.