DATA SCIENTIST

Who are we?

Infosys (NYSE: INFY) is a global leader in consulting, technology and outsourcing solutions. We enable clients, in more than 30 countries, to stay a step ahead of emerging business trends and outperform the competition.

We are looking for smart, self-driven, high energy people with top notch communication skills, intellectual curiosity and passion for analytics. Our analysts have a blend of in-depth domain expertise in one or more areas, strong business acumen and excellent soft skills.

What do we require?

Experience – 4 years and above

Industry knowledge- Knows basic principles of industry lexicon, competitor landscape, sub-verticals and related best practices in order to provide suggestions for specific functional processes. Basic understanding of industry standards to document current customer compliance and gaps.

Technical Requirements:

or higher degree in STEM subject.

experience in building and deploying machine learning models.

in conceptualize, formulate, prototype and implement algorithms to solve business problems.

least 3 years of OOP development using Python, with excellent and broad knowledge of popular Python packages, e.g. statsmodels, sktime, lightgbm etc

experience in complete SDLC process.

in Agile methodologies and hypothesis-driven approach, good to have.

Analytical ability- Looks at data from multiple sources and integrates data/inputs in a manner to build cause effect linkages to arrive at key issues. Uses understanding of the problem to arrive at multiple solution alternatives keeping in mind the various stakeholders and assess the pros and cons of all the alternatives to arrive at the optimal solution

Ability to suggest Analytics algorithms to use based on business situation mindful of fundamental assumptions in the algorithms; OR Work with other data scientists as a team to understand algorithms suggested and provide QA in algorithm choice from a business perspective

Responsible for successful delivery of Advanced Analytics solutions and services in client consulting environments; experience in optimization (linear, mixed integer, constraint programming), simulation, and/or predictive analytics using AAO tools, such as SAS or SPSS and other Tools R and Python.

Business acumen- Understands the linkages of metrics and end objectives to key business drivers and aligns team efforts to deliver on it. Demonstrates basic understanding of business financial parameters and is aware of business value impact of activities and decisions taken by him/her and team.

High Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline.

Responsibilities:

with existing team to develop, optimize and deploy counterfactual and promotion optimization models.

high quality and robust code.

in the improvement and scalability enhancement tasks on the code base.

and upskill more junior members of the team.

Nice to have:

with cloud platform, particular Azure and optimization libraries such as Gurobi.

in depth understanding of statistical modelling techniques and the mathematical foundations of applied ML algorithms and models.