Consultant

Infosys Limited is an Indian multinational information technology company that provides business consulting, information technology and outsourcing services.

Infosys DNA unit is positioned as a Leader in Gartner Magic Quadrant for Data and Analytics (D&A) Services for 2021. Infosys was recognized for its steady growth, maturity with D&A capabilities, and expansion of its global footprint and local resources. The recognition reflects how we help clients achieve data-led business transformation with our full stack of Data and Analytics offerings. We will continue to create and deliver innovative solutions to enable global clients accelerate their digital journey

Infosys Data, Analytics and AI Practice is hiring!!!

Job Title:

· Data Science (Intermediate/Senior)

Role Summary:

· We are looking for candidates to build and implement analytics solutions to our esteemed clients. The incumbent should have strong aptitude for numbers, experience in any domain and willingness to learn some cutting edge technologies.

Roles & Responsibilities:

· Understand the requirements from the business and translate it into an appropriate technical requirements.

· Creating a detailed business analysis, outlining problems, opportunities and solutions for a business.

· Perform activities related to data wrangling, model building and model deployment.

· Stay current with the latest research and technology and communicate your knowledge throughout the enterprise.

· Lead initiatives to improve the team morale, camaraderie, and collaboration

Technical Skills:

Must Have Skills:

· Hands-on experience in Data Science, Python/R, PySpark/SparkR Coding and associated state of the art technologies for Exploratory Data Analysis, building predictive models with big data. Familiarity with standard Clustering, Classification, dimensionality reduction and other techniques/Algorithms in Machine learning.

· Experience in building and implementing ML driven business transformation use cases such as Demand Forecasting, Price/Promo Optimization, etc.

· Hands-On MS Azure/GCP/AWS Cloud, Databricks/Snowflake, SQL knowledge

· Scaling ML Models from POC phase.

· List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup

· Ability to communicate actionable insights using data, often to a non-technical audience.

· Ability to drive end-to-end data driven solutions with excellent sense of risk and resource management in any given situation

· Good knowledge on statistical concepts such as properties of distributions, statistical tests and their proper usage.

· Analyze and extract relevant information from large amounts data to help in automating the solutions and optimizing key processes.

· A quick and enthusiastic learner (must) and who is willing to work on new technologies depending on requirement.

Other key to have Skills:

· SQL knowledge and experience working with relational databases.

· Understanding of any one of domain (Eg: Retail, Supply chain, Logistics, Manufacturing).

· Understanding of the project lifecycles: waterfall and agile.

Soft Skills:

· Strong verbal and written communication skills with the ability to work well in a team.

· Strong customer focus, ownership, urgency and drive.

· Ability to handle multiple, competing priorities in a fast-paced environment.

· Work well with the team members to maintain high credibility

Work Experience:

· Overall 6 – 8 of years of experience in Data Analytics, Data Science and Machine Learning.

Educational Requirements (any of the following):

· Bachelor of Engineering/Bachelor of Technology in any stream with consistent academic track record.

· Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework with consistent academic track record.

Additional Academic Qualification (good to have):

· Masters in any area related to Science, Mathematics, Statistics, Economy and Finance with consistent academic track record.

· PhD in any stream.

Location:

· Bangalore, Pune, Hyderabad, Chennai, Trivandrum, Mysore