Data Scientist

Infosys Finacle; Bengaluru; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

Infosys Finacle seeks data science professionals adept at Python for data manipulation and deriving insights from large datasets. The role emphasizes regression and advanced statistical techniques along with experience in machine learning models and AI-driven solutions.

You will build algorithms, run experiments, and prepare data-driven reports for stakeholders. Applicants should be capable of hosting models as APIs and communicating complex results clearly to non-technical colleagues,

Qualifications

• Proficient in Python for manipulating data and deriving insights from large datasets.
• Strong knowledge of regression, distributions, statistical tests and related concepts.
• Experience with advanced ML algorithms and statistics for business impact.

Skills

Python

Statistical techniques

Machine learning algorithms

API deployment

Communication

AI solutions

Prototyping

Predictive modeling

Explainable AI

Research & experimentation

Job description

• Excellent analytical and problem-solving skills .
• Experience using statistical computer language Python to manipulate data and draw insights from large data sets.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks.
• Should be able to host the models and make them API convertible.
• Good communication and presentation skills to explain your work to people who don't understand the mechanics behind data analysis.
• Working on Cutting Edge AI solutions in partnership with best of business in the industry. Propose innovate solutions and adopt quickly to dynamic learning environment.
• Build AI algorithms and design experiments to merge, manage, interrogate, and extract data to supply tailored reports to colleagues, customers, or the wider organization .
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Bring about Explainable and Responsible AI.
• Conduct research from which you'll develop prototypes and proof of concepts Look for opportunities to use insights/datasets/code/models across other functions in the organization
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.