EdgeVerve - Data Scientist - Machine Learning/Artificial Intelligence (5-15 yrs)

What we do :

Finacle's AI Research team is at the forefront of driving Finacle's technological revolution via AI. Our team has consistently been a pioneer in AI, keeping pace with the rapid evolution of the field.

What you will gain :

- Working in the AI research team at Finacle will provide you exposure to the latest advancements in artificial intelligence and its applications in the financial sector.

- You'll be deeply involved in all stages of new product development.

- You will acquire a comprehensive understanding of AI concepts, algorithms, and techniques, spanning diverse fields such as Generative AI and Predictive Analytics.

- The team's focus on research and innovation offers a highly stimulating environment for intellectual growth and development.

- The research conducted by the team can have a significant impact on the financial industry, contributing to advancements in products, services, and customer experiences.

- The team's focus on innovation encourages researchers to think creatively and explore new approaches to solving challenges.

Requirements :

- Minimum 5+ years of Experience required

- Excellent analytical and problem-solving skills

- Experience using statistical computer languages (Python, SLQ, etc.) 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 in order to explain your work to people who don't understand the mechanics behind data analysis

Responsibilities :

- 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.

- Move fast, Break things, Learn, Make History, Stay Curious.