EdgeVerve - Data Scientist - Machine Learning/Artificial Intelligence
3 weeks ago
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 :
- 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 :
- 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.
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