DescriptionTransform raw data into innovative solutions and unleash your potential in a role that shapes the future.
As a Data Science Analyst in the Operations team you will engage in intelligence automation and business analysis to gather requirements. Your role will involve translating these requirements into process improvements and solutions for operational efficiencies. You will be responsible for gathering information executing and implementing automation and digitization strategies.
Job Responsibilities:
- Research gather and prepare information for analysis and reporting.
- Contribute to and support projects and initiatives with key stakeholders.
- Execute basic solution design and development and troubleshoot technical aspects.
- Collect analyze and monitor lowcode/nocode automation in test and production while adhering to the firms standards and controls.
- Utilize support and administer tools for automation.
- Stay updated with the latest advancements in NLP and LLM technologies to enhance solution offerings.
- Collaborate with crossfunctional teams to understand risk ethical concerns and other issues related to AI use
Required Qualifications Skills and Capabilities
- Freshers or individuals with up to 2 years of work experience with an engineering or equivalent background are welcome.
- Excellent handson skills in AI/ML Python Alteryx PEGA workflow.
- Intermediate knowledge of Python.
- Intermediate knowledge of PEGA workflow.
- Intermediate experience using Microsoft Office suite including Excel Visio and PowerPoint
Preferred Qualifications Skills and Capabilities:
- Understanding of basic software development principles.
- Basic knowledge of intelligence automation applications and other coding languages such as AI/ML Python and PEGA.
- Beginnerlevel skills with an understanding of business analysis development testing and deployment.
- Bachelors degree in a relevant field.
- Masters degree in Computer Science AI or ML with handson capabilities in developing solutions will be preferred.
Required Experience:
IC