AI Engineer / Data Scientist

Job Title – AI Engineer / Data Scientist Job Description: The Workplace Investing Reporting & Insights Chapter team is looking for an Al Engineer/Data scientist to join our team to help deliver reporting application and Al (Artificial Intelligence) models into production. This role is a dynamic Agle engineering position where you will partner with your teammates on our development team and peer data scientists to assist with data analysis, reporting and research; conduct tactical data extracts and build balanced ETL data pipelines; deploy Al Machine learning models via RESTful APIs, and structure model output data and build reports to measure deployed model efficiency. If you have an inquisitive and consulting approach, excellent SQL skills, strong experience in building and deploying data movement solutions and/or data centric APIs and a passion for delivering innovative products and services that improve the lives of our customers, a career on the WI Analytics and Reporting squad could be for you! The Expertise You Have Consistent record of accomplishment of working in collaborative teams to deliver high quality data solutions in a multi-developer agile environment following coding standard methodologies and CVCD pipelines. Outstanding Python and SQL skills and experience performing deep data analysis on multiple database platforms At least 5 years of building and deploying data movement and data transformation workflows, and pipelines. At least 5 years of proven web-service development experience with Java, Python and practical experience with AML models or their delivery At least 2 years experience in GenAL, preferably on Microsoft OpenAl or AWS Bedrock At least 5 years of experience as a data analyst At least 3 years of experience in developing reports using Power B At least 3 years of experience in working with databases such as Snowflake • Experience interacting with financial services and or digital channel data (Web clicks, Phone logs, email campaignal a plus. Hands on experience with AWS and/or Azure infrastructure strongly preferred. Familiarity or exposure to Vector ke RedisCache or AWS OpenSearch would be an added advantage Bachelor's degree in computer science or similar field. The Skills You Bring Dedicated, highly motivated and a quick learner Analytical approach-being confident in asking engaging questions to help tease out requirements details and technical i Excellent verbal and written comm cations skills -Ability to identity and convey significant partner insights through storytelling You love working with data and are confident in your SQL and data movement skills are passionate about data and technology and have experience with or an interest in Analytics and Reporting The Value You Deliver Work with data scientists and business sponsors to und tion options often from more senior team members and customers stand the business use cases that need to be solved and then conduct data analysis to find the night data sources for the prop nduct data analysis to protle needed tables Develop ETL workflows in AWS/Snowflake using Python to structure data for Al model training and development and to measure already deployed models. Develop data webservice APts in Jaws or Python to feed into models Develop reports using Power B Ability to learn quickly be flexible, adapt and strive to excel in a fast paced, changing env