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Introduction
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
Your role and responsibilities
Resource should have 5-7 years of experience. Sound knowledge of Python and familiarity with ML-related services.
Proficient in Python with a focus on Data Analytics packages.
Analyze large, complex data sets and provide actionable insights to inform business decisions.
Design and implement data models to identify patterns and trends. Collaborate with data engineers to optimize and maintain data pipelines.
Perform quantitative analyses that translate data into actionable insights, supporting data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models.
Required technical and professional expertise
Experience with conversation analytics and cloud technologies.
Experience with data exploration tools such as Tableau.
Preferred technical and professional experience
Collaborate with the broader team to build, analyze, and improve AI solutions.
Work with software developers to integrate and consume various enterprise applications.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM also complies with all fair employment practices regarding citizenship and immigration status.