As an Associate Data Scientist at IBM Consulting, you will play a pivotal role in leveraging data to solve business problems, create actionable insights, and drive decision-making. This role is part of IBM's Associate Program for university hires, which emphasizes professional development, mentorship, and career advancement in a collaborative environment.

Key Responsibilities

1. Model Development. Design, develop, and validate predictive and prescriptive models using advanced analytics tools such as Python, R, and TensorFlow. Focus on big data and apply machine learning techniques to develop solutions tailored to client needs.
2. Data Handling. Write efficient code to cleanse, integrate, and process data from various sources. Ensure data quality and consistency to support accurate analysis and model development.
3. Collaborative Analysis. Work in an Agile environment with data scientists, engineers, consultants, and database administrators. Collaborate to apply analytical methods and solve complex business challenges.
4. Client Communication. Engage with clients to understand their business needs, define appropriate modeling techniques, and deliver actionable insights. Translate technical findings into business recommendations.
5. Presentation of Results. Evaluate modeling results and present them to both technical and non-technical stakeholders. Ensure clarity and relevance of insights to support informed decision-making.

Required Qualifications

1. Educational Background. Bachelor’s degree in Mathematics, Computer Science, Statistics, or a related field.
2. Technical Skills. Proficiency in at least one statistical programming language (e.g., R, Python, Scala, SAS, SPSS, Matlab). Basic experience with predictive and prescriptive modeling techniques.
3. Programming Experience. Experience in programming or scripting languages such as Python or Java. Strong problem-solving skills and ability to approach technical challenges creatively.
4. Analytical Abilities. Strong analytical and technical abilities with a focus on driving impact through data insights. Ability to troubleshoot and resolve complex issues.
5. Travel Flexibility. Willingness to travel up to 100% as needed for client engagements.

Preferred Qualifications

1. Teamwork and Communication. Experience working effectively in team settings with excellent verbal and written communication skills.
2. Cloud Knowledge. Basic understanding of Cloud platforms (AWS, Azure, etc.) and experience with cloud-based data tools.
3. Data Integration. Familiarity with creating usable datasets from multiple structured and unstructured data sources.

Why IBM?

1. Career Development. Access to continuous learning opportunities, mentorship, and career advancement in a dynamic work environment.
2. Competitive Benefits. Comprehensive healthcare coverage, financial programs, generous paid time off, and educational resources.
3. Inclusive Environment. Join a diverse and inclusive team that values innovation, collaboration, and personal growth.

Application Instructions.Interested candidates should apply online and submit their resume and cover letter. IBM is an equal opportunity employer and is committed to creating a diverse environment.