Associate AI & Analytics – Data Scientist-Finance Transformation 2026

<strong>Introduction<br><br></strong>A Career In IBM Consulting Is Rooted In Long-term Relationships And Close Collaboration With Clients Across The Globe. You'll Work With Visionaries Across Multiple Industries To<br><br>improve the hybrid cloud and AI journey for the most innovative and valuable<br><br>companies in the world. Your ability to accelerate impact and make meaningful<br><br>change for your clients is enabled by our strategic partner ecosystem and our<br><br>robust technology platforms across the IBM portfolio, including Software and<br><br>Red Hat. Curiosity and a constant quest for knowledge serve as the<br><br>foundation for success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions that result in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.<br><br>We are seeking a highly skilled Data Scientist to join our team in the AI industry. This role involves leveraging advanced analytics, machine learning, and statistical modeling to extract insights from large datasets and develop innovative AI-driven solutions. The ideal candidate will combine strong technical expertise with a passion for solving complex problems and driving data-informed decision-making.<br><br><strong>Your Role And Responsibilities<br><br></strong><ul><li>Design, develop, and implement machine learning models and AI algorithms to solve business challenges.</li><li>Analyze large, complex datasets to identify patterns, trends, and actionable insights.</li><li>Collaborate with cross-functional teams (engineering, product, and business) to integrate AI solutions into production systems.</li><li>Perform data preprocessing, feature engineering, and model optimization for high performance and scalability.</li><li>Conduct experiments and validate models using appropriate statistical techniques.</li><li>Communicate findings and recommendations through clear visualizations and reports.</li><li>Stay updated on emerging AI technologies, frameworks, and best practices.<br><br></li></ul>We have positions open in these locations:<br><br><ul><li> Austin, TX</li><li> Atlanta, GA</li><li> Chicago, IL</li><li> Dallas, TX</li><li> Houston, TX</li><li> Durham, NC</li><li> New York, NY<br><br></li></ul><strong>Preferred Education<br><br></strong>Bachelor's Degree<br><br><strong>Required Technical And Professional Expertise<br><br></strong><ul><li> A quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field</li><li> Strong Interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment.<br><br></li></ul>Proven experience in machine learning, deep learning, and statistical modeling.<br><br>Proficiency in programming languages such as Python or R.<br><br><ul><li>Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.</li><li>Experience working with large datasets and distributed computing frameworks (e.g., Spark, Hadoop).</li><li>Excellent problem-solving skills and ability to work in a collaborative environment.</li><li>General Familiarity with databases,<br><br></li></ul>data-engineering tools (SQL, Spark, Snowflake) and cloud platforms (e.g., IBM<br><br>Cloud, Azure, AWS). *Experience with NLP/LLM/GenAI is a plus<br><br><ul><li> Experience: familiarity with eval-driven development of AI Agents, ML&AI Ops/Observability</li><li> Skills/Tech: Python, Development/Deployment with coding agents (Cursor, Claude Code, Codex, etc)</li><li> Ethics/governance awareness, ability to translate business use cases into models</li><li> Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, PyTorch) is a plus</li><li>Experience in Natural Language Processing (NLP), Computer Vision, or Generative AI.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.</li><li>Strong understanding of data architecture and data engineering principles.</li><li>Prior experience in the AI industry or related research projects.</li><li>Experience with API development and integration for AI models.<br><br></li></ul>Understanding of ethical AI principles and data privacy regulations.

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...