Data Scientist

Introduction

At IBM Finance & Operations, we are the backbone of IBM's transformation driving efficiency, transparency, and smart decision-making across the business. Our teams provide the insight and discipline that guide strategy, ensure financial strength, and enable IBM to invest in innovation and growth. Working in Finance & Operations means combining analytical skills with collaboration and curiosity. You'll partner with colleagues across functions and geographies, using data, technology, and process excellence to create solutions that improve performance and deliver measurable impact. IBM offers continuous learning, career development, and a culture that values diverse perspectives. Join us and be part of a global team that keeps IBM moving forward, while building your own future in a dynamic and evolving environment.

Your role and responsibilities

As a Data Scientist: Generalist, you will convert business problems into analytics solutions using your consulting skills and business knowledge. You will analyze client business issues, formulate hypotheses, and test conclusions to determine appropriate solutions methods.

Your primary responsibilities will include:

Analyze Business Problems: Analyze client business issues, identify areas for improvement, and develop hypotheses to test and validate conclusions. This involves applying statistical techniques, modeling, and operations research to drive business insights.

Develop Analytics Solutions: Design and deploy analytics solutions that realize business value, exploring and examining data from multiple disparate sources to discover hidden insights and provide a competitive advantage.

Communicate Findings: Effectively communicate informed conclusions and recommendations to both business and IT leaders, influencing how the organization approaches business challenges.

Build Statistical Models: Develop and apply statistical models to extract insights from data, determining what it means and recommending ways to apply the data to drive business outcomes.

Explore and Examine Data: Extract, transform, and combine data from various sources to identify trends, patterns, and correlations that inform business decisions.

Required education

High School Diploma/GED

Preferred education

Bachelor's Degree

Required technical and professional expertise

Statistics and Modeling Foundation: Exposure to statistics, modeling, operations research, computer science, and math to analyze business issues and develop analytics solutions.

Data Analysis and Interpretation: Experience working with data from multiple disparate sources to extract, transform, and combine data, discovering hidden insights and informing business decisions.

Business Acumen and Communication: Exposure to communicating findings and recommendations to both business and IT leaders, influencing how an organization approaches business challenges.

Analytics Solution Development: Experience with designing and deploying analytics solutions that realize business value, applying statistical techniques and modeling to drive business insights.

Data-Driven Problem Solving: Exposure to analyzing business problems, identifying areas for improvement, and developing hypotheses to test and validate conclusions.

Preferred technical and professional experience

Computer Science Knowledge: Exposure to computer science concepts and applications to analyze business issues and develop analytics solutions.

Math Foundation: Experience working with mathematical techniques to drive business insights and inform decision-making.

Operations Research Understanding: Exposure to operations research principles to optimize business processes and solve complex problems.

ABOUT BUSINESS UNIT

IBM Finance & Operations (F&O) provides critical capabilities that enable IBM to operate as a data-driven enterprise powered by intelligent workflows. Our teams span Finance, Transformation & Operations, Strategy, and Mergers & Acquisitions. We partner across the company to drive business performance, enterprise transformation, and long-term growth. Through data-driven insights, innovative solutions, and strategic execution, we help IBM deliver greater value to clients, partners, employees, and shareholders.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM 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, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:

- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being

- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs

- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law

- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals

- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences

We consider qualified applicants with criminal histories, consistent with applicable law.

This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.