Introduction

As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities

The Data Scientist role is designed for a highly analytical and technically skilled individual who excels in data-driven environments. The candidate should possess a strong background in Python programming, database management, and data science methodologies. This role primarily focuses on leveraging data to drive insights and decision-making. The core responsibilities of the role include a range of data science tasks, such as collecting and cleansing data, exploring, and visualizing insights, and applying statistical and mathematical analysis techniques. It involves developing and implementing machine learning and deep learning models, managing big data infrastructure, and executing data engineering tasks. Additionally, the role requires maintaining codebase integrity through version control and designing, creating, and supporting AI-driven products to deliver impactful AI solutions.

Responsibilities include:

• Collecting and cleansing data from diverse sources for analysis, ensuring high-quality and relevant datasets (structured and unstructured) for effective decision-making.

• Exploring and visualizing data to uncover insights and trends, using advanced tools and techniques for meaningful data interpretation.

• Applying statistical and mathematical techniques to analyze data, providing robust analytical foundations for predictive modeling and inference.

• Developing and implementing machine learning and deep learning models

• Adaptation of foundation models/LLMs to address specific business challenges.

• Expertise in ML-Ops / AI-Ops

• Managing big data infrastructure and carrying out data engineering tasks, ensuring efficient data storage, processing, and retrieval.

• Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and error-free development environment.

• Designing, creating, and supporting AI-driven products, focusing on delivering scalable and impactful AI solutions that meet user needs and business objectives.

Required Technical and Professional Expertise

• Minimum 6+ years of experience in IT industry sing data science skills

• High proficiency in Python programming, NLP techniques and experience using AI Framework (e.g. Hugging Face)

• Knowledge of SQL and NoSQL database management.

• Strong background in data science, statistics, mathematics, and analytical techniques.

• Expertise in machine learning and deep learning methodologies

• Working knowledge and application of foundation models in addition to Fine tuning of LLMs.

• Familiarity with big data technologies and data engineering practices.

• Experience with version control systems, particularly Git, and proficiency with GitHub for code collaboration and repository management.

• Are able to report and present results to a non-technical audience.

This role is ideal for a candidate who is not only technically proficient in data science and generative AI but also skilled in integrating their analytical work with web technologies, cloud computing, and automation. The ability to communicate effectively, manage projects efficiently, and consider the ethical implications of data usage is crucial for success in this role.

Preferred Technical and Professional Expertise

• Hands-on experience in data science for 4+/6+ (depending upon Band7/8) years with minimum of 3 years of experience in deep learning

• Web development skills, including JavaScript and React, for creating sophisticated, interactive data-driven interfaces.

• Experience with cloud computing platforms (AWS/Azure/Google/IBM) to leverage advanced cloud-based services and infrastructure.

• Excellent communication skills, crucial for effective teamwork, stakeholder engagement, and clear presentation of data insights and technical concepts.

• Project management experience with a focus on agile methodologies, ensuring efficient, adaptive, and collaborative project execution.

• Awareness and understanding of ethical considerations in data science and AI, ensuring responsible and fair use of data and AI technologies.

About Business UnitIBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

This job requires you to be fully COVID-19 vaccinated prior to your start date and proof of vaccination status will be required before your start date. During the Onboarding process you will be asked to confirm your vaccination status, in case you are unable to get vaccinated for any reason, you can let us know at that stage. Please let us know if you are unable to be vaccinated due to medical or religious reasons. IBM will consider such requests on a case by case basis subject to submission of required proof by the candidate before a stipulated date.

Your Life @ IBMIn 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 IBMIBM'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 50 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.

Location StatementWhen applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience.

For additional information about location requirements, please discuss with the recruiter following submission of your application.

Being You @ IBMIBM 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 is also committed to compliance with all fair employment practices regarding citizenship and immigration status.