IBM Data Scientist - Advanced Analytics in Milano, ItalyIntroduction
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to 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 resulting in groundbreaking 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.
Your Role and Responsibilities
As a Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for:
Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning techniques in your projects.Writing programs to cleanse and integrate data in an efficient and reusable manner.Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.Communicating with internal and external clients to understand and define business needs and appropriate modeling techniques to provide analytical solutions.Evaluating modeling results and communicating the results to technical and non-technical audiences.Required Technical and Professional Expertise
Strong fundamentals in Mathematics and Computer Science (algorithms).Proficiency in at least one of the statistical programming languages such as R, Python, Scala, or SAS, SPSS, Matlab.Significant experience with predictive/prescriptive modeling skills.Strong technical and analytical abilities, a knack for driving impact and growth, and experience with programming/scripting in a language such as Java or Python.Great problem-solving skills by looking at things differently, debugging, troubleshooting, and designing & implementing solutions to complex technical issues.Preferred Technical and Professional Expertise
Thrives on teamwork and has excellent verbal and written communication skills.Interest in, understanding of, or experience with Design Thinking and Agile Development Methodologies.Basic understanding of Cloud (AWS, Azure, etc).About Business Unit
IBM Consulting is IBM's consulting and global professional services business, with market-leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration.
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 live 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 every day, 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 ongoing 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.
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 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 Statement
IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.
Being You @ IBM
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 is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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