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
As a Data Scientist, you will deliver high quality and impactful business solutions, furthering the use of AI at enterprise-level for our clients. You will work together face to face with clients, supporting our go-to-market team in getting new projects and managing projects. The main responsibilities will be:

• Help our clients solve AI challenges (Predictive Analytics, Statistical Analysis, Machine Learning & Deep Learning) through active listening and bringing solutions to problems
• Lead analytics projects and manage client's expectations and deliver results
• Build/improve data-driven models using statistical and machine learning techniques
• Advice and guide our clients on how to implement AI at an enterprise level
• Prototype, put to production, integrate machine learning models in business processes and enable automated, intelligent, and data-driven decision making
• Communicate results and ideas to critical decision-makers using effective data visualization techniques
• Write production-level code and build scalable data science pipelines in multi-cloud environments (IBM, Azure, AWS, GCP) or on-prem

Required Technical and Professional Expertise

• Graduate degree in Computer Science, Mathematics/Statistics, Informatics, or another quantitative field.
• 2+ years of relative IT experience
• Strong analytical and problem-solving skills, proven by previous work and academic experience
• Ability to adapt to fast-paced and changing environments and contexts
• Experience in leading projects and small teams
• Experience in translating business requirements into a technical framework
• Ability to explain complex analysis to a non-technical audience with your storytelling and data visualization skills
• Practical and theoretic knowledge of Data Mining, Machine Learning and Artificial Intelligence
• Programming skills in Python, and/or R , Py Spark Dataframe API and SQL
• Experience in big data analytics over big data and/or cloud technologies
• Experience in distributed computing frameworks like Hadoop & Spark
• Knowledge of working in Dev Ops environment using IDE, Git & knowledge on branching strategy and the usage of CI & CD pipelines
• Languages required: Greek, English

Preferred Technical and Professional Expertise
NA
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. We believe in the power of technology responsibly used to help people, partners and the planet.

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 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 @ 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.