Data Scientist

Key Skills

Java Programming, Oracle, Python Programming, Database, SQL, JavaServer Faces, PowerBI, Big Data Technology, Apache Hadoop, Machine learning techniques, NoSQL, Kibana, R Programming, PySpark

Job Description

Our world has never been more alive with opportunities and, at Kyndryl, we’re ready to seize them. We design, build, manage and modernize the mission-critical technology systems that the world depends on every day. Kyndryl is at the heart of progress — dedicated to helping companies and people grow strong. Our people are actively discovering, co-creating, and strengthening. We push ourselves and each other to seek better, to go further, and we carry this energy to our customers. At Kyndryl, we want you to keep growing, and we’ll provide plenty of opportunities to make that happen.

Please be aware that we have the Kyndryl candidate zone hosted by IBM for a certain period. If you have applied for an IBM role previously, you will be able to log into the candidate zone using your previous IBM log in details. When in the candidate zone, you will be able to see your previous applications for both IBM and Kyndryl.

For further information on privacy, please visit www.kyndryl.com/privacy.

Your Role and Responsibilities

We are a young, flexible and a fast-growing team of data scientists in Kyndryl Client Centre, Brno. Our work is to support internal and external clients who we provide with deep insights into their business data, help them enhance their performance in various areas and make the best data-driven business decisions.
Currently, we would like to welcome among us new experienced data scientist, as our workload increases, while at the same time we offer more sophisticated solutions to our clients.

Your tasks

• From all incoming structured and unstructured data derive business insights through expert mathematical, analytical and computational techniques in order to discover the insight that empowers data-driven decision making
• Collaborate with experts in a business area, getting an understanding of the underlying business process, strategy and execution
• Build predictive models, machine learning algorithms, statistical analysis, define output of use cases for end user consumption to perform optimization analytics
• Create visual presentations of analytic results and translate quantitative insights to a non-technical audience; communicate conclusions and recommendations across an organization’s leadership structure

As an Kyndryl employee, you will be entitled to the following benefits:

• 5 weeks of paid vacation
• Elaborate education program for each employee - training during the work career, courses are lead by professional lectors; e-learning education; flexible education plan for each job position
• Strong career opportunities
• Above standard Medical Care
• Subsidized price of Multisport card
• Discounts in Sports, Culture, Healthcare, Childcare, Finance, Electronics
• Preferential mobile tarrifs
• Global Travel and Group Life Insurance
• Contribution to the Pension fund
• Employee Assistance Program (24/7 helpline)
• Wellbeing program
• Parental bonding program (28 days of paid leave to spend with newborn)

You will have the opportunity to:

• Become part of our diverse and multinational community and collaborate within global and local teams
• Gain knowledge and develop skills through our world-class trainings
• Benefit from mentoring and coaching
• Balance your work with your life and enjoy a flexible working environment
• Please, take in consideration, that should your application be successful, our recruiters will contact you.

Required Technical and Professional Expertise

Education:

• a degree in Computer Science, related technical field or equivalent practical experience

Experience and Knowledge:

• deep knowledge of programming languages and analytics tools (SQL, R, Python), data reporting and visualization (Kibana, PowerBI), relational databases (SQL, Server, Oracle), NoSQL databases (Elasticsearch), big data technologies (Spark, Hadoop), solid foundations in statistics, machine learning, natural language processing methods

Personality and Working Practice:

• excellent communication, presentation and team skills, high self-motivation, innovative, strong analytical skills as well as entrepreneurial thinking and acting, independent, structured and goal-oriented.

Languages:

• good language skills in English

Preferred Technical and Professional Experience

Required Education

• Bachelor's Degree

Preferred Education

• Bachelor's Degree

Being You @ Kyndryl

Kyndryl 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, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Other things to know

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

Primary Job Category

• Data Science

Role (Job Role)

• Data Scientist

Employment Type

• Full-Time

Contract Type

• Regular

Position Type

• Professional

Travel Required

• No Travel

Company

• (Y018) Kyndryl Client Center, s.r.o.

Is this role a commissionable / sales incentive based position

• No