Overview

Why Kyndryl
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

Company:

Kyndryl

Qualifications:

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.

Language requirements:

Languages: good language skills in English

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