2021 - Data Scientist - WR


Job Description

Who we are
As a global consulting partnership in more than 40 countries, our people make us who we are. We’re individuals with different passions and strengths who take as much joy in the work we do as from those we work with. Over the years we’ve fostered a culture in which we are united by shared values — passion, solidarity, generosity, curiosity, and boldness — and these come alive in the work we do and how we do it. Together, we know our people are our difference — for our clients, our colleagues, and our communities. That’s why we take pride in being individual and inclusive and create a place where everyone can bring their full self to work.

What can you expect

  • Discover. Collaborating with our clients across a range of industries and service practices, our people are always learning. At Kearney, you will broaden your knowledge and experience across a breadth of areas,
  • Grow. At Kearney, you work alongside colleagues who help you be the best you can be. Our people are our business, and we provide them with the resources needed to grow and exceed expectations, no matter where their careers take them.
  • You can be yourself. At Kearney, we give you the freedom to contribute creatively while you also pursue your dreams. We want you to bring your whole self to work and to find joy in what you do. That’s why we support our people when they want to let their uniqueness show and offer personalized opportunities.

What we offer

  • Fast career progression
  • Attractive salary program
  • Many opportunities for skills development (access to platforms like Udemy, annual budget for trainings and certifications, varied project assignments with both local and international opportunities)
  • Competitive benefits package (life insurance, private healthcare, pension plan and Multisport program)
  • Environment of ambitious individuals focused on creating best value for our clients

Who we seek
For the growing DCoE (Digital Centre of Excellence) Warsaw Team we are looking for analytics specialists with the problem-solving approach, experience in Python/R and statistical modelling who are interested to further develop their capabilities in data analytics. Our team gathers experts from Data Science and Machine Learning, Business Intelligence solutions, IT Architecture and software development. Typical project engagements for Data Scientist role include data manipulation and transformations, creating and evaluating data science models, preparing PoC solutions for clients and showing
how they can create value from data, presenting generated insights to non-technical project team members or directly to the client.

What you must have

  • Minimum 1-4 year of data analytics experience (depending on the level – we are looking for both junior and senior specialists)
  • Bachelor’s Degree/Master’s Degree in Computer Science/Data Analytics/Big Data/other IT-related field
  • Experience in Python/R and SQL
  • Specific skills and experience related to at least one of the following:
    • Machine learning (creating, testing and deploying solutions related to supervised/unsupervised learning) and statistical modelling
    • Data engineering (data manipulation, feature engineering)
    • NLP (e.g. sentiment analysis, topic modelling)
    • Data visualization (e.g. Power BI)
    • Geo-analytics
    • Web scraping
    • Mathematical optimization techniques
  • Strong critical thinking and analytical capabilities
  • Readiness to share your ideas and opinions as soon as you join a team
  • Ability to operate in uncertainty and learn quickly,
  • Ability to work under pressure of time
  • Communication skills – the important part of the job is communication with internal stakeholders
  • Fluent English, other languages will be an advantage

Nice to have

  • Working knowledge of one of the cloud technologies (Azure/GCP/AWS)
  • Hands-on experience with big data concepts and solutions (e.g. Spark, Hadoop, Hive, Cassandra, Kafka)
  • Other programming languages (e.g. JavaScript, C#)

Language Requirements

Polish, English