Become a Data Scientist!
Hands-on Training Program for Vodafone Employees
The role of Data Scientist has been called the “sexiest job of the 21st century” by the Harvard Business Review. This is your chance to have Vodafone invest in you and prepare you for the future, by developing your skills to become one!
We’re looking for people with a passion for Data Science or Machine Learning to join an intense 8-week training course in Budapest. This is a once in a lifetime opportunity to gain Vodafone’s sponsorship to learn from Silicon Valley trainers - whose mission is to grow the world’s Data Science talent.
This training is the first of its kind at Vodafone bringing unique advantages and opportunities to early adopters; enabling access to world-class knowledge in Data Science and Artificial Intelligence and how to apply it to real, business facing projects.
Are you up for the challenge? Are you motivated to drive the future of Big Data within Vodafone as a Digital Telco? Places are limited so act now to take advantage of this offer to secure a place in our global Data Science community.
Read on to find out more and to apply now!
Our Passion for Diversity
Network/Software Engineers, Business and Finance Analysts, Scientists, Everyone with a Passion to Learn
The course will run for 8-weeks in Budapest from Monday 30 April.
The majority of the time is spent pair programming. We try to pair participants more proficient in quantitative skills with participants more proficient in software development.
We use Agile processes including daily scrums and a variety of collaboration tools including Slack, Github and Trello. We also have a weekly retrospective and iteration planning.
We believe that hands-on work solving a specific business problem is the best way to acquire and retain machine learning and data science skills. Therefore, most of the program is spent learning and applying specific approaches to real business problems with the goal of delivering commercially valuable solutions for Vodafone.
Immersion in the most common tools including Tensorflow, Google Colaboratory, Scikit-Learn, Pandas, NumPy, Seaborn, Word2vec, fastText, Keras, XGBoost and Hyperopt as well as collaboration tools such as Slack, Github and Trello
Basic framing of problems to be solved through machine learning including selecting input features, avoiding bias and interpreting model feature importance
Exploratory data analysis including statistical summaries and visualizations with plotting libraries like Matplotlib and Seaborn.
Feature engineering from raw data using tools like Pandas, NumPy and other Python and Linux command-line libraries
Model training / selection process and hyper-parameter tuning
Visualizing of model results
Placing models into production
Who we’re looking for
You must currently be a Vodafone employee based in one of the following locations: Czech, Hungary, Portugal, Ireland, Greece, Romania, Netherlands, Turkey, Group (London)
We’re looking for individuals with the following attributes:
Intellectual: A deep interest in solving problems and puzzles, intellectual curiosity, and a voracious appetite to learn
Technical: Statistics, programming, social science, math, computer science, software development, physics, engineering or related background
Professional: Ambition to make a business impact and drive commercial results
Leadership style: Team spirit and collaboration, as well as willingness and ability to mentor
Mind-set: Analytical and creative, but also practical and focused on tangible outcomes
Suitable backgrounds include, but are not limited to:
Business and finance analysts
Scientists and/or physical science backgrounds
Network engineers that can code
Creative problem solving ability
Basic coding proficiency (particularly in Python)
Foundational understanding of machine learning theory and methods and a basic understanding of the concepts involved:
Dimensionality reduction and optimisation
Some exposure to coding and associated methodologies is critical to success!
We will also consider anyone who can demonstrate appropriate skills and aptitudes used outside of the workplace. For example:
A user of data and analytics programs like SAS or SPSS
Those who carry out modelling or use macros in Excel
Those with technical experience where coding or coding-like work is part of the skill set
You will gain
Eight weeks of intensive training and development
Hand-on experience working in a particular area of machine learning, to solve a specific business problem
Exposure to and experience of
A wide range of high-value machine learning solutions and agile software-development principles
Cutting edge deep learning and large-scale optimisation techniques to computer vision, natural language processing and time-series problems
The opportunity to become part of an international centre of expertise for data science and analysis
Since the program will be free to participants, you must commit to:
Being in the program full time for entire duration (this is a real program, with a heavy workload, homework, exams, quizzes, and grades)
Basing yourself in Budapest for the 8-week duration of the course
Mentoring other trainees for 6 months after program completion
Signing the High Spend Training Claw Back Policy (we will send a copy of this to you should you be accepted)
Serving as ambassadors for Big Data and machine learning and continuing to educate our organisation
During and after the program, complying with the Big Data code of ethics
After you submit the application, your first step is to complete one of the challenge problems. You don’t need previous machine learning experience or exposure to any of these challenge topics beforehand, but you will need to show aptitude for problem solving and rapidly acquiring and demonstrating new skills.
Once you have completed and shared your challenge, you will then need to book yourself into a 30-minute interview slot. We will notify you via e-mail regarding your acceptance. You will then need to coordinate travel living arrangements for the duration of the program according to your local policies.