EY Machine Learning Engineer in Poland
Machine Learning Engineer
Requisition # POL000IB
Post Date Mar 07, 2018
Machine Learning Engineer
EY GDS Advisory, Machine Learning Engineer
EY Global Delivery Services means 26,000 specialists providing globally IT, HR, finance, project management and strategic business services to EY member firms.
In addition we deliver support and solutions to external clients from all over the world.
Right now, we are looking for a Machine Learning Engineer to join our EY GDS Advisory team focused on providing cutting – edge IT solutions dedicated to the biggest market players in EMEA region.
Data Science and Machine Learning is becoming one of the most important and popular field across multiple industries and business lines worldwide. We’ve decided to take part in this exciting mission and build innovative solutions for our global clients. Join us and become one of the co-creators making all this happen and work.
This is an excellent time to gain unique experience in a brand-new Data & Analytics team. If you are an experienced specialist with an eye for detail, we have a role for you. You will have the opportunity to develop and test analytical models from scratch. Adding to that, you will have an access to all the other career opportunities at EY GDS.
Your key responsibilities
As a member of our team, you will manage client’s expectations and work with team in developing the analytical solution. You will be involved in extracting, collating, performing data integrity checks, manipulating and analyzing data, developing analytical strategies for businesses using model results of predictive modelling, time series forecasting, clustering and segmentation of customers. You will also have a chance of documenting and presenting work to the client, proactively recommending and influencing changes in business decision-making, building a quality culture. You will also foster teamwork and lead by example as well as train and mentor your team members.
Skills and attributes for success
This a role for you if you are a very strong statistical modeler with expertise in building statistical models from scratch, expertise in R, Python, SAS, SPSS, comfortable working with large data set and transferring knowledge.
To qualify for the role you must have
A degree in computer science engineering or an advanced degree in statistics, economics and have a quantitative background
3+ years of experience in a similar role
Proficiency in Summarizing, Explaining and Interpreting Data, Experimental Design, Hypothesis Testing, Estimation, Multivariate Linear and Nonlinear Models, Binary Choice Models, Stationary and Nonstationary Time Series Models, Panel Data Models
Advanced level programming ability using R, Python, SAS or SPSS paired with the ability to carry out analysis of data and basic visualizations
Demonstrated ability & experience in project management and client relationship management for at least 3 years
A combination of problem solving skills, analytical skills and sound knowledge of statistical/machine learning techniques
Familiarity with SAS Enterprise Miner, SAS CI, Model Manager, Scoring Accelerator, and Forecast Server will be considered an added advantage
Knowledge of MATLAB would be an added skill
Hands-on experience in handling large datasets and should be familiar with models using—linear regression, logistic regression, ANOVA/ANCOVA, optimization techniques, time series modelling, segmentation, decision tree, clustering and simulation based analysis.
Very good English verbal and written communication
Good sense of humour
Ideally, you also have
Exposure to domains across Automotive, Life Science or Consumer Product & Retail
Strong hold in project delivery and team management
Good command of German
Good oral and written communication in German
What working at EY GDS offers
What we look for
We love working with people who are passionate about their job. If you: think that you’re a high-flyer always ready to gain new skills and face professional challenges in analytical way; appreciate cooperation within a fantastic team of experts with a great sense of humour, it is a role for you.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
Make your mark. Apply now.