Thanks to our innovative Technology services and solutions, we proudly lead our clients into the future. As part of our Technology Consulting, we offer technology implementation proficiency and advice to world-leading clients.
We are expanding our team and invite you to apply for the position of Data Scientist within our Technology Consulting team. This is an exceptional opportunity to contribute to a project focused on implementing Financial Fraud Detection Software for our esteemed clients.
You will engage in activating, maintaining, and providing support to our project stakeholders, developing models and rules, as well as training and enabling teams. Moreover, you'll collaborate with various client’s departments such as Research, Product, and Marketing, embodying a team spirit that extends across the globe, all to ensure the delivery of top-tier risk prevention solutions. Your essential functions:
- Understanding the provided data
- Cleaning that data and validating that it is correct
- Preprocessing the data, usually by using a mixture of shell scripts and a programming language such as Python, Java, Scala, etc.
- Iteratively computing features and tuning parameters to improve the quality of the model
- Communicating your findings to the project manager and assisting him/her in decision making on the Data Science part of the project
- Work together with key stakeholders (data scientists, engineers, risk managers)
- Work with other parts of the client’s organization (Product, Research, etc.) to improve processes, best practices, and tooling.
To qualify for the role you must have
- MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics or related field.
- Proficient in Machine Learning (training and testing, avoiding overfit, etc.). (4 + years of experience )
- Knowledge of Big Data technologies such as Spark, Hadoop and related.
- Proficiency in bash, Python and either Java or Scala.
- Knowledge of resource monitoring and runtime optimization (both at JVM and OS level).
- Knowledge of statistics or data visualization is a plus.
- Knowledge of tree-based algorithms (Random Forests, XGBoost, LGBM) is a plus.
- Knowledge of Deep Learning algorithms is a plus.
- Ability to communicate findings in a clear way.
What we look for
What's most important is that you're dedicated to working with your colleagues as part of a high-performing team. You'll need to demonstrate enthusiasm, high motivation and passion to develop fast in a multinational working environment. You'll need to thrive in picking up new skills and talents as you go, so natural curiosity, a lot of questions and the confidence to speak up when you see something that could be improved are essential. If you've got the right combination of technical knowledge and communication skills, this role is for you.
What we offer
- Vacation daysfrom 21 to 30 days
- Different bonuses/awards (annual performance bonus, ad hoc bonus, referral bonus, marriage/childbirth award, NY gift, etc.)
- Hybrid working model(The plan we currently follow: 2 weeks from home, 1 week from office)
- Private health insurance or a private pension (Generali)
- Personal development plan and allocated time for self-development
- Paid certification, training, and free access to Udemy, Coursera, Skillsoft, etc.
- EY Badgescovers different programs, training, and platforms with useful materials and resources. You will have the possibility to learn through various channels, using different methods to be prepared for the next steps in your career development
- EY MastersOur free EY Masters program offers you the opportunity to develop both the tech skillset and business mindset needed to deliver exceptional client service and thrive in tomorrow's workplace. Built on our EY Badges platform, all our degrees are awarded by Hult International Business School