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EY Data Scientist Hybrid 
Cyprus, Nicosia 
224706860

17.09.2024

Your Key Responsibilities

  • Design and develop AI models as well as formulating associated algorithms and rules.

  • Obtain, analyse and understand AI models training data.

  • Clean data and validate its completeness and correctness.

  • Preprocess data using programming languages such as Python, Java, Scala, etc.

  • Compute features and tune parameters to improve the quality of the model in an iterative manner.

  • Evaluate alternative solutions options and present recommendations to the project stakeholders.

  • Closely coordinate and communicate with project manager advising them on matters relating to the delivery of the data science.

  • Work with a broad spectrum of client business and technical stakeholders.

  • Train & enable clients on the use of the delivered AI solutions.

  • Contribute to the practice development of the organization.

To qualify for the role, you should have

  • Between 1 to 7 relevant years of experience as a Data Scientist.

  • MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics or related field.

  • Proficient in Machine Learning (training and testing, avoiding overfit, feature engineering etc.).

  • Knowledge of Big Data technologies such as Spark, Hadoop and related.

  • Proficiency in bash, Python and either Java or Scala.

  • 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.

  • Analytical mindset: critically evaluate the information gathered from multiple sources.

  • Excellent communication skills for both technical and non-technical audience.

  • Customer-facing attitude

Ideally you should also have

  • Experience within the financial services sector

  • Experience working within a startup culture

EY offers an attractive remuneration package for rewarding both personal and team performance. We are committed to be an inclusive employer and are happy to consider flexible working arrangements. In addition, but not limited to our benefits include:

  • 13th salary and yearly bonus

  • Provident Fund

  • Private Medical and Life Insurance

  • Flexible working arrangements (hybrid work and flexible work schedule)

  • Friday afternoon off

  • EY Tech MBA and EY MSc in Business Analytics

  • EY Badges - digital learning certificates

  • Mobility programs (if interested to work abroad)

  • Paid Sick Leave

  • Paid Paternity Leave

  • Yearly wellbeing days off

  • Maternity, Wedding and New Baby Gifts

  • EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.