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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.
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