PBT Group, with in-depth knowledge of Business Intelligence solutions and experience that spans more than two decades in over 25 countries, PBT Group has engaged with many of the Top 100 companies, answering to diverse needs to give clients not only a competitive edge, but also a sustainable advantage. Worldwide expertise and local wisdom - that’s what mak...
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Are you an experienced and inquisitive individual with a passion for data? Join our team as a Data Scientist and be a key player in shaping our data-driven future.
Responsibilities:
Data Integrity: Leverage your expertise to process, cleanse, and ensure the integrity of data used for analysis.
Algorithm Development: Develop algorithms and create predictive models to enhance our product offerings.
Machine Learning Techniques: Utilise machine learning techniques to improve data quality and generate reports with actionable insights.
Collaboration: Collaborate with the team to present findings and recommendations effectively.
Qualifications and Experience:
Experience: 5+ years of working experience in Data Science.
Education: Degree in quantitative fields like Mathematics, Statistics, Operational Research, Economics, or equivalent industry training and experience.
Strategy Development: Experience in strategy development and implementation using advanced data analytics.
Outsourced Environment: Experience working in an outsourced environment and effectively implementing solutions using both internal and external resources.
Analytical Experience: At least 5 years of analytical experience on a consumer portfolio dataset (retail, banking, telecoms, etc.).
Programming Skills: Proficiency (intermediate or advanced level) in Python or equivalent analytical & statistical programming languages.
Statistical Concepts: Understanding of key statistical concepts used in model development, evaluation, and hypothesis testing.
Data Processing Tools: Exposure to data processing tools like Spark or Hadoop for working with large-scale datasets (Exposure to cloud platforms like AWS advantageous).
Machine Learning Knowledge: Outstanding knowledge of machine learning techniques and algorithms, including clustering methods, neural networks, and boosting algorithms.
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