Data Scientist

Synechron is seeking a highly skilled Data Scientist to join our team, working with a Big4 banking client in Sydney. The ideal candidate will have a strong background in predictive modeling, data analysis, and machine learning. You will leverage your analytical expertise to optimize pricing strategies and enhance portfolio management, while collaborating with cross-functional teams to drive actionable insights.

Key Responsibilities:

• Experiment, develop and implement predictive models to optimize pricing strategies and enhance portfolio management.
• Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
• Collaborate with cross-functional teams including marketing, finance, and operations to understand business requirements and deliver actionable insights.
• Utilize tools such as Tableau for data visualization and reporting to communicate findings to stakeholders.
• Employ Python or R for data analysis, model development, and implementation of machine learning algorithms.
• H20, and ML Ops workflows for building, training, and deploying machine learning models at scale.
• Conduct A/B testing and other experimental designs to validate model effectiveness and optimize strategies.
• Familiarity with SQL for data extraction and manipulation
• Stay current with industry trends and advancements in data science and machine learning.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 5+ years of experience in data science with a focus on predictive modelling for price optimization and portfolio management.
• Proficiency in data analysis and modelling using Python or R.
• Experience with data visualization tools, specifically Tableau.
• Familiarity with ML Ops concepts and practices.
• Strong analytical and problem-solving skills with the ability to interpret complex data.
• Excellent communication skills, with the ability to present findings to non-technical stakeholders.
• Experience in working with large datasets and understanding of data warehousing concepts is a plus.