Data Scientist

About our client: Our client is an instantly recognisable household name with the Financial Services industry. They are seeking a high calibre Data Scientist within their growing and impressive Data Science team.  In recent years they have led the way in the creation of wealth management products  and services for their customers. Due to this expansion in their offering and associated customer acquisition, they are seeking a Data Science Manager in order to provide increased visibility to the firm through insightful analytics based activity. The Role:

Proactively enable Data Science (DS) and Artificial Intelligence (AI) initiatives

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies

Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Develop custom data models and algorithms to apply to data sets.

Develop strong business relationships and providing strategic advice

Use predictive modelling to increase and optimize customer experience

The Successful candidate:

Must have 2+ years of experience in data science, applied statistics, machine learning or artificial intelligence (AI)

An academic background in statistics, mathematics, computer science, actuarial studies or similar is required

Experience in advanced analytics, Data Science or AI solutions is highly valued.

It will be advantageous to have worked with Databricks

A high level of proficiency in Python and SQL is required

Mastery of calling APIs, ingesting data, transforming data, performing data analysis,

Demonstrated clear and thorough logical and analytical thinking, as well as problem-solving skills

What’s on offer?

Highly competitive salary - $165k package plus 10% bonus

Flexible hybrid working arrangements

Ability to grow in the role and develop your career in data science

The use and application of pioneering technologies and methodologies

Progressive role in one of Australia’s leading financial services institutions