Data Scientist, AVP

Overview

• Are you ready to embark on an exciting journey of discovery, insights and innovation in the data science space?
• You’ll be working at the intersection of analytics and engineering to uncover valuable insights hidden within our data
• With an abundance of data at your fingertips along with cutting-edge capabilities to test and learn, you can expect to develop your technical expertise and make a meaningful impact through your work
• If you have the desire and tenacity to embark on a steep learning curve in an exciting and rapidly evolving field, apply now
• We're offering this role at associate vice president level
  
  

What you'll do

As a Data Scientist, you’ll combine human insight and perspective with modern data science tools to gain an unparalleled understanding of our customers, and far more powerful predictive targeting and modelling.

Day to day, you’ll be:

• Working closely with your stakeholders to understand their needs, define pain points, and identify opportunities to solve them through advanced analytics
• Developing hypotheses and articulating what data needs to be collected, which analyses to run, and the approach that will deliver the most value
• Using predictive analytics and artificial intelligence (AI) to extract insights from big data, including machine learning (ML) models, natural language processing (NLP), and deep learning (DL)
• Building, training and monitoring ML models and writing programs that automate data collection, data processing, model building and model deployment
• Bringing solutions and opportunities to life through
• Clearly conveying the meaning of results, bringing them to life through impactful data visualisation and storytelling
• Providing actionable insights to decision-makers and stakeholders at every level of technical understanding
  
  

The skills you'll need

If you have an aptitude for advanced mathematics and statistics and you're curious about the evolving role of data in shaping the next generation of financial services and overall eight years of expereince, this could be the job for you.

You’ll demonstrate:

• Proficiency in Python and relevant libraries such as Pandas, NumPy, and Scikit-learn
• Experience of cloud applications such as AWS Sagemaker
• Experience in data science, analytics, and machine learning with strong understanding of statistical analysis, machine learning models and concepts, LLMs, and data management principles
• Proficiency in data visualisation tools