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
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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
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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 with experience of atleast seven years as a Data scientist, 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
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