Data Scientist 

Job Description

What you’ll do :

As a Data Scientist, you’ll be responsible for contributing to the development and execution of innovative AI and data science solutions for the bank’s most pressing challenges. You’ll work closely with the Lead Data Scientist and a team of data scientists and engineers, providing technical expertise while collaborating with cross-functional teams and stakeholders to deliver high-impact results.

Your responsibilities will include :

– Supporting the strategic direction of the data science community of practice, staying informed in the field of applied AI and AI research.

– Communicating effectively with stakeholders, providing insights and recommendations based on your team’s projects and findings.

– Participating in end-to-end project delivery, from ideation to production deployment, ensuring alignment with business objectives.

– Assisting in the identification and implementation of cutting-edge technologies, tools, and techniques to deliver value through cost reduction, income generation, or improved customer experience.

– Collaborating with the Lead Data Scientist in recruitment efforts, helping to build and grow a world-class team of data scientists.

– Representing the bank and the team at internal and external events, contributing to collaboration and partnerships within the industry.

The skills you’ll need :

To excel in this role as a Senior Data Scientist, you’ll need a solid academic background in a STEM discipline such as Mathematics, Physics, Engineering, or Computer Science, with a MSc or PhD preferred. You’ll have considerable experience with statistical modeling and machine learning techniques, as well as some knowledge of financial services.

You’ll also demonstrate :

– The ability to use data to solve business problems from hypotheses through to resolution.

– Expertise in key data science technologies and techniques, such as Python, Git, AWS, AWS Sagemaker, PyTorch, TensorFlow, Jax, Numpy, Scikit-learn, Time-series forecasting, Classification, Regression, Large-language models, and Experiment Design.

– Experience using programming language and software engineering fundamentals

– Experience with Cloud applications and options.

– Experience in synthesizing, translating, and visualizing data and insights for key stakeholders.

– Experience of exploratory data analysis.

– Effective communication skills with the ability to proactively engage with a wide range of stakeholders.

– A track record of working well within data science teams, contributing to a culture of innovation and collaboration, and supporting the development of junior team members

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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