Senior AI Data Scientist

What You’ll Do:

Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions

Collect, analyse and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise.  Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities. 
Lead the development or projects with multiple deliverables, leveraging business and technical expertise.  

Work on high-complexity tasks in problems often within multiple business or analytical domains,  collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions 

Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users

Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work

Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy

Consistently delivers moderately complex to complex projects on time and against key metrics, with quality and speed, understanding how to navigate or escalate obstacles or uncertainty that may arise

Drive excellent execution Uses experience and knowledge to find ways to complete work efficiently, using discretion to make suggestions on work improvement opportunities

Have a sense of urgency, agility and grit

Organizes own work independently, ensuring continuous alignments with the leader's expectations and aims to deliver winning results

What experience you need

BS degree in a STEM major or equivalent discipline

5-7 years of experience in a related analytical role

Proven track record of designing and developing predictive models in real-world applications

Experience with model performance evaluation and predictive model optimization for accuracy and efficiency

Cloud certification strongly preferred

Additional role-based certifications may be required depending upon region/BU requirements

Applies a new perspective on existing solutions to solve complex problems

Makes decisions within guidelines and policies that impact a range of customer, operational, process, or project activities

Develops work plans for short-term assignments of moderate or high complexity

Solid experience in data analysis, machine learning, and AI development

Hands-on experience with cloud-based AI platforms and tools

Requires in-depth knowledge and experience needed to operate independently with limited guidance and oversight

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What could set you apart

Passion for data science, data mining, machine learning and experience with big data architectures and methods

A Master's degree in a quantitative field (Statistics, Mathematics, Economics)

Experience with specific AI techniques, such as neural networks or natural language processing

Knowledge of the financial services industry

Contributions to open-source AI projects

Experience with data visualization tools

Strong analytical and problem-solving skills

Ability to work independently and as part of a team

Good communication and presentation and visualisation skills