Senior Data Scientist developing AI/ML based solutions for banking at RDC.AI. Collaborating with clients on credit-based decisions in the Business and Commercial lending space.
Responsibilities
Design, present & document AI-based initiatives to our clients, typically banking and risk executives.
Develop use cases for clients with clear objectives and success criteria, matching our AI platform capabilities and client needs.
Assist in developing data processing solutions and machine learning models to address the business objectives of our clients using RDC.AI platform.
Assist in developing AI/ML based solutions to be deployed on the RDC.AI platform for clients across use cases in Business and Commercial lending within North America.
Help mentor and train junior data scientists on RDC.AI methodologies, AI/ML best practices and credit risk modelling methodologies in the Business and Commercial lending space.
Requirements
Bachelor’s degree in in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree.
5+ years of data science experience, ideally in credit risk or financial services.
Experience developing and managing quantitative credit risk models including credit decisioning models.
Programming experience in Python for 3+ years.
Programming in SQL for 1+ years.
Knowledge of data discovery, statistics, and data-driven model discovery, development, and validation, and tracking.
Ability to learn and adapt to new or emerging modeling techniques (e.g., LLM, GenAI, LSTM, etc.)
Experience presenting to technical, and non-technical stakeholders, including senior leadership.
Excellent communication and client engagement skills.
Ability to travel within North America (estimated 25% travel).
Benefits
Competitive benefits package (80% of premiums paid by RDC.ai)
12 paid holidays
20 days PTO per year + 5 paid personal or sick days per year
Product & Data Manager role focusing on data reliability and product offerings for Eldora Group in Switzerland. Engage with various departments for operational excellence and quality assurance.
Senior Data Scientist at Eyecare Health transforming data into actionable insights and predictive models. Leading machine learning initiatives to optimize decision - making and improve health outcomes.
Data Scientist II at LexisNexis applying statistical analysis and building predictive models for fraud and credit risk. Collaborating with teams to enhance existing products and provide actionable insights.
Senior Lead Data Scientist managing a data science team focused on pricing models in Business Insurance. Driving success through scope definition, mentorship, and collaboration with various teams.
Head of Data Sources and Acquisition Strategy managing external data sourcing at Fitch Group. Overseeing partnerships and compliance, ensuring data quality and business alignment.
Data Scientist driving data - led decision - making in Zurich's Life products team. Collaborating with data, AI and business experts to enhance efficiency and strategic insights.
Data Scientist II enhancing supply planning performance at Seagate through AI/ML solutions. Collaborating across regions to translate business challenges into data science problems and deliver actionable insights.
Data Scientist developing analytical models to enhance security incident detection at Trust Control. Collaborating with security analysts to provide actionable insights from large data volumes.
Data Scientist leveraging machine learning and statistical analysis for business insights at Grainger. Driving value and growth through data - driven decisions and innovative solutions.
Entry - level data analyst supporting AI team in developing and evaluating AI products. Responsibilities include data exploration, performance monitoring, and cross - functional collaboration.