Data Scientist

About

Description

This role is individually accountable for turning data into actionable insights. The incumbent is relentlessly curious and uses advanced analytical skills, tools and platforms to present data as information and create analytical solutions that are interactive and easy to understand.

Responsibilities

• Data Analysis & Interpretation: Analyze large and complex data sets to identify trends, patterns, and insights that drive business decisions
• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders
• Predictive Modeling: Design, build, and validate predictive models to support the Next Best Action engine and goal recommender
• Continuously refine models based on feedback and new data to ensure accuracy and relevance
• Collaboration: Work closely with cross-functional teams, including product owners, data engineers, and business stakeholders, to understand data needs and deliver actionable insights
• Provide mentorship and guidance to junior analysts within the team
• Innovation & Improvement: Stay up-to-date with the latest trends and technologies in data analytics and financial services
• Identify opportunities for process improvements and automation within the analytics workflow
• Customer-Centric Approach: Leverage data to enhance customer experiences and engagement through personalized recommendations and insights
• Contribute to the development of our chatbot to ensure it provides valuable, data-driven financial advice to customers

Qualifications

• Education: Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
• Experience: 5+ years of experience in data analysis, preferably within the financial services industry
• Proven experience in building and deploying predictive models
• Strong knowledge of data analytics tools and programming languages such as SQL, Python, R, and relevant data visualization tools (e
• g
• , Tableau, Power BI)
• Skills: Excellent analytical and problem-solving skills with a keen eye for detail
• Strong communication skills, with the ability to present complex data insights to non-technical stakeholders
• Ability to work collaboratively in a fast-paced, dynamic environment
• Experience with big data technologies (e
• g
• , Hadoop, Spark) is a plus
• Personal Attributes: Self-motivated, proactive, and eager to learn and grow
• Customer-focused with a passion for improving financial wellness through data-driven insights
• Strong organizational skills and the ability to manage multiple projects simultaneously

Application instructions:

• press green button to apply