Data Scientist

Data Scientist

Responsibilities include, but are not limited to:

• Interpret business needs and requirements and independently perform analysis and/or build reports and dashboards to meet requirements.
• Translate analysis findings and technical topics, visualize data to explain results to a non-technical business audience and senior management.
• Identify new data capabilities to enable strategic objectives, partner with data enablement team to build solutions.
• Interact independently with business partners on data needs and respond to data requests.
• Perform challenging data queries, reconcile data, analyze results, and form conclusions for senior management.
• Drive a strong data-driven culture within the company by mentoring data analysts and increasing data capabilities in other internal functions.

Required Skills:

• Hands-on experience in data modelling, data engineering and data analysis tools such as BI tools, Power BI, SQL, Python (pandas, numpy).
• Working knowledge in developing reports and dashboards in Power BI or Tableau.
• Strong communication, organizational and interpersonal skills, as well as the ability to prioritize and execute multiple objectives.
• Ability to identify key insights and present results to a business audience.
• Preferred experience in mapping techniques, such as calculating distances and routes, as well as ability to build custom market and demographic maps.
• Awareness of latest trends in data analytics.
• Knowledge and experience in the banking industry and banking systems.
• Advanced knowledge of data structures and the ability to visualize data effectively to communicate to a business audience.
• The Data Scientist will have strong collaboration and communication skills to effectively partner with other data teams and business partners.

Required Experience:

• Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences.
• Minimum of 3 years working in a data analytics role with hands-on experience in wrangling large data sets, conducting data analysis and developing insights from data.
• Experience working independently with business partners and diverse corporate functions.

Preferred Experience:

• Master's degree in a quantitative discipline.
• Financial Services experience and knowledge of Retail/Commercial Banking industry, products, and data highly desired.