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.

Qualifications

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.

• Miniumum 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.