Data Scientist

Job description

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.