Data Scientist
As a data driven organization, Bank Handlowy seeks to leverage data insights, statistical findings and propensity models to both optimize business results and create a best in class customer experience. The analyst in this role will be part of a team that identifies business challenges and opportunity and builds data driven solutions to achieve the afore mentioned goals. Responsibilities range from strategically identifying these challenges and opportunities through documentation and validation of solutions.
Responsibilities:
- Gathers operational data from various cross functional stakeholders to examine past business performance.
- Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
- Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies.
- Exploratory data analysis, confirmatory data analysis and/or qualitative analysis.
- Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
- Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
- Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
- Solid programming skills in Python for data science with knowledge of relevant libraries e. g. , Pandas, Scikit-learn, Matplotlib, Xgboost
- Proficiency in SQL/SAS and experience with relational databases (necessary condition)
- Good understanding of statistics and modelling (e. g. , propensity models), knowledge and experience in Machine Learning methods
- Experience in development and implementation of machine learning and statistical models. Having a model put into production in professional setting would be a strong advantage.
- Experience in retail banking business analysis and knowledge of banking products/processes would be an asset.
- Bachelors/University degree or equivalent experience
Citi Handlowy offers:
- Job contract and social benefits (private medical care, fitness card, life insurance, pension programme, co-financing of cultural and entertainment events and more. Full list can be found here: www.karierawciti.pl under Benefits for you and Benefits for your loved ones sections)
- Possibility to gain globally appreciated work experience
- Friendly and supportive culture and team
- Flexible and partly-remote working conditions
This role is located at Citi Handlowy (Bank Handlowy w Warszawie SA), please read our privacy policy: BankHandlowyPolandPrivacyNotice
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Job Family Group:
Decision Management-------------------------------------------------
Job Family:
Specialized Analytics (Data Science/Computational Statistics)------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View the "EEO is the Law" poster. View the EEO is the Law Supplement.
View the EEO Policy Statement.
View the Pay Transparency Posting
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