Blog
Citi Handlowy

Citi Handlowy

Data Scientist

Offer parameters
hybrid work
mid
valid for 24 days
(until 14 Apr)
Warszawa, Masovian (Poland)
Romualda Traugutta 7/9

Technologies we use

Expected

SQL

Optional

Python
SAS

Your 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.

Our requirements

  • 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

This is how we organize our work

Team members

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.
Company Image

What we offer

  • 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

Benefits

  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of professional training & courses
  • life insurance
  • remote work opportunities
  • fruits
  • corporate products and services at discounted prices
  • retirement pension plan
  • preferential loans
  • coffee / tea
  • extra social benefits
  • employee referral program
  • charity initiatives
I apply to:
Citi Handlowy
Citi Handlowy
Warszawa, Romualda Traugutta 7/9, Masovian (Poland)
Pracodawca zbiera zgłoszenia przez swój system. Przejdziesz na jego formularz.

Klikając w przycisk „Aplikuj” potwierdzasz, że zapoznałeś(-łaś) się i akceptujesz Regulamin serwisu.

Grupa Pracuj S.A. jest administratorem Twoich danych m.in. dla celów świadczenia Ci usług w the:protocol oraz w celach analitycznych i marketingowych. Jeżeli masz pytania lub chcesz skorzystać ze swoich praw (dostępu do danych, ich sprostowania, usunięcia, ograniczenia przetwarzania, przeniesienia, sprzeciwu lub skargi do PUODO), skontaktuj się z nami: [email protected] lub z naszym inspektorem ochrony danych: [email protected]. Więcej informacji w Polityce Prywatności.


If you are applying to a role in Bank Handlowy in Poland, please click here to read additional data privacy policy terms that apply to how your personal information will be processed https://careers.citigroup.com/docs/policies/BankHandlowyPolandPrivacyNotice.pdf?ieNocache=483

Need more information?

You can ask the recruiter a casual question. You will receive a reply within three business days.

Check first if the answer to your question is not already in the body of the offer.
An employer may not respond to your question, particularly if there are less than 3 business days remaining before the offer ends.