senior data scientist at Santander

Wrocław, Lower Silesian Voivodeship, Poland

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Banking, FinanceIndustries

Requirements

At least 3 years of experience in analytical and modeling thinking (knowledge of banking products/services and AML is a plus)
Proficient in SQL and Python (as fluent as in Polish and English; knows SAS is not just an airline)
Tools/methods are means to an end; satisfaction from achieving goals over the path
Ability to select appropriate methods for problems (e.g., XGBoost, NN)
Comfortable with challenging data situations (e.g., lots of data, few targets)
Ability to present analysis/model results to business stakeholders simply and clearly (e.g., summarize with visuals)
Efficient time organization, successful and on-time project completion
Open to changes, eager for new challenges, and finishes started tasks
Easy relationship building and team collaboration (e.g., responds well in meetings)
Seeks efficient solutions (including out-of-the-box) and ensures high-quality work

Responsibilities

Data monetization: utilize data potential (using math, not magic) to generate revenue
Test new modeling methods where needed for better data utilization
Actively build data-driven culture: fact-based decisions respecting intuition
Actively contribute to development of solutions, tools, and self through collaboration with data enthusiasts
Understand business context of analyses (e.g., credit risk models: know PD, default)
Create use-cases, translate business language to technical for successful, monetary outcomes
Participate in end-to-end projects: data preparation, model building, stakeholder alignment, usage policy, business case calculation, deployment, and monitoring
Work in agile environment (e.g., sprint planning, retrospectives) and diverse bank projects

Skills

Key technologies and capabilities for this role

SQLData ScienceUnsupervised LearningModelingData MonetizationBusiness AnalyticsRisk ModelingAgileEnd-to-End Projects

Questions & Answers

Common questions about this position

What is the employment contract type for this position?

The position offers an employment contract (umowa o pracę) for a fixed term of 7 months with the possibility of extension.

Is this a remote or hybrid role, and where are the office locations?

This is a hybrid role requiring partial work in the office in Wrocław (Robotnicza), Poznań (Kolorowa), or Warsaw (office at Rondo ONZ).

What key skills are required for the Senior Data Scientist role?

Candidates need at least 3 years of analytical and modeling experience, proficiency in SQL and Python, ability to select appropriate modeling methods like xgboost or NN, and skills in presenting results to business stakeholders.

What is the company culture like in the Data Science team?

The team emphasizes building a data-driven culture based on facts while respecting intuition, active participation in solution development, agile work practices, and collaboration with like-minded data enthusiasts.

What makes a strong candidate for this Senior Data Scientist position?

Strong candidates have 3+ years in analytical modeling, fluency in SQL/Python, business context understanding (e.g., banking products, AML), effective communication of results, time management, teamwork, and openness to challenges.

Santander

Provides banking, investment, and insurance services

About Santander

Santander Bank provides a variety of financial services to individuals, small businesses, and large corporations in the United States. Its offerings include savings and checking accounts, loans, credit cards, and investment products. The bank also has specialized services through Santander Investment Services and insurance products via Santander Securities LLC. Santander stands out from its competitors by focusing on community growth, committing $13.6 billion to support initiatives like the 'Cultivate Small Business' program, which aids early-stage entrepreneurs, especially from underrepresented groups. The bank generates revenue through interest on loans, service fees, and commissions, while promoting responsible banking practices and financial education. Santander's goal is to empower individuals and businesses, enhance community prosperity, and provide comprehensive financial solutions.

Boston, MassachusettsHeadquarters

1902Year Founded

$75MTotal Funding

POST_IPO_DEBTCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Benefits

Health, dental, & vision

401k

Flexible PTO

Parental & sick leave

Discounts: technology, travel, auto, fitness, & tuition

Risks

ISO 20022 transition may challenge smaller business partners.

'Quishing' attacks pose a growing threat to consumer security.

Openbank faces competition in the U.S. high-yield savings market.

Differentiation

Santander's Openbank offers a 5.00% APY high-yield savings account nationwide.

The bank's Inclusive Communities Plan pledges $13.6 billion for community initiatives.

Santander's ISO 20022 adoption enhances operational efficiency and data management.

Upsides

Openbank's high-yield savings account attracts more U.S. customers.

Santander's renewable energy financing highlights commitment to sustainable investments.

Proactive cybersecurity measures enhance customer trust and protect digital assets.

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