Junior Data Scientist at N26

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

0.0

Posted On

30 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Python, Statistics, SQL, Data Analysis, Machine Learning, Predictive Modeling, Customer Analytics, Marketing Analytics, Data Visualization, Data Cleaning, Experiment Design, Problem Solving, Communication, Collaboration, Cloud Platforms, BI Tools

Industry

Financial Services

Description

About the opportunity As a Junior Data Scientist in the Marketing Data team, you will be a key contributor to our culture of data-driven decision-making and continuous experimentation. You will support the development of data-driven models and deliver critical insights that help us understand customer value, test hypotheses, optimize marketing investments, and guide our strategic decisions. This is an exciting opportunity to work on projects ranging from sophisticated predictive models, such as Customer Lifetime Value (CLV) and Marketing Mix Modeling (MMM), to direct analysis of marketing campaigns and customer behavior, gaining hands-on experience in a fast-paced business environment. In your next challenge, you will: Support the design, implementation, and monitoring of Customer Lifetime Value models to better inform our customer segmentation and personalization strategies. Assist in building and maintaining Marketing Mix Models to measure and guide the strategic allocation of our marketing budget. Actively partner with the marketing team to design, execute, and analyze experiments (e.g., A/B tests) to validate hypotheses and measure campaign impact. Conduct ad-hoc and exploratory data analysis (EDA) to uncover actionable customer insights, identify trends, and answer day-to-day business questions from marketing stakeholders. Collaborate with senior data scientists to translate business problems into statistical and machine learning models. Prepare, clean, and validate large datasets from multiple sources (CRM, marketing platforms, finance systems) to ensure a single source of truth for marketing analytics. Help create clear visualizations and dashboards to communicate findings and empower non-technical stakeholders to make data-informed decisions. Document models, assumptions, and processes for reproducibility and knowledge sharing. Stay up to date with best practices in predictive modeling, causal inference, and marketing analytics. Work closely with marketing, product, and engineering teams to align data science solutions with business objectives. What you need to be successful: Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or related field. Strong skills in Python (pandas, scikit-learn, statsmodels, matplotlib/seaborn). Good understanding of statistics (regression, probability, hypothesis testing). Experience working with SQL for data extraction and manipulation. Eagerness to learn advanced methods (Bayesian models, time-series forecasting, uplift modeling). Strong problem-solving mindset and a curiosity for finding truth in data. Ability to communicate results in a clear and structured way to non-technical stakeholders. Nice-to-have: Experience with experimental design and analysis (e.g., A/B testing). Familiarity with Customer Analytics concepts (cohort analysis, retention, churn). Exposure to Marketing Analytics (MMM, attribution models, campaign measurement). Academic background in STEM or Economics preferably with a Master Degree or PhD. Experience with cloud platforms like AWS and tools like SageMaker, S3, Redshift. Knowledge of BI tools like Metabase. Experience with Git and Jupyter Notebooks. What’s in it for you: Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀. Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members. Additional day of annual leave for each year of service. A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses. A relocation package with visa support for those who need it. Who we are N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use. We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities. Sounds good? Apply now for this position. Equal Opportunities: We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential. We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com. Visit our website to learn more about Diversity, Equity, & Inclusion at N26.

Responsibilities

As a Junior Data Scientist, you will support the development of data-driven models and deliver insights to optimize marketing investments. You will collaborate with the marketing team to analyze experiments and conduct exploratory data analysis.