Junior Data Scientist

1w1 week ago

Nordea

Oslo, NO · Full-time · NOK 550,000 – NOK 750,000

About this role

Are you passionate about finding patterns and insights in data? At Nordea, turn complex datasets into strategic decisions that shape customers' digital journey. This Junior Data Scientist role offers growth in an ambitious environment, working closely with business and technology.

Build seamless customer journeys across channels by connecting data sources from various platforms and applications. Deliver the right message in the right channel at the right time based on data. Contribute to intelligent automation through model-based solutions and advanced AI models predicting customer needs and behavior.

Join the Data, Digital Sales & Engagement (DDSE) team, a multidisciplinary group of specialists in digital marketing, content production, web analysis, and Data Science. Engage new and existing personal customers in digital channels to drive sales through online banking, mobile banking, and Nordea.no. Provide personalized follow-up and advice via digital platforms.

Influence how the bank operates today and in the future. Value diverse perspectives and backgrounds with opportunities to collaborate, grow, and make your mark on larger initiatives. Thrive as a curious, driven professional comfortable working independently and in a tight-knit team.

Requirements

Some experience as Data Scientist ready to grow and take responsibility
Curious and driven mindset
Comfortable working independently and as part of a small, tight-knit team
Familiarity with Python and SQL
Experience with data analysis across sources and channels
Knowledge of building models for customer behavior prediction
Ability to simplify processes and identify new data sources

Responsibilities

Actively contribute to Digital Sales team to develop and improve data usage in marketing campaigns, expose new data points and sources, and build and document data foundation for marketing automation tool
Set up campaigns, follow up on effects, and evaluate results
Analyze data from various sources and provide recommendations
Assess quality of existing data sources and contribute to continuous improvement
Participate in discussions on business requirements, data quality, and methods for data processing and structuring
Support and collaborate with data-savvy end-users
Work with tools including Snowflake, Cloudera HUE Hive/Impala, Python, SQL, Bitbucket, Power BI, and Streamlit