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OPS Data Scientist
Santander Consumer Bank Nordics
- Frist snarest
- Ansettelsesform Fast
OPS Data Scientist
Join our Operational Analytics team as a Data Scientist, where you'll play a pivotal role in harnessing the power of data to uncover strategic insights and drive tangible business growth. As a key member of the Ops Data & Analytics team, consisting of three analysts and one data scientist, you'll be at the forefront of transforming raw data into intuitive insights.
This role primarily focuses on text analysis, speech-to-text analysis, and other predictive analysis, ensuring alignment with those who have a keen interest in these specific areas.
Utilize advanced statistical and machine learning techniques to analyze extensive datasets, extracting actionable insights. Engage with cross-functional teams to identify business challenges, fostering collaborative efforts to develop data-driven solutions that optimize customer processes and enhance operational efficiency.
You will be working in tools such as Azure, Microsoft Fabric, VS code and Power BI in cloud environment.
Main tasks and responsibilities:
- Apply advanced statistical and machine learning techniques, with a primary focus on text analysis, speech-to-text analysis, and other predictive analysis.
- Collaborate with cross-functional teams to identify business challenges, developing data-driven solutions to optimize customer processes and drive operational efficiency.
- Design and implement predictive models and algorithms for forecasting, anomaly detection, and decision-making.
- Develop and maintain data pipelines, ensuring data quality and integrity throughout the data lifecycle.
- Present findings and recommendations in a clear and concise manner to facilitate informed decision-making.
- Stay updated on the latest industry trends and emerging technologies in data science and analytics.
Skills & Requirements
- A bachelor's or master's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related discipline.
- Proficiency in Python with experience in data manipulation, analysis, and visualization.
- Strong understanding of statistical concepts and experience applying statistical modeling techniques.
- Experience with machine learning algorithms, data mining, and predictive modeling.
- Knowledge or expert in SQL for data extraction and manipulation.
- Excellent problem-solving abilities with attention to detail.
Experience:
- Experience as a data scientist, data engineer, data specialist or data analyst.
- Experience with deployment and monitor of models.
- Experience with cloud platforms, such as AWS or Azure, is a plus.
- Prior experience in customer analytics or process optimization is advantageous but not mandatory.
What we offer
- An opportunity to work in a large, high-performing international company, in a dynamic environment that is constantly changing.
- A corporate culture that is professional and dynamic, yet informal. Bureaucracy is kept to a minimum, as we expect our skilled employees to make long lasting and impactful decisions to shape our future.
- Highly competent, dedicated, and friendly co-workers with strong collaboration across the Nordics.
- Hybrid work environment (2-3 days remote work per week).
- Emphasis on work-life balance.
- Anticipated travel activity of 2-3 times per year, each trip lasting a few days.
- Opportunity to work with the latest technologies in machine learning and AI.
This position can be in based in either Hvidovre (DK) or Lysaker (NO).
Are you interested?
If you are intrigued by this position and possess the right profile and mindset, please submit your application and CV via the link. Applications will be reviewed continuously, and interviews will be planned as soon as a suitable candidate is identified.
If you have any questions about the position, you can contact Philip Aarup, Team Leader of OPS Data & Analytics.
Om arbeidsgiveren
We are a Nordic bank with more than 1,200 colleagues in Sweden, Norway, Denmark and Finland, and proud to be part of Banco Santander, one of the largest banks in the world with a solid history going back more than 160 years.
Our purpose is to help people and businesses prosper and we aim to be the best retail and commercial bank, earning the lasting loyalty of our people, customers, shareholders and communities - through simple, personal and fair banking.
In our organization we foster and value an engaged, challenging and passionate environment that provides opportunities for personal and professional growth. We operate in an ever changing environment, and believe the key to success is innovative involvement, a playful approach to active learning and continuous improvement in our daily work.
We are firmly committed to being a responsible bank in the way we operate, our culture, caring for our environment and giving back to society. Banco Santander is recognized as the most sustainable bank in the world following the publication of the Dow Jones Sustainability Index (DJSI) for 2019.
Read more about responsible banking on our global webpages.
Santander Consumer Bank is one of the largest Nordic banks providing loans and credits, credit cards, deposits and insurance to private customers.
To learn more about Santander in the Nordics, please visit our local webpages
https://www.santanderconsumer.no/
https://www.santanderconsumer.se/om-oss/
https://santanderconsumer.dk/om-os/
https://www.santanderconsumer.fi/
- Nettverk: LinkedIn
- Sektor: Privat
- Sted: Hvidovre, Denmark, 1325
- Hjemmekontor: Delvis hjemmekontor
- Bransje: Bank, finans og forsikring
- Stillingsfunksjon: Analyse
- Arbeidsspråk: Engelsk
Nøkkelord
Data, Data Scientist, Analytics
- FINN-kode 365597239
- Sist endret
Lignende annonser
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