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Relationship Manager at Industrial and Commercial Bank of China Limited Frankfurt Branch

berlin, Berlin, Germany - Full Time

Skills Needed
N/A

Experience Required
Minimum 5 year(s)

Relationship Manager at Industrial and Commercial Bank of China Limited Frankfurt Branch

Berlin, Berlin, Germany - Full Time

Skills Needed
N/A

Relationship Manager at Industrial and Commercial Bank of China Limited Frankfurt Branch

berlin, Berlin, Germany -

Full Time

Start Date

Immediate

Expiry Date

09 Dec, 26

Salary

44000.0

Posted On

03 Oct, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Industry

Banking & Credit

Description

We are looking for a future Data Scientist (m/f/d) in the Advanced Analytics area of the Analytics, Data & AI department.

As a Data Scientist (m/f/d), you will work at the interface between data, technology, and business. You will analyze complex datasets, develop models to predict behavior and outcomes, and support data-driven decisions in various business areas – from marketing and sales to operations.

Analysis of large, structured and unstructured datasets from various sources (e.g., CRM systems, web analytics, internal databases, external APIs)
Development and application of machine learning algorithms and statistical models for the prediction, classification, and optimization of business processes.
Creation of dashboards, reports, and interactive visualizations to support data-driven
Decisions – for departments and management
Use of modern tools and technologies: from Python (e.g., scikit-learn, pandas, XGBoost, TensorFlow/Keras, PyTorch) to R (e.g., tidyverse, shiny) to SQL and Power BI
Continuous development of your skills – through training, your own research, open-source contributions and

How To Apply:

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Responsibilities

We are looking for a future Data Scientist (m/f/d) in the Advanced Analytics area of the Analytics, Data & AI department.

Analysis of large, structured and unstructured datasets from various sources (e.g., CRM systems, web analytics, internal databases, external APIs)
Development and application of machine learning algorithms and statistical models for the prediction, classification, and optimization of business processes.
Creation of dashboards, reports, and interactive visualizations to support data-driven
Decisions – for departments and management
Use of modern tools and technologies: from Python (e.g., scikit-learn, pandas, XGBoost, TensorFlow/Keras, PyTorch) to R (e.g., tidyverse, shiny) to SQL and Power BI
Continuous development of your skills – through training, your own research, open-source contributions and

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