XM

Global forex and CFD broker

Data Scientist

Data ScienceConfirmed live in the last 24 hours

Full-timeNo salary listedHybrid

About the Job

Requirements

A university degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field is required.
At least 3 years of experience in data science, machine learning, or advanced analytics is required.
Strong programming skills in Python and experience with Pandas, NumPy, and similar data analysis libraries are required.
Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly is required.
Strong knowledge of machine learning is required.
A solid understanding of statistics and data mining techniques is required.
Experience working with relational and non-relational databases is required.
Strong analytical thinking, problem-solving ability, and attention to detail are required.
Excellent communication skills and the ability to work collaboratively in a team environment are required.

Responsibilities

Design, develop, and review machine learning models and advanced analytics solutions.
Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets.
Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality.
Collaborate with cross-functional teams, including data engineers, software engineers, product owners, and business stakeholders.
Present insights, analysis results, and recommendations to technical and non-technical audiences.
Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics.
Contribute to the development of the department’s data science strategy and identify opportunities where data science can deliver business value.

Desired Qualifications

Knowledge of recommendation systems is considered a plus.

The Role:

We are looking for an experienced Data Scientist to join our Data Science department. In this role, you will work hands-on on advanced analytics and machine learning projects, leveraging large datasets to build impactful, production-ready solutions.

Ideal for someone who enjoys solving complex problems, building models end-to-end, and driving data-driven decision-making

The main responsibilities of the position include:

Design, develop, and review machine learning models and advanced analytics solutions
Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets
Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality
Collaborate with cross-functional teams including data engineers, software engineers, product owners, and business stakeholders
Present insights, analysis results, and recommendations to both technical and non-technical audiences
Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics
Contribute to the development of the department’s data science strategy and identify opportunities where data science can deliver business value

Main requirements:

University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field

At least 3 years of experience in data science, machine learning, or advanced analytics

Strong programming skills in Python and experience with Pandas, NumPy, and similar data analysis libraries

Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly

Strong knowledge and exposure to Machine Learning

Knowledge of Recommendation Systems will be considered a plus

Solid understanding of statistics and data mining techniques

Experience working with relational and non-relational databases

Strong analytical thinking, problem-solving ability, and attention to detail

Excellent communication skills and the ability to work collaboratively in a team environment

Benefit from:

Attractive remuneration package
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities

The Hiring Experience: What Awaits You

Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Bring It to Life – Role-Specific Take-Home Task
Final Connection – Final Interview

All applications will be treated with strict confidentiality!

By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

XM