BI Data Scientist

HFM is an

internationally acclaimed multi-asset broker, delivering

cutting-edge trading tools, platforms, and conditions to traders

worldwide. We are committed to innovation, transparency, and

excellence in the financial markets.

As we

continue to expand, we are seeking a driven and strategic BI Data Scientist to

join our team.

Responsibilities :

• Design, develop, and optimize analytical data models to support advanced analytics, reporting, and machine learning workflows.
• Utilize SQL and Python to clean, process, transform, and analyze large and complex datasets efficiently.
• Perform exploratory data analysis to identify trends, patterns, relationships,anomalies, and areas for further investigation.
• Develop and implement predictive and machine learning models for use cases such as forecasting, customer segmentation, behavior prediction, and other
• business applications.
• Perform data preprocessing and feature engineering to prepare high-quality datasets for machine learning and predictive modeling.
• Evaluate and validate machine learning and predictive models using appropriate statistical and performance metrics to ensure accuracy, reliability, and business
• relevance.
• Support the deployment and integration of data science models into BI and operational workflows, working closely with data engineering and other technical
• teams.
• Monitor model performance and contribute to the continuous improvement of predictive and analytical solutions.
• Develop advanced DAX measures for complex business calculations, KPIs, and analytical requirements in Power BI.
• Create interactive dashboards and visualizations in Power BI to communicate analytical findings, model outputs, KPIs, and business insights effectively.
• Develop, optimize, and maintain ETL/ELT processes where required to support analytics and machine learning workflows.
• Conduct unit testing and validation to ensure accuracy, consistency, performance,and reliability across analytical solutions.
• Ensure data integrity, consistency, scalability, and compliance with applicable data governance, security, and privacy standards.
• Work closely with data engineering teams to improve data architecture,availability, storage, and processing solutions required for advanced analytics.
• Collaborate with analysts and business stakeholders to identify opportunities,define business problems, and translate complex analytical findings into actionable strategies.
• Create and maintain technical documentation for data models, analytical methodologies, machine learning models, queries, and related processes.
• Support knowledge sharing across BI teams and provide guidance to business users on analytical tools, dashboards, and data-driven decision-making.

Requirements

• University degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

Minimum of 3 years of experience in data analytics, data science, BI, or related data-driven roles.

Previous experience in the FX industry is required.

Solid experience in data science projects involving customer analysis, behavior prediction, segmentation, forecasting, or similar predictive analytics applications.

Proficiency in SQL scripting, including the ability to develop and optimize complex queries for performance and scalability.

Strong proficiency in Python for data analysis, machine learning, statistical modeling, and workflow automation.

Practical knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning approaches.

Experience in data preprocessing, feature engineering, model evaluation, and validation.

Good understanding of data modeling concepts, analytical models, and data warehouse structures.

Proficiency in Power BI for developing interactive reports, dashboards, and data visualizations.

Advanced skills in DAX for developing business calculations, measures, and KPIs in Power BI.

Familiarity with version control systems for managing analytical code, scripts, models, and related development work.

Ability to translate business requirements and challenges into analytical and data science solutions.

Strong analytical, problem-solving, and critical-thinking abilities.

Strong communication and collaboration skills, with the ability to present complex analytical findings to technical and non-technical stakeholders.

Excellent command of the English language.

Nice

to have

:

• Hands-on experience developing and maintaining ETL/ELT pipelines for data integration and transformation.
• Knowledge of machine learning model deployment, monitoring, and integration into production or BI environments.
• Familiarity with statistical modeling, experimentation, or hypothesis testing.
• Knowledge of SQL Server Analysis Services (SSAS) for OLAP modeling.
• Exposure to Microsoft Fabric Cloud Services or Azure Data Services for cloud-based analytics and machine learning solutions.
• Experience working with large-scale or real-time datasets.
• Understanding of MLOps concepts, model lifecycle management, or CI/CD practices for data science solutions.

Resumes

must be submitted in English.

Applicants

must be eligible or have legal authorization

to work in t

he country where the position is

based.

Benefits

• Hybrid

Work Model (2 days working from home)

Comprehensive

Health plan starting from the first day of employment

Pension

plan

13th

salary payment

Additional

Paid Annual Leave (up to 30 days, based on years of

service)

Up

to 5 Carry over annual leave days from previous year to the next

one

Birthday

Leave

Udemy Business access

Monthly

Wolt Vouchers

Monthly

meals & treats at the office

Participation

in company's Group Discount Scheme

Gym

Membership

Referral

Bonus Program

Summer

Short Fridays (August)

Additional

Support

• Visa
• Sponsorship and Relocation Assistance (If applicable)

4. Closing

Statement

(Mandatory – Use

the approved wording below)

Sounds

like you? Let’s write the next chapter together!

All

Applications will be handled with the strictest

confidentiality.