Company Description

ATCON GLOBAL is a Belgium-based IT consulting firm dedicated to empowering businesses with advanced technology solutions. We specialize in digital transformation, enterprise performance improvement, business intelligence, and data analytics. With a client-focused, results-driven ethos, our team delivers tailored IT solutions addressing business challenges. Alongside a strong local presence in Belgium, we leverage a global talent network from the UK and India to ensure exceptional service. Our mission is to deliver measurable results, not just hours, ensuring our clients’ objectives are met with excellence.

About the Project

The Data Scientist plays a central role in transforming data into smarter decisions, AI solutions, and exceptional customer experiences.

In this dynamic position, you’ll design and train ML models, uncover valuable insights, and drive innovation by exploring new technologies, data sources, and methodologies.

Working closely with product teams and stakeholders like marketing and operations, you’ll help shape data-driven products from concept to execution while elevating the bank’s analytical capabilities.

Experience, Required Skills & Competencies

• 5+ years of proven experience in the field of Data Science.

• Proficiency in languages like Python, R, SQL, and Java.

• Database Management: Experience with databases like MySQL, PostgreSQL.

• Big Data Technologies: Experience with platforms like Hadoop and Spark.

• Industry Knowledge: Understanding of banking operations, products, services, and regulations.

• Data Warehousing Solutions: Knowledge of tools like Wherescape, Snowflake, Redshift, or BigQuery.

Responsibilities

• Machine Learning & Innovation: Design and train ML models, uncover valuable insights, and drive innovation by exploring new technologies, data sources, and methodologies.

• Collaboration: Working closely with product teams and stakeholders like marketing and operations, you’ll help shape data-driven products from concept to execution while elevating the bank’s analytical capabilities.

• Statistical Analysis: Proficiency in statistical hypothesis testing, regression analysis, and time series forecasting.

• Data Wrangling: Skills in data cleaning, transformation, and ETL processes.

• Predictive Modeling: Ability to develop models for credit scoring, email routing, fraud detection, customer segmentation, and other banking-specific use cases.

• Quantitative Analysis: Handling, analyzing, and interpreting complex quantitative data.

• Data Visualization: Proficiency in Power BI.

• Risk Management: Knowledge of risk assessment and the ability to integrate risk management into data analyses.

• Business Intelligence: Ability to transform data insights into actionable business strategies.

• Communication: Ability to present findings in a clear and compelling manner to non-technical stakeholders.

• Teamwork: Collaborate effectively with different departments like IT, marketing, and finance.

• Problem-solving: Innovative thinking to approach complex data problems.

• Continuous Learning: The field of data science is rapidly evolving; a commitment to continuous learning is crucial.

• Ethical Judgement: Recognize the ethical considerations related to data privacy, fairness, and biases in modeling.

• Regulatory Compliance: Understanding of financial regulations like Basel III, GDPR, CCPA, and others that affect data use and analytics detecting financial fraud.

• Customer Analytics: Insights into customer behavior, segmentation, lifetime value, and churn prediction.

• Version Control: Familiarity with tools like Git for managing code and projects.