Middle Data Scientist

We are looking for a Middle Data Scientist to join a customer-facing data team in the technology sector, supporting solutions related to financial risk prevention. This role combines data analysis, machine learning model development, client enablement and cross-functional collaboration with technical and business stakeholders.

WHAT YOU WILL DO

• Analyze client data to understand its structure, quality, consistency and relevance for model development.

• Clean, validate and preprocess data using scripting and programming approaches suitable for scalable data workflows.

• Build, tune and improve machine learning features, parameters and models through iterative analysis and testing.

• Communicate data science findings clearly to support project decisions and delivery planning.

• Collaborate with client stakeholders, including data scientists, engineers and risk professionals, to support solution implementation.

• Work with internal teams such as product, research and delivery to improve processes, tooling and best practices.

• Support client activation, maintenance, training and enablement across the solution lifecycle., Confidential mental health support through access to psychological support, content and live sessions.

• Continuous training and certification opportunities to support structured growth and long-term capability building.

• Flexibility whenever the role and project context allow it, supporting sustainable performance and daily balance.

• Childcare vouchers and practical support measures designed to help balance personal and professional life.

• Team moments, shared milestones and leadership presence when it matters most.

• Upskilling opportunities in quality management, information security, AI governance and cybersecurity best practices.

Academic background in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics or a related field.

• Professional experience in data science, machine learning and applied data analysis in a client-facing or delivery-oriented environment.

• Ability to work autonomously on data preparation, model improvement and technical problem-solving activities.

• Clear communication skills, with the ability to explain findings and technical constraints to project and business stakeholders.

• Collaborative, responsible and solution-oriented mindset, aligned with continuous improvement and quality delivery.

TECHNICAL SKILLS

• Machine learning model training, testing, validation and overfitting prevention.

• Data cleaning, validation, preprocessing and feature engineering.

• Python and Bash scripting.

• Java or Scala.

• Big Data technologies, including Spark, Hadoop or related ecosystems.

• Runtime optimization and resource monitoring at JVM and operating system level.

NICE TO HAVE

• Statistics or data visualization.

• Tree-based algorithms such as Random Forests, XGBoost or LightGBM.

• Deep learning algorithms.

Private health insurance from your first day, with no waiting periods and optional family extension.

At Hexa, we are all Builders. We work with honesty, mutual support and agility, contributing to projects, solutions and professional relationships with responsibility and care. Joining Hexa means becoming part of a collaborative environment where people are encouraged to learn, improve and build meaningful impact together.