Middle Data Scientist

Hexa Consulting; Castelo Branco; Presencial; EUR 42 000 - 56 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Mental health support

Training opportunities

Flexible work

Childcare vouchers

Team events

AI governance training

Resumo da oferta

A Hexa Consulting está à procura de um Data Scientist Intermediário para se juntar à equipa de dados orientada a clientes, no setor tecnológico, apoiando soluções de prevenção de risco financeiro.

O foco é analisar dados de clientes, desenvolver modelos de ML, melhorar features e apresentar resultados de forma clara a stakeholders. Envolve colaboração multidisciplinar e formação contínua.

Oferta inclui formação, apoio à carreira e equilíbrio entre vida pessoal e profissional.

Qualificações

• Experiência profissional em ciência de dados, ML e análise de dados aplicada em ambiente de entrega a clientes.
• Capacidade de trabalhar de forma autónoma em preparação de dados e melhoria de modelos.
• Habilidades de comunicação para explicar resultados e restrições técnicas a stakeholders do projeto.

Responsabilidades

• Analisar dados de clientes para entender estrutura, qualidade e relevância para modelos.
• Limpar, validar e pré-processar dados para fluxos de trabalho escaláveis.
• Construir, ajustar e melhorar features e modelos de ML.
• Comunicar descobertas de data science para apoiar decisões de projeto.
• Colaborar com stakeholders, engenheiros e especialistas em risco para implementação da solução.
• Trabalhar com equipas internas para melhorar processos, ferramentas e práticas.
• Dar suporte à ativação, manutenção, treino e enablement ao longo do ciclo de vida da solução.

Conhecimentos

ML model training & validation

Data cleaning & preprocessing

Python/Bash scripting

Java/Scala

Big Data ecosystems

Performance monitoring

Formação académica

Bacharelado/Mestrado em CS/EE/Estatística/Matemática/Afins

Ferramentas

Spark

Hadoop

Descrição da oferta de emprego

Descrição do cargo

ABOUT THE OPPORTUNITY

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.

WHAT WE ARE LOOKING FOR

• 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.

WHAT WE OFFER

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

EQUAL OPPORTUNITY

Hexa is committed to equal opportunity and inclusive recruitment practices, aligned with the principles of the Portuguese Diversity Charter. We value people for their competencies, experience, potential and contribution, regardless of personal background or individual characteristics.

HEXA LIFE

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.