Data Scientist Mid

AdvanceWorks; Lisboa; Hybrid; EUR 45,000 - 75,000; Full time

Benefits offered by this job

Mentorship program

Training & certifications

Flexible work culture

Rubber Duck debugging buddy

Job summary

AdvanceWorks is seeking a Mid Data Scientist to grow in applied AI, taking solutions from business problem to deployment with senior support. You will shape use cases across ML, GenAI, RAG and intelligent agents, deciding on models, LLMs and prompt engineering.

Day to day you will build data pipelines and models in PySpark, develop full-stack agents, and help evaluate, monitor and improve model outputs. Hybrid work with a focus on real-world customer impact.

Qualifications

• 3 years of experience in Machine Learning and/or Generative AI.
• Solid foundations in modeling, optimization and LLMs.
• Exposure to RAG and embeddings.
• Exposure to model evaluation or monitoring.
• Programming experience in Python and PySpark.
• Exposure to agentic frameworks such as Microsoft Agent Framework, LangGraph or LangChain.
• Experience with Microsoft Fabric and Azure is a plus.
• Experience with text and conversation analysis is a plus.
• Familiarity with AI-assisted development tools is a plus.
• Availability to work in a hybrid model, with 3 days per week at the office in Picoas, Lisbon.

Responsibilities

• Participate in the design and development of ML, GenAI, RAG and agent-based use cases.
• Translate business needs into concrete analytical solutions.
• Contribute to the technical approach, including model selection and prompt engineering.
• Develop data pipelines and models using Python and PySpark.
• Build ML models for churn, next best action, upselling and fault detection.
• Create LLM-based assistants and GenAI solutions for business use.
• Develop RAG solutions using embeddings and Azure AI Search.
• Build intelligent agents and voicebots integrating multiple data sources.
• Develop full-stack agents covering frontend and backend.
• Use AI-assisted development tools in daily work.
• Work with data in Microsoft Fabric and its central data layer.
• Support model lifecycle with Azure Machine Learning.
• Monitor and evaluate model outputs and quality.
• Collaborate with teams to industrialize solutions and track impact.

Skills

Machine learning

GenAI

RAG

Embeddings

Python

PySpark

Azure

LangChain

Tools

Microsoft Agent Framework

LangGraph

LangChain

Codex

Claude

GitHub Copilot

Azure Machine Learning

Azure AI Search

Microsoft Fabric

Job description

At AdvanceWorks, we learn together, grow together, and have fun together. And we do all this while creating great software solutions for clients across many industries and geographies.

We are constantly challenging ourselves and each other to use the latest technologies and the best methodologies and make sure we walk the talk.

About the project

You will be joining a telecommunications operator in Portugal. The telco company holds a vast amount of data and has made Artificial Intelligence a strategic priority for how it serves its customers and manages its operations.

For years, AI projects started separately within individual business areas. This helped teams get started quickly. It also led to duplicated work, little reuse of data and models, and difficulty scaling. The Artificial Intelligence Center identifies and prioritizes opportunities, designs and develops solutions, and puts them into production. It also defines the best practices and common standards used across the company.

You will join a team that works on real use cases with direct business impact in the B2C and Customer Care areas. This includes Machine Learning models for churn, next best action, upselling and cross-selling, and fault detection. It also includes Generative AI solutions such as LLM-based assistants for employees and customers, and Agentic AI solutions such as intelligent agents and voicebots that combine ML, GenAI and multiple information sources. The team also analyzes conversations, using speech-to-text and LLMs to assess the quality of customer service.

The team works with Python and PySpark, Microsoft Fabric with a central data layer, Azure Machine Learning for the model lifecycle, and Azure AI Search for RAG solutions. It also uses agentic frameworks such as Microsoft Agent Framework, LangGraph and LangChain, as well as Salesforce in the Field Force area. A key feature of this team is that Data Scientists work across ML, GenAI and Agentic AI. This offers rare exposure and faster growth.

What will be your role

We are looking for a Mid Data Scientist who wants to grow in applied AI and take solutions from start to finish, from the business problem to deployment, with support from senior team members.

Within the AIC, you will help design and develop use cases across Machine Learning, Generative AI, RAG and intelligent agents. You will help turn business needs into concrete analytical solutions and contribute to the technical approach. That could mean choosing ML models, working with LLMs or applying prompt engineering.

Day to day, you will build data pipelines and models in PySpark and develop full-stack agents, covering both frontend and backend. You will also support the evaluation, monitoring and quality of models and their outputs. AI-assisted development tools such as Codex, Claude and GitHub Copilot will be part of how you work.

You will work closely with business and technical teams to industrialize solutions and track their impact. As you grow, you will be encouraged to take on more autonomy and responsibility while gaining hands‑on experience across ML, GenAI and Agentic AI.

Your responsibilities will include

• Participating in the design and development of Machine Learning, GenAI, RAG and agent-based use cases.
• Helping translate business needs into concrete analytical solutions.
• Contributing to the technical approach, including the choice of ML models, LLMs and prompt engineering techniques.
• Developing data pipelines and models using Python and PySpark.
• Developing Machine Learning models for use cases such as churn, next best action, upselling, cross-selling and fault detection.
• Building LLM-based assistants and GenAI solutions that transform and generate information for the business.
• Developing RAG solutions using embeddings and Azure AI Search.
• Building intelligent agents and voicebots that combine ML, GenAI and multiple information sources.
• Developing full-stack agents, covering both frontend and backend.
• Using AI-assisted development tools such as Codex, Claude and GitHub Copilot.
• Working with agentic frameworks such as Microsoft Agent Framework, LangGraph and LangChain.
• Contributing to conversation analysis solutions that assess customer service quality using speech-to-text and LLMs.
• Working with data in Microsoft Fabric and its central data layer.
• Supporting the model lifecycle using Azure Machine Learning.
• Supporting the evaluation, monitoring and quality of models and their outputs.
• Collaborating with business and technical teams to industrialize solutions and track their impact.

What should you bring to the team?

• 3 years of experience in Machine Learning and/or Generative AI.
• Solid foundations in modeling, optimization and LLMs.
• Exposure to RAG and embeddings.
• Exposure to model evaluation or monitoring.
• Programming experience in Python and Pyspark.
• Exposure to agentic frameworks such as Microsoft Agent Framework, LangGraph or LangChain.
• Experience with Microsoft Fabric is a plus.
• Experience with Azure is a plus.
• Experience with text and conversation analysis is a plus.
• Familiarity with Microsoft Foundry is a plus.
• Familiarity with AI-assisted development tools such as Codex, Claude or GitHub Copilot is a plus.
• Availability to work in a hybrid model, with 3 days per week at the office in Picoas, Lisbon.

What is in it for you

• An amazing informal culture of smart, hardworking, and friendly people who support and care about each other.
• A mentorship program from day one.
• The opportunity to work with real-world operational data from tolling and Intelligent Transportation Systems.
• The opportunity to work on large-scale data and cloud projects using modern technologies.
• Formal training and certifications in data, cloud, and engineering excellence.
• Access to cutting-edge tools and technologies.
• A dynamic company where your ideas matter more than job titles.
• Flexibility with responsibility.
• A Rubber Duck to help you debug those tricky data pipelines.