2 Empregos para Visualização De Dados - Portugal

Data Science Mastermind

Porto, Norte €90000 - €120000 Y Critical TechWorks

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We're looking for bright Data Science Masterminds to join our team

At Critical TechWorks, our Data Scientists play a pivotal role in steering the future of mobility. With a blend of technology, creativity, and analytical prowess, you will be instrumental in unlocking insights from vast data, driving innovation in areas across the whole universe of the automotive industry. If you are passionate about harnessing data to shape the future of automotive experiences, this is where your journey begins.

  • Advanced Statistical Analysis: Apply your expertise in statistics to analyze complex datasets, uncovering patterns and insights that inform key decisions.
  • Machine Learning Model Development: Design and refine machine learning models, enhancing the capabilities and intelligence of BMW's systems.
  • Data Visualization and Communication: Craft compelling visualizations and convey findings to stakeholders, translating complex data into actionable insights.
  • Experimentation and A/B Testing: Lead rigorous testing to evaluate the effectiveness of different strategies and approaches, ensuring continuous improvement.
  • Collaborative Solution Design: Work closely with cross-functional teams, including engineers and product visionaries, to design data-driven solutions that align with strategic objectives.

Whatever you're working on, here's the lowdown on the technical skills you're likely to have:

  • At least 3 years of experience in technical software engineering, good scripting, and programming skills with at least one programming language (Python, Scala) and proficiency with data science libraries (e.g. Pandas, Numpy, matplotlib, seaborn, sklearn).
  • Experience with data querying languages (e.g. SQL).
  • Experience working with public cloud platforms, especially AWS, and according to technologies and services is a plus (e.g. Apache Spark/ AWS glue, Apache HIVE/ AWS Athena, Jupyter/ AWS Sagemaker, ML-LIB).
  • Experience with IaC such as Terraform is a plus.
  • Expertise with quantitative analysis, experimentation, and data mining.
  • Advanced experience in applied statistics, Machine Learning, or related fields.
  • Experience in analyzing and visualizing complex statistical data is a big plus.
  • Experience in automotive data processing / data science is a big plus.

CTW's Daily Toolkit

Skills
Apart from great technical skills, our environment is fast-paced and 100% agile, and prioritizes autonomy, teamwork, interaction and resilience. This means our Data Scientists
must also
possess the following:

  • Embrace agile and its implementation frameworks namely Scrum, to make the most out of all its events and work to keep evolving a high-performing team.
  • Be available to be a cross-functional team member by using and developing new skills and enabling a fully responsible team able to cover the whole product lifecycle.
  • Use standard software engineering practices and tools like version control, IDEs, data dashboards, to manage and keep a systematic and organized development process.
  • Use state of the art DevOps quality practices and tools such as Continuous Integration /Continuous Deployment (CI/CD) pipelines to build, analyse, perform automated testing and deployment processes, to ensure a streamlined and reliable development workflow.
  • Run and operate developed software inside and outside working hours if needed, to provide high quality software services (extra compensation will be applicable).
  • Be available to travel abroad for short periods, as required to support all the phases of the product development cycle when needed.
  • Have excellent English oral and written skills. German communication skills will be a plus.

Who we are

Critical TechWorks seeks a distinct and treasured corporate culture, that is very much our own. This means:

  • Growth and Innovation: Be a key player in shaping the future of mobility through innovative ideas.
  • Engineering Excellence: Immerse yourself in an environment valuing engineering process, where we create, innovate, lead, and make a tangible impact.
  • Autonomy and Collaboration: Thrive in a culture that blends autonomy with teamwork, contributing to groundbreaking developments.
  • Continuous Learning: Embrace constant skill enhancement in a dynamic workplace, where your contributions impact cutting-edge technology projects.

Join Critical TechWorks on our journey of innovation, excellence, and redefining the future of motion, one product at a time.

Notice:
Apply to only one job; our Talent Team will analyze your profile and consider you for all relevant positions.
At Critical Techworks we are creating an inclusive culture that values our people's different viewpoints and experiences, regardless of sexual orientation, gender identity, age,
color, ethnicity, religion, or disability.

Critical TechWorks is a joint venture to lead the future of motion. Established in 2018, Critical TechWorks is a company formed as a result of a partnership between BMW Group and Critical Software. Critical TechWorks is exclusively put together to support BMW in building software for its future driving machines.

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AI & Data Science Intern – Industrial Innovation & Generative AI (m/f/d)

Amadora, Lisboa €25000 - €35000 Y Siemens

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Job ID

Posted since

02-Jul-2025

Organization

Foundational Technologies

Field of work

Internal Services

Company

Siemens S.A.

Experience level

Recent College Graduate

Job type

Full-time

Work mode

Hybrid (Remote/Office)

Employment type

Fixed Term

Location(s)

  • Amadora - Lisboa - Portugal

Create a better #TomorrowWithUs

At Siemens, we build technology solutions to shape the world we live in. We transform industries and societies by combining the real and digital worlds. With over of the world's most forward-thinking minds and the power of a presence in more than 190 countries, we make a truly global impact.

At the Portugal Tech Hub, we take on challenges to make life easier, safer, and more sustainable for us and generations to come. We bring value to the business digitalization transition, from Portugal to the world, in areas such as Artificial Intelligence, Analytics & Business Intelligence, Application Lifecycle Management, Cybersecurity, IT Infrastructure Management, IT Project & Service Management, IT Strategy, User Experience, and many more.

With a decade of history and around 1.600 experts, the Portugal Tech Hub is the home of the new technologists – Dream Builders, Impact Creators & Future Makers.

Are you one of them? Come join us

About Siemens Foundational Technologies Department

Siemens Foundational Technologies is the central in-house research unit at Siemens and as such occupies an outstanding position within Siemens' R&D facilities. It acts as a strategic partner to support Siemens' business units with R&D services, protects the company's intellectual property, coordinates the collaboration with top universities worldwide, and supports standardization activities in all business units and regions. Through its R&D activities in Germany, USA, Portugal, China, India, Japan, and Eastern Europe, Siemens Technology helps to secure the company's technological future and strengthen its ambition.

Your mission will be…

This role is an opportunity for a junior data scientist who is enthusiastic about developing of applications in such areas as satellite and drone images processing, industrial monitoring and analytics, power grids optimization, leak detection in the pipelines, and many others. The business demands new ways of data processing, analysis and visualization, as well as performance optimization and process management based on cutting-edge technologies in web, big data and streaming.

What are the responsibilities?

  • Contribute to the development of advanced analytics components within industrial systems, spanning Generative AI, computer vision, condition monitoring, signal processing, and beyond
  • Leverage large-scale, heterogeneous industrial data to build impactful AI/ML solutions that address real-world operational challenges
  • Support the exploration of untapped opportunities in Generative AI and big data for design, engineering, and analytical applications
  • Assist in rapid prototyping, feasibility studies, and the formulation of groundbreaking approaches to validate new ideas
  • Collaborate with a highly skilled team of machine learning engineers and software developers in a dynamic, innovation-driven environment

We are looking for someone with:

  • Strong background in mathematics, physics or computer science
  • Experience and deep understanding in machine learning, signal processing and data mining
  • Practical experience with deep neural networks (LLMs or computer vision models)
  • Basic software development skills (Git, IDE, Linux)
  • Good knowledge of Python or another programming language
  • Proficiency with basic data structures and algorithms
  • Experience in handling and analyzing large data sets

What you can expect from us…

A 12-month internship with allowance on a hybrid and flexible working model designed to enhance your work-life balance while supporting your studies. In addition, you'll have access to online learning platforms and discounts with our partners.

What makes us proud as an employer:

  • Merco – Companies and Leaders with the Best Reputation in Portugal (#1 Technology/Manufacturing)
  • Forbes – World's Best Employers (#1 Engineering & Manufacturing)
  • LinkedIn – LinkedIn Top Companies (#2)
  • OnStrategy – REPSCORE 2024: Brands' Reputation in Portugal (#1 Engineering & Electronic Services)
  • Fortune – World's Most Admired Companies (#1 Industrial Machinery)
  • Teamlyzer – Company with the Best Interviews (#1 Technology)

Selection steps:

Our process starts with a review of your CV and if you move on to the next phase, you will be invited to do a video/phone interview in English. The final step will be an interview with your manager and/or team to get to know you better

Please attach your CV in English.

#Siemens #PortugalTechHub

Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool

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