Wiimer aims at thriving as a trustworthy AI firm.
We bring artificial intelligence and data analytics to a wide set of industries.
Wiimer designs, develops and delivers expert-trained decision-aid models and digital solutions to data-intensive industries, by combining business acumen, advanced analytics and information technologies.
Mission and Values
To unlock the potential of data-intensive industries providing an innovative approach to business processes and decision making. For such purpose, we develop and deliver expert-trained decision-aid models and digital solutions based on a unique combination of business acumen, advanced analytics and information technologies.
Unlocking the power of data to drive change is no easy task. We often find ourselves navigating through uncharted waters. Our 10 dots are our navigating stars. They bring us together and keep us sailing with confidence.
Wiimer has drawn ethical “red lines” concerning the development and use of artificial intelligence and data analytics. Wiimer adopted a Code of Ethics for AI.
Food retail, fashion, sports and electronics
Supply chain & logistics
Hotel, hospitality and restaurants
TELECOM & MEDIA
Telecom operations, grids, assets and workforce
Retail and customer experience
Digital and tailored marketing
FINANCIAL & POSTAL
Banking & capital markets
HEALTH & PHARMA
Hospitals & clinics
Pulp & paper
Petrochemical, metal & mining
Electronics, automotive & aeronautics
Textile and footwear
Railway, airport and road infrastructure
Urban mobility (control systems, metro, tram, bus and soft modes)
Traffic and parking management
Regulation & pricing
Water abstraction, storage and distribution
Waste management, logistics and circular economy
Climate & carbon economics
Power generation, transmission and distribution
Natural gas storage, LNG, transmission and distribution
Power & Gas retail and trading
Oil refining, logistics and retail
Predictive planning (e.g. budget, business) and operations (e.g. maintenance, customer churn)
Granular analyses (e.g. tailored marketing, risk-based asset management)
organization and decision-making models
Optimization tasks (e.g. cost-to-serve, revenue maximization, workforce dispatching)
Digital transformation and real-time monitoring (e.g. sensoring, online data visualization)
Robotics, process automation, acceleration and enhanced accuracy
Probabilistic performance, productivity and talent management
Operating model design, agile project management and operations control & reporting
The Wiimers are senior managers, engineers and data scientists with proven trackrecord in strategic planning, digitalization, technology development and advanced analytics at Energy, Environment, Transport, Retail, Telecommunications, Banking, Manufacturing and Health & Pharma sectors.
Chief Technology Officer
Chief Corporate & Legal Officer
Senior Business Consultant
+ Data Scientists, Engineers and Consultants across Portugal, Spain and Latin America
We are willing to cross the globe just to find the right talent.
We strongly believe that in a globalized and interconnected world, physical location cannot deter us from hiring the right candidate. Wiimer recruits globally, resorting to cutting edge teamwork technology.
If you are willing to join a disruptive technology firm, Wiimer is the right place for you.
Wiimers are committed to bringing AI and data analytics to a wide set of industries. Our team is passionate about creativeness, innovation and multicultural environments.
Wiimer is an equal opportunity employer. We foster a diverse culture where individual differences are recognized and appreciated.
Data Analyst will participate in AI & data analytics end-to-end client projects, tackling complex business problems with strategic thinking and creativity, and developing solutions that bring significant business value to our clients.
Key job responsibilities include extraction, transformation and loading of datasets, as well as developing learning algorithms and BI dashboards.
Degree/master’s in computer science, Information Technologies or an Engineering related field
2+ years of relevant technical experience in analytics /business intelligence delivering end-to-end projects
Understanding of machine learning, namely predictive modelling, clustering and classification techniques and algorithms
Experience with ML programming languages (Python and/or R)
Experience with Big Data frameworks and visualization tools (e.g. Azure, Databricks, PowerBI, Looker)
Experience with Oracle PL/SQL, SQL and Java
Experience with generative AI tools (e.g. Azure OpenAI) and data engineering
Excellent English language skills
Knowledge in Agile methodology, Jira and Confluence is a plus.
CONTACT & PROOF OF VALUE REQUEST
Rua Paulo da Gama, 629 – E2.03