Wiimer aims at thriving as a post-covid 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
Mission
Wiimer is tailored for the post-covid era. The firm aims at designing, developing and delivering Software-as-a-Service (based on artificial intelligence and experts' knowledge), digital solutions and consulting services to data-intensive industries.
Values
Global
Reliable
Proficient
Flexible
Open-source
Data-centric
Multi-cultural
Cost-effective
Customer-driven
AI Ethics
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.
Industries
RETAIL & CONSUMER GOODS
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E-Commerce
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Food retail, fashion, sports and electronics
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Supply chain & logistics
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Hotel, hospitality and restaurants
TELECOM & MEDIA
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Telecom operations, grids, assets and workforce
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Retail and customer experience
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Digital and tailored marketing
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Online analytics
MANUFACTURING
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Pulp & paper
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Petrochemical, metal & mining
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Electronics, automotive & aeronautics
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Textile and footwear
TRANSPORT
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Railway, airport and road infrastructure
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Urban mobility (control systems, metro, tram, bus and soft modes)
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Traffic and parking management
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Regulation & pricing
ENVIRONMENT
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Water abstraction, storage and distribution
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Wastewater systems
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Waste management, logistics and circular economy
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Climate & carbon economics
ENERGY
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Power generation, transmission and distribution
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Natural gas storage, LNG, transmission and distribution
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Power & Gas retail and trading
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Oil refining, logistics and retail
Capabilities
Predictive planning (e.g. budget, business) and operations (e.g. maintenance, customer churn)
Granular analyses (e.g. tailored marketing, risk-based asset management)
BigData, data-centric
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
TEAM
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.
Managing Partner
Founder
Scientific Committee
Chair
Strategy Committee
Chair
Industry Committee
Chair
Head of Legal & Corporate Affairs
Senior Business Consultant
Senior Technical Consultant
CAREERS
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.
Open Positions
Data Scientist
Role
The data scientist is accountable for the extraction, transformation and loading of datasets, as well as developing learning algorithms and BI dashboards
Qualifications
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Bachelor's degree or equivalent experience in quantative field (Computer Science, Electrical Engineering, Mathematics, etc.)
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Up to 2 years of experience in quantitative analytics or data modeling
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Understanding of machine learning, namely predictive modeling, clustering and classification techniques and algorithms
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Fluency in programming (Python, R, SQL)
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Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau, Qlik, PowerBI)
Apply with CV
Senior Data Engineer
Role
Qualifications
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MSc in Electrical and Computer Engineering (Automation field)
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Up to 10 years of experience in digital systems and data analytics
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Proficiency in machine learning, namely predictive modeling, clustering and classification techniques and algorithms
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Fluency in programming (Python, R, SQL)
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Expertise in real-time monitoring and data collection
Apply with CV
Senior Engineer responsible for the end-to-end decision support model, including sensing, automation, data engineering and programming. Although this role requires deep understanding of data analytics, the Senior Data Engineer will often participate in meetings with customers and partners.
CONTACT & PROOF OF VALUE REQUEST
Headoffice
Rua Engº Ferreira Dias nº 161 – E202
4100-247, Porto
Portugal
+351 22 32 49 100
