Shaping the future of commercial shipping | London & Athens
shipping • technology • commercial ship management • artificial intelligence • data science
April 18
🔄 Hybrid – London
Shaping the future of commercial shipping | London & Athens
shipping • technology • commercial ship management • artificial intelligence • data science
• Utilize Python to create robust, object-oriented software capable of high-performance computing using both high- and low-level language features. • Develop and design engineering solutions to meet the constraints of the data science algorithms • Build solutions that allow the analysis of large amounts of information from the company databases to discover trends and patterns, drive optimizations and improvement of product development and business strategies. • Develop processes and tools to monitor and analyze model performance and algorithm accuracy. • Collaborate with data science and product development teams • Communicate engineering needs and findings in a clear and concise way, both verbally and in writing • Stay curious and enthusiastic about using algorithms and state-of-the-art research to solve problems • Implement & maintain CI/CD processes.
• Extensive experience in Python with strong knowledge of architectural patterns and object-oriented design and implementation • 5+ years of post-academic developer experience • Experience with LINUX • Strong skills working with algorithms, computational complexity, • Good understanding of computational complexity • Able to design, build, and maintain efficient and reliable code • Familiarity in working with data visualization tools • Experience in working with data wrangling on large datasets (SQL/NoSQL) • Passionate and talented in quickly assimilating technology and science ideas • Problem-solving aptitude, analytical mind, and business acumen • Comfortable in acting as a point of contact; explaining complicated methods and data to non-technical colleagues/clients • Good organization skills and willingness to work in and help the team • Excellent command of written and spoken English (company’s working language) • Experience with cloud platforms, ideally including Azure • Experience with Kuberentes,
• Generous compensation with additional performance incentives. • Coverage under the company’s collective health insurance plan. • Opportunity to work alongside experienced people with deep knowledge in software engineering, data science & shipping business who are always eager to mentor. • Signal’s hybrid remote work policy currently includes 6 working days at premises per month, during which happy hour events take place • 2-4 weeks of onboarding training to prepare you for your new role, having the opportunity to meet about 30 trainers while diving deep into our products and/or the shipping world. • Career growth opportunities and a structured development discussion every 4 months. • Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority). • Regular team bonding events and activities.
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