Synthesis

Software Engineer (Intern)

Singapore

$40
14 days ago
Save Job

Summary

The Role


At Synthesis we push the boundaries of what’s possible with Open Data. It’s a fast-paced, rapidly-changing environment at the intersection of data science, cultural analysis & brand consultancy. We make sense of the world's data to future-proof business. 


As a Software Engineer Intern, you’ll help us build strategic planning tools for the world's sharpest insights and marketing professionals, helping them prioritise the issues that matter most to their business and spot where the next big change will come from. You’ll be exposed to the entire software life-cycle - from planning, building, and testing features for delivery to maintaining and documenting deployed code in production environments. We work in a small and tight-knit software engineering team following an Agile process with a strong focus on peer reviewing, where you’ll have the opportunity to learn and contribute immediately.


What you'll need


  • A solid foundation in computer science, with competencies in algorithms, data structures, object-oriented programming, software design principles, and distributed systems
  • Experience developing in one or more general-purpose languages, such as Python, JavaScript, Java, C#, Go, etc. 
  • Backend web development experience building REST APIs. Frontend web development and/or GraphQL experience is a plus. 
  • Experience with Git and familiarity with a centralised code repository such as GitHub or GitLab.
  • Working knowledge of SQL and relational databases. Experience with PostgreSQL is a plus.
  • Experience with cloud providers such as Google Cloud or AWS is a plus.
  • Experience with containerization using Docker is a plus.


About Synthesis


We do Human Centred Data Science.


It’s a way of reimagining open data sources from a human perspective. It prioritises behaviour and context to unravel why people do what they do at scale. By blending data science with human and market intelligence, we help our clients spot early signals of change and predict implications for business.


Diverse by design.


Synthesis is a team of digital researchers, gaming designers, data forecasters, network scientists, ethnographers, and engineers. Cultural and category experts train our models, ensuring they detect measures that matter most, while data scientists uncover patterns the eye cannot see.


Building bespoke, comprehensive datasets where none exist.


We work with open data—search, ratings, social, and sales. By layering many signals, we build robust and relevant data-driven stories about brands, businesses, and consumer behaviour.


Asia first, globally applied.


Our products must work in Asia first—the hardest test market. We continue to make huge investments in language and capabilities across Asian-specific platforms, which are now being applied in Europe, LatAm, and the USA.


Why Synthesis?


Synthesis is known for delivering exceptional data models and products that unravel the stories of the people they represent and inspire our partners with the confidence to act. 

Partnering with the world’s most successful brands in fashion, beauty, content, and travel, we’re building specialised solutions to solve problems of planning for the future. Rooted in culture and tested in data science, we spot and anticipate changes and connections in culture to inspire action and help brands grow with a new wave of audiences. After three years of iteratively developing and perfecting these models, we are preparing to launch a series of products over the next five years.  

We will be at the forefront of a shift towards leveraging open data to develop rich, honest, human insight. In an industry that has for too long relied on ‘question-response’ approach to understanding changes in behaviour, we prioritise layering behavioural, performative, search, and sales data to highlight the discrepancies between what people say they do and what they actually do. We see a $40 billion industry that has failed to innovate for too long, and we are just getting started.



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