Data Scientist

Job Description

The Role

As a Data Scientist at Elula, you will play a key role in building and maintaining the models that power our AI-as-a-Service platform. You will design, implement, and optimise data pipelines, models and tools, ensuring that our data is accurate, reliable, and scalable. You’ll collaborate closely with data engineers, software engineers, and customer-facing teams working end-to-end across the data lifecycle, from ingestion and modelling through to validation and delivery. 

We’re looking for someone who jumps at the opportunity to work autonomously on open-ended problems and thrives in an environment where collaboration, ambition, and excellence is paramount. Our ideal candidate is a stellar communicator, able to connect with all types of people, who puts their hand up, takes ownership, and is never afraid to ask for help when needed. 

What You’ll Bring

• Work on Elula’s ML software product sets to further develop, deploy, and deliver production-level machine learning and optimisation models 
• Use the latest AI and cloud technologies, including serverless and containerised computing 
• Consistent drive to always improve the performance, automation and scalability of our products 
• Delivering new innovations and additions to our suite of data science assets 
• Onboard new clients via engineering, analysis, and data science 
• Support regular processing of new data updates and model trainings 
• Support ad hoc insights generation, modelling, and advanced analytics, among other things 
• Support, where possible, our AWS big data infrastructure 
• Continue developing your skills to increasingly contribute to product development 
• Understand that responsibilities vary as business needs evolve 
• Work closely with the Data Science and Engineering teams and report to the Head of Data Science 

Nice to Have

While the following are not required, they are highly valued. 

• Experience building, tuning and deploying machine learning using Spark, scikit-learn, PyTorch, TensorFlow, Keras, or similar tools 
• Exposure to machine learning development and deployment at scale on cloud platforms, preferably AWS 
• Experience applying data science to solve complex problems 
• Strong programming skills with at least one language: Python, R, Scala, Java, or other 
• Familiar with agile working practices, DevOps, and CI/CD principles 
• Take ownership from start-to-finish, develops with limited supervision, is a proactive self-starter 
• Calls out for help when needed, resilient, drive to make things happen, rapid problem solving 
• Communicates effectively with technical and non-technical stakeholders and team members 
• Enjoys start-up culture: team over individual, flexibility surrounding assignments, and solving problems within, or outside of, formal duties 

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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