Sr. Data Scientist

London, United Kingdom

Applications have closed

AiDash

AI-first SaaS company on a mission to transform operations, maintenance, and sustainability in industries with geographically distributed assets by using satellites and AI at scale.

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Who is AiDash?
AiDash is an AI-first vertical SaaS company on a mission to transform operations, maintenance, and sustainability in industries with geographically distributed assets by using satellites and AI at scale. With access to a continual, near real-time stream of critical data, utilities, energy, mining, and other core industries can make more informed decisions and build optimized long-term plans, all while reducing costs, improving reliability, and achieving sustainability goals.   AiDash is backed by top-tier investors, including Benhamou Global Ventures, National Grid Partners, Edison International, and Shell Ventures. To learn more about how AiDash is helping core industries become more resilient, efficient, and sustainable, visit www.aidash.com. What's the role? Our leading AI-first SaaS organization is currently in need of a Data Scientist to join our fast-growing team. Ideal candidate will be involved in conducting analytical experiments in Geospatial analytics, Computer Vision & Deep Learning and will convert them into usable software or APIs. This is the perfect opportunity for the successful candidate to become part of an innovative and energetic team that develops ground-breaking innovative solutions to make the planet safer and sustainable.

What will you do?

  • Manage and execute Data Science projects from start to finish, including project management, data collection, modelling and analysis, synthesis and communication of insights and recommendations to cross functional stakeholders. 
  • Collect, organise, interpret, and summarise Geospatial and Statistical data to contribute to the design and development of AiDash products 
  • Apply expertise in quantitative analysis, data mining, and presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products 
  • Identify areas of opportunity and influence execution of results via cross-functional participation to enable continuous improvement and quick wins 
  • Analyse and determine methods & techniques for obtaining best solutions
  • Mentor Interns / Junior Data Scientists during on boarding to deliver high quality throughout 

What are we looking for?

  • Bachelor's /Master’s Degree in Computer Science, Mathematics & Computing, Electrical Engineering or related fields from premier institutes with an experience ranging from 3 to 6 years 
  • Theoretical knowledge and understanding of Image Processing, Machine Learning and Deep Learning basics 
  • Practical experience in Statistical, Computer vision & Machine Learning models (Deep learning models) 
  • Extensive experience in writing computer programs in Python, and relevant Deep Learning frameworks (PyTorch / TensorFlow / Caffe / etc.) 

What other experience will make you a great candidate?

  • Experience in leading a team of Data Scientists 
  • Knowledge of databases (HDFS, RDBMS, Key-Value storage, MongoDB, etc.) 
  • Experience in Deploying Machine Learning solutions and familiar with the tech-stack (Docker, FastAPI, PySpark, Kubeflow, etc.)
  • Hands-on experience working with Cloud Environments (AWS / GCP, S3, Lambda, etc.) 
  • Adherence to best programming practices, Object Oriented Programming, Documentation and Code Reviews 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs AWS Caffe Computer Science Computer Vision Data Mining Deep Learning Docker Engineering GCP HDFS Kubeflow Lambda Machine Learning Mathematics ML models MongoDB PySpark Python PyTorch RDBMS Statistics TensorFlow

Perks/benefits: Career development Startup environment

Region: Europe
Country: United Kingdom
Job stats:  9  1  0
Category: Data Science Jobs

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