The company is a cutting edge cryptocurrency and blockchain technology company and are committed to transforming supply chain operations across the trade and finance industries.
They are an excellent team, fun, friendly and are now expanding and are keen to welcome new talent into their company.
This role is based in London.
- Carry out independent research to take an issue such as forecasting crop yields, using data taken from Farm sensors, Drone and Satellite images and historical data to a full validated coded model
- Own research and experience is desirable, run experiments to explain and evaluate data sets and models and new features.
- Collaborate with our programmers to research models and pipeline into a production ready Saas Platform.
- You would use your machine learning experience so our own system can learn and clean the data itself. Happy to work with pools of raw data provided by our clients and customers.
- Work with other Data Experts and Engineers to develop our in-house data science library and pipeline. API told are essential and you will have a large amount of input from an early stage.
- Exploration, experimentation, data analysis & machine learning
- Extremely strong coding skills in Python (alternative languages possible)
- A quantitative degree/PhD – Maths, Statistics, Physics, AI/Machine Learning,
- Knowledge of sklearn, python, pandas, tensorflow, R, spark, SQL etc.)
- Experience or strong interest relating to trading, financial or energy markets
- Experience applying AI or Machine Learning to multivariate time series or sequential prediction problems (adjusting traditional ML, state space models & gaussian process regression, LSTMs etc.)
Salary: Equity + Salary $95k – dependent on experience and negotiable.
Start Date: As soon as possible.
To hear more about this role you can:
- Email – email@example.com
- Send a connection request on LinkedIn to Zoe Williamson https://www.linkedin.com/in/mrszoewilliamson/
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