Data Scientist - #65120

Job DescriptionJob Title - Data Scientist

Location and Working Conditions - South East - Hybrid / remote working with 2 days onsite in Oxford

Salary / Package - £70k-£90k plus benefits including unlimited holidays

Background

Some companies want to hire a Data Scientist for all the wrong reasons. They're not ready to build a data science team or they think they need a Data Scientist, when actually what they really need is a good engineer or reporting analyst.

I've hired Data Scientists for previous clients before in this situation and 6-12 months after hiring someone the new hire is bored, frustrated and looking to move on.

So when I speak to a company where Data Science is at the heart of the business, it always excites me and makes me feel a lot more comfortable about hiring for them.

So! If you are a Data Scientist that is looking for a new challenge, where you will be working with brilliantly collaborative people in a growing industry then please read on.

It is a brilliant business who is genuinely forward thinking and growing organically. They seek bright and motivated people to help them revolutionise an industry and have a positive impact on the planet, whilst having fun along the way.

The Role

• You will be working on the development of a forecasting and algorithmic trading platform in the power market:
• Building machine learning models to forecast demand, market prices, and participant behaviour.
• Building decision-making "agents" to act autonomously in power markets.
• Bringing an experimental mindset, prototyping and developing with the right model for the job.
  
  

Culture

• We’re looking for someone who is a great fit for the company. People who take accountability, build trust and are innovative.
• We encourage you to apply even if you may not meet every requirement in this posting.
• We value and our environment is supportive, challenging and focused on the consistent delivery of high quality, meaningful work.
  
  

Essential Skills / Experience

• You have exposure to energy markets or battery systems modelling.
• You have a passion for time-series forecasting and experience bringing time-series forecasts to production.
• You have experience with Bayesian or probabilistic modelling (e.g. Monte Carlo simulation, MCMC, PyMC, Hidden Markov Models, Stochastic Processes).
• You have experience bringing your creative output to support development of quarterly product roadmaps.
• You are fluent in Python and its wider numerical ecosystem (Pandas, NumPy, Scikit-learn, Polars, etc.).
• You have at least 3 years of commercial experience developing and productionising real-time projects in Machine Learning and Data Science.
• You have a BA/BSc degree in Computer Science, Machine Learning, Electrical Engineering, or related technical field.
• Version control code (Git) including dev, test and production environments.
  
  

Desirable Skills / Experience

• MS or PhD degree in Computer Science, Machine Learning, or related technical field.
• You have experience building algorithmic decision tools (e.g. mixed-integer linear programming, Cvxpy).
• Knowledge of relational and/or non-relational databases (eg, SQL), and SQLAlchemy.
• Full-stack / machine learning engineering experience.
• AWS, terraform, continuous integration, monitoring and alerting.
  
  

Benefits

• Unlimited holidays and encouraged actively to take two weeks continuous holiday break and at least 20 over the calendar year.
• Matched contributory pension
• Flexible development, ongoing training and coaching chosen by you
• Flexible working arrangements