Data Scientist

Job Title - Data Scientist

Location and Working Conditions - Southeast - 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, in fact, what they really need is a good engineer or reporting analyst.

I've hired Data Scientists for previous clients 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, I am always excitable and feel much more comfortable about hiring them.

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

It is a brilliant business that is genuinely forward-thinking and growing organically. It seeks bright and motivated people to help it revolutionise an industry, have a positive impact on the planet, and have 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 the right model for the job.

Culture

• We’re looking for an excellent fit for the company. We want people who are accountable, build trust and are innovative.
• We encourage you to apply even if you may not meet every requirement in this posting.
• We value diversity, 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 the development of quarterly product roadmaps.
• You are fluent in Python and its broader numerical ecosystem (Pandas, NumPy, Scikit-learn, Polars, etc.).
• You have at least three years of commercial experience developing and productionising real-time Machine Learning and Data Science projects.
• 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 (e.g., SQL) and SQL Alchemy.
• 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