Senior Demand Forecasting Analyst

1 week ago


London, Greater London, United Kingdom So Energy Full time

Please note we are not able to facilitate Visa or Relocation Sponsorship at present or in the future and therefore can only accept UK based applications from candidates who are able to commute weekly to our office locations in either London, HQ or Manchester.

Values-driven culture - we're really proud of our culture.

Please note we are not able to facilitate Visa or Relocation Sponsorship at present or in the future and therefore can only accept UK based applications from candidates who are able to commute weekly to our office locations in either London, HQ or Manchester.

Our Perks

Values-driven culture - we're really proud of our culture.

Drive your own experience
  • Personalised Learning and Development Budget
  • Hybrid working hours - Each team has their own Smart Working Charter that empowers you to do your work in the best way you can
  • Technology - Your choice of Mac or Windows
Empowering you to be your most authentic self
  • 25 Holiday Days + your local bank holidays
  • 1 Birthday day - it only happens once a year
  • 3 So Giving Days - spend these days giving back to your chosen cause
  • Religious Celebrations Leave
  • Mental Healthcare - Unlimited sessions with Unmind
  • Enhanced Family Leave
So Energy

Who we are

So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we've grown rapidly but sustainably, with 350,000 customers and over 450 Energists. We're not done yet. We are on the road to a net zero future, and thanks to our partnership with ESB, we're well on the way. We're customer-centric, tech-led, and passionate about sustainability.

We want to do the best we can for our customers, each other, and our planet, so we've created a workplace that's encouraging, supportive, and offers the opportunity for growth. As a company, we live by six core values that guide everything we do:

  • Clear
  • Honest
  • Ambitious
  • Inquisitive
  • Caring
  • Sustainable
The Role Senior Demand Forecasting Analyst at SO ENERGY

Reporting into Taras Iwaniw our Demand Forecasting Manager here at So Energy , you will be responsible for running the daily demand forecasting models, which are in place to calculate the expected customer demand for gas and electricity usage. You will be expected to recommend and implement changes to the models that will deliver greater stability and accuracy, whilst supporting and mentoring the other analysts in the team.

You'll be tasked with leading the analysis into customer behaviour, trends and insight. These initiatives will include subjects such as demand destruction, introduction of half hourly settlement, customer churn and price elasticity.

This role will be part of the wider Trading department and as such you will work closely on Pricing and Hedging projects.

What you'll be getting up to:
  • Utilize advanced SQL and Python skills to extract, clean, and analyse complex datasets, providing meaningful insights.
  • Produce short-term and long-term daily demand forecasts with the aim of accurately modelling customer consumption.
  • Lead the efforts to continually improve demand forecasting models, processes and systems for power, gas, environmental product purchases.
  • Responsible for monitoring the forecasting performance and delivering industry leading settlement accuracy, with a focus on setting and achieving appropriate MAPE targets.
  • Leading the continued development of key customer behaviour modelling, e.g. Demand destruction, within contract churn and portfolio movement between fixed and variable products.
  • Stay updated with industry trends and emerging technologies in data analysis and data science.
  • Supporting the Regulations team on RFI (Requests for information)
  • Supporting the Financial teams with business planning
  • Supporting the Trading department to develop both Trading and Pricing strategies
This role will be a great fit if you have:
  • Mathematics and statistics background
  • Excellent modelling skills (e.g. SQL, VBA & Python)
  • Prior experience with machine learning libraries
  • Team player
  • Excellent stakeholder abilities
  • Good organizational and planning skills
  • Mathematics, science, engineering, economics or similar degree level education
Nice to haves:
  • Understanding of energy wholesale markets and commodity risk
  • Understanding of industry process & parties
  • Knowledge of gas and electricity forecasting (domestic suppliers)

Research shows that some people are less likely to apply for a role unless they are 100% qualified. Your experience, skills and passion will set you apart so tell us about your achievements, irrespective of whether they are personal or work-related, tell us about your journey, and about what you learnt.

So, if this role excites you, don't let our role description hold you back, get applying

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