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Posted 24 days ago
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Location:
Salary band:
£80k - £90k
Job type:
Permanent
Sector:
Industry/Utilities
Experience:
Post Graduate
Contact:
Kate McDermott
Category:

Data Scientist – Demand Forecasting

** Start-up team within National Energy Supplier **

 

 

LOCATION -         Berkshire

SALARY -              £70k - £90k

 

This brand-new role forms part of an early stages, start up like team called Demand Forecasting. And whilst this process and type of analytics has been around for many years, the Director, Commercial Forecasting has built an ambitious, modern and exciting three year roadmap which will see the way the business forecasts energy usage and demand in cutting edge way. Through the use of machine learning, automation and modelling, he plans to revolutionise the company’s approach to meeting demand and managing supply. He is passionate and innovative, and seeking like-minded individuals who realise the HUGE potential there is to improve and change the way they deal with customer demand.

You will be managing all the modelling for the team, on a short-medium-ling term basis, taking a step into a strategic, lead role within this small yet growing team. It’s a brilliant time to join as the Director sees nothing but growth opportunity for the team and the individuals he employs, meaning you could be managing more than a couple of staff, and owning impactful strategies on a very steep learning curve. So, this would suit an ambitious, confident and innovative thinker, someone who enjoys playing around with the very latest in data science technology, huge amounts of data and working closely with senior level stakeholders globally.

You will also leverage data analysis skills to manage large datasets, sourcing and connecting data, as well as (of course) building machine learning, statistical and deep learning models. You will need to be hands on as well as supporting more junior members of staff, and will work very closely with the Operations Managers and Change Managers in the team, to constantly trouble shoot and improve models and data.

Technically they have historically used SAS and SQL, and have recently started using R and Python, so this person will also be expected to come in and champion these modern, open source tools – this is the direction the team and business are headed. So, with this in mind, you will be guiding them on the art of what’s possible, driving change and innovation.

 

EXPERIENCE REQUIRED

 

  • Educated to at least degree level in a numerate subject; Computer Science, Machine Learning, Physics, Chemistry, Mathematics, Economics, Engineering or Even Meteorology
  • Experience in bringing data to life, developing insights and recommendations
  • Expert in building forecasting, machine learning and statistical models is essential
  • Advanced user of R or Python is essential, as well as SQL programming skills
  • Experience in data management, database design and sourcing and connecting data, working with large volumes of data (millions of records+)
  • Ability to troubleshoot and solve numerical and technical problems
  • High attention to detail
  • A desire to innovative, lead from the front, think strategically as well as commercially around problem solving and how to improve processes and forecasting
  • Excellent communication skills, written, verbal, etc.

 

 

TO APPLY

For further information or to apply please contact:

Kate McDermott  - Managing Consultant @ Blue Pelican Marketing


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You don’t have to have a CV to find a new job! We’re always keen to talk to good data experts.

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Data Scientist – Demand Forecasting

** Start-up team within National Energy Supplier **

 

 

LOCATION -         Berkshire

SALARY -              £70k - £90k

 

This brand-new role forms part of an early stages, start up like team called Demand Forecasting. And whilst this process and type of analytics has been around for many years, the Director, Commercial Forecasting has built an ambitious, modern and exciting three year roadmap which will see the way the business forecasts energy usage and demand in cutting edge way. Through the use of machine learning, automation and modelling, he plans to revolutionise the company’s approach to meeting demand and managing supply. He is passionate and innovative, and seeking like-minded individuals who realise the HUGE potential there is to improve and change the way they deal with customer demand.

You will be managing all the modelling for the team, on a short-medium-ling term basis, taking a step into a strategic, lead role within this small yet growing team. It’s a brilliant time to join as the Director sees nothing but growth opportunity for the team and the individuals he employs, meaning you could be managing more than a couple of staff, and owning impactful strategies on a very steep learning curve. So, this would suit an ambitious, confident and innovative thinker, someone who enjoys playing around with the very latest in data science technology, huge amounts of data and working closely with senior level stakeholders globally.

You will also leverage data analysis skills to manage large datasets, sourcing and connecting data, as well as (of course) building machine learning, statistical and deep learning models. You will need to be hands on as well as supporting more junior members of staff, and will work very closely with the Operations Managers and Change Managers in the team, to constantly trouble shoot and improve models and data.

Technically they have historically used SAS and SQL, and have recently started using R and Python, so this person will also be expected to come in and champion these modern, open source tools – this is the direction the team and business are headed. So, with this in mind, you will be guiding them on the art of what’s possible, driving change and innovation.

 

EXPERIENCE REQUIRED

 

  • Educated to at least degree level in a numerate subject; Computer Science, Machine Learning, Physics, Chemistry, Mathematics, Economics, Engineering or Even Meteorology
  • Experience in bringing data to life, developing insights and recommendations
  • Expert in building forecasting, machine learning and statistical models is essential
  • Advanced user of R or Python is essential, as well as SQL programming skills
  • Experience in data management, database design and sourcing and connecting data, working with large volumes of data (millions of records+)
  • Ability to troubleshoot and solve numerical and technical problems
  • High attention to detail
  • A desire to innovative, lead from the front, think strategically as well as commercially around problem solving and how to improve processes and forecasting
  • Excellent communication skills, written, verbal, etc.

 

 

TO APPLY

For further information or to apply please contact:

Kate McDermott  - Managing Consultant @ Blue Pelican Marketing


Share through your CV to

Text me on

Share through your LI profile if you’re non-active and simply curious

 

You don’t have to have a CV to find a new job! We’re always keen to talk to good data experts.

For more vacancies which may suit your needs, please visit us at javascript:void(0);

 

 

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