Energy Data Scientist

Energy Data Scientist

LCP Delta is working to enable the energy transition through a variety of offerings. One of these offerings is the tech enablement of vast datasets to inform key decision makers on energy market trends and provide valuable insights.

Our clients value not only our data insights, but our current suite of short-term forecasting tools. This has been built in our Enact platform through a combination of machine-learning, optimisation and fundamental models within the GB short-term trading space. A highlight of our current offering is GB imbalance forecasting, which LCP Delta has been leading in for the last 6 years.

What will you be doing?

This is an exciting role for a data scientist with existing energy market forecasting experience to join our fast-growing team and to play a key role in our growth. The role will involve developing new and working on existing applications using our in-house databases. Our current in-house tech-stack covers Python, C# and front-end web technologies, built on scalable Microsoft Azure architecture. A strong knowledge of forecasting in Python will be essential for this role.

1. Ability to lead the way on developing our new data science forecasts in the short-term energy space, starting in GB and across the continent
2. To help improve and develop our current forecasting suite, working directly with our clients to understand their key problems
3. Work with our clients, including traders with varying degrees of technical knowledge, to understand requirements and business aims. Identifying problems and providing solutions in a timely manner
4. Competent, active, engaged and willing member of the Coding Team, working alongside our energy full-stack developers and energy consultants
5. You keep up to date with the developments and changes in the field of ML and data-science development, as well as the tools and techniques used

What skills, experience and qualities are we looking for?

1. Python - strong knowledge required
2. Experience working across a range of ML models, e.g. TensorFlow and scikit-learn
3. More than 4 years of experience in the energy industry, with a specific focus on forecasting the short-term power markets
4. GitHub or Azure DevOps knowledge is desired
5. SQL knowledge is desired
6. Comfortable working as part of a team, have an enthusiasm for providing an excellent user experience and keen to learn new skills on the job
7. Good communication skills are required with the ability to discuss technical matters in non-technical language
8. Educated to degree level with either a numerical or computer-based degree, however other backgrounds will also be considered
9. You are able to provide clear and logical thinking processes and has the ability to clearly communicate examples of work

What's in it for you?

We offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes:

For you:

1. Hybrid working (varies by role and department)
2. Professional study support (where applicable)
3. Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks

For your family:

1. Life assurance (6 x salary)
2. Income protection
3. Enhanced maternity/paternity/adoption and shared parental leave

For your health:

1. 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday
2. Private medical insurance
3. Discounted gym memberships, critical illness and dental insurance through our flexible benefits
4. Eye care vouchers
5. Cycle to work scheme
6. Digital GP services

For your wealth:

1. Competitive pension scheme
2. Discretionary bonus scheme
3. High street discounts
4. Season ticket loans

For others:

1. Volunteering opportunities

For the environment:

1. Electric vehicle salary sacrifice scheme (qualifying period applies)

LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application.#J-18808-Ljbffr