Data Scientist

Lane Clark & Peacock LLP; City of Edinburgh; Hybrid; GBP 40,000 - 55,000; Full time

Job summary

A leading energy consultancy is looking for a Data Scientist in Edinburgh. The role involves developing and enhancing forecasting applications for the energy market, requiring strong skills in Python and machine learning. The company provides a hybrid working model, competitive benefits, and a collaborative environment. This is an exciting opportunity to contribute to the energy transition process.

Benefits

Hybrid working

Professional study support

Life assurance

Enhanced parental leave

Private medical insurance

Cycle to work scheme

Volunteering opportunities

Qualifications

• Demonstrable experience in Python required.
• Experience with ML models like TensorFlow and scikit-learn.
• Comfortable in a team and willing to learn new skills.

Responsibilities

• Developing new data science forecasts for short-term energy.
• Enhancing existing forecasting applications.
• Collaborating with clients to understand their requirements.

Skills

Python

Energy industry forecasting

Machine learning models

Good communication skills

Education

Degree in a numerical or computer-based discipline

Tools

TensorFlow

scikit-learn

GitHub

Azure DevOps

SQL

DataBricks

Job description

Overview

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 also our 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 for the last 6 years.

As a key area of focus and growth for LCP Delta, we are now looking to improve, scale and build-out our data science capabilities. Our mid-term strategy is to deploy technology across all our existing offerings, leveraging in-house data and skills to maximise our impact on the energy transition. This role will directly contribute to that strategy.

This is an exciting opportunity for a data scientist with experience in 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 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.

What will you be doing?

• Taking ownership of developing our new data science forecasts in the short-term energy space, starting in GB and across the continent
• Enhancing and evolving our current forecasting suite, working directly with our clients to understand their key challenges
• Collaborating with our clients, including traders with varying levels of technical knowledge, to understand requirements and business aims - Identifying problems and delivering timely solutions
• Working as a collaborative member of the Coding Team, alongside our energy full-stack developers and energy consultants
• Staying up to date with the developments and changes in the field of machine learning and data-science, including tools and techniques used

LCP Delta's Power Market Modelling Team

LCP Delta's Power Market Modelling team develops in-house models of pan-European energy markets. Our consulting teams use these models to support key decision makers enabling the energy transition. This includes helping Governments and regulators design effective policy and supporting investors to understand revenues expected from their assets.

Example models within the team include our pan-European power market forecasting tool, EnVision, and our battery asset platform STOREcast, which puts our models in our clients' hands to configure their own asset and produce revenue forecasts. These models use a variety of mathematical techniques from agent-based approaches to stochastic optimisation models.

What skills, experience and qualities are we looking for?

• Python - demonstrable experience required
• Experience working across a range of ML models, e.g. TensorFlow and scikit-learn
• Significant experience in the energy industry, with a specific focus on forecasting the short-term power markets
• GitHub or Azure DevOps knowledge is desired
• SQL knowledge is desired
• Experience in DataBricks is desired, but not necessary
• You will need to be 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
• Good communication skills are required with the ability to discuss technical matters in non-technical language
• A degree in a numerical or computer-based discipline is desirable, but we also welcome applicants from other backgrounds
• 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?

Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, 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:

• Hybrid working (varies by role and department)
• professional study support (where applicable)
• Access to our internal Wellbeing, LGBTQ+, Multicultural and Women\'s networks

For your family:

• Life assurance (6 x salary)
• Income protection
• Enhanced maternity/paternity/adoption and shared parental leave

For your health:

• 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
• Private medical insurance
• Discounted gym memberships, critical illness and dental insurance through our flexible benefits
• Eye care vouchers
• Cycle to work scheme
• Digital GP services

For your wealth:

• Competitive pension scheme
• Discretionary bonus scheme
• High street discounts
• Season ticket loans

For others:

• Volunteering opportunities

For the environment:

• Electric vehicle salary sacrifice scheme (qualifying period applies)

And much more!

We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation.

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. This may be extra time for assessments, pre-interview site visits, interview structure or questions, or asking us about building accessibility. Whatever it may be, please get in touch via our dedicated email address - [e-mail] to discuss how we can support you with your application.

LCP currently holds a sponsorship license for skilled worker visas, allowing us to assist with applications aligning with the UK Government's criteria for skilled worker sponsorship. If you anticipate needing sponsorship for a skilled worker visa, we recommend reviewing the sponsorship criteria for your desired role before applying to LCP.