Lead Data Scientist

ENODA; City of Edinburgh; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading company in energy technology seeks an experienced Lead Data Scientist to drive predictive modeling and data-driven decision-making. Based in Edinburgh, this role involves optimizing operations and integrating machine learning into energy strategies. The ideal candidate will have a strong background in data science, machine learning, and time-series analysis.

Benefits

Private Medical Insurance

Flexible Pension policy

33 days annual leave

Dental cash-back scheme

Cycle-to-Work scheme

Life Assurance

Qualifications

• 5+ years of experience in applied data science and machine learning.
• Very strong background in time-series analysis and forecasting.
• Proficiency in relevant programming languages and frameworks.

Responsibilities

• Building and deploying machine learning models for energy forecasting.
• Ensuring data quality and integrity for accurate model outputs.
• Developing algorithms for energy market interactions.

Skills

Machine Learning

Python

Time-Series Analysis

Data Visualization

Big Data Frameworks

Education

Degree in Data Science, Computer Science, or related field

Tools

TensorFlow

PyTorch

GCP

Azure

Job description

Lead Data Scientist

Department: Technology

Employment Type: Full Time

Location: Edinburgh, Scotland

Compensation: GBP 80,000 - GBP 100,000 / year

Description

We have an exciting opportunity for an experienced Lead Data Scientist to join our business as we continue to scale.

The Lead Data Scientist will drive the development of predictive models and data-driven decision-making for energy technology applications. They will play a key role in analysing system performance, optimizing operations, and integrating machine learning techniques into energy balancing strategies.

Who we are

Energy is the primary input to everything. Our continued prosperity is dependent on reliable, affordable, clean electricity.

ENODA is an innovator in energy platforms, developing advanced technologies for grid operators and developers that remove constraints to decarbonisation.

Integrated hardware and software solutions slot into existing infrastructure, enabling the grid to become self-balancing and the primary provider of system stability.

We are a mission-driven organisation committed to enabling humanity to prosper on 100% renewable energy. We are averse to introducing bureaucracy and are building a working culture that enables us to achieve our purpose and change the world.

Check out the ENODA YouTube channel to learn more about us.

You'll spend your time:

• Building and deploying machine learning models for energy forecasting and system optimization
• Working closely with engineers and mathematicians to validate data-driven models
• Designing and implementing real-time analytics for monitoring grid stability
• Developing algorithms for energy market interactions, including bidding strategies
• Ensuring data quality and integrity for accurate model outputs

The key experience we're looking for:

• A degree in Data Science, Computer Science, or a related field
• 5+ years of experience in applied data science and machine learning
• Proficiency in Python, TensorFlow/PyTorch, and data visualization tools, big data Frameworks, GCP/Azure
• Very strong background in time-series analysis and forecasting

The following would be advantageous:

• Experience in energy markets, grid optimization, or renewable integration
• Knowledge of blockchain technology and decentralised computing
• Familiarity with reinforcement learning and decision optimisation

What we offer:

• Salary: GBP 80K - GBP 100K dependent on skills & experience
• Private Medical Insurance
• Flexible Pension policy tailored to your requirements
• 33 days annual leave + Holiday purchase/sell scheme
• Dental cash-back scheme
• Cycle-to-Work scheme
• Season travel ticket loan
• Enhanced company sick pay & Income Protection
• Life Assurance

This role is based onsite at Quartermile in Edinburgh.