Senior Data Scientist

Job Description

Have you got demonstrable proficiency in Python and SQL?

Do you have a strong understanding of best practices for the full software development life cycle?

If so, we may have the perfect opportunity for you here at EDF as a Senior Data Scientist within our AI team of the AI & Automation Centre of Excellence!

The Opportunity…

This position is part of the AI team within the AI & Automation Centre of Excellence, a key group focused on improving operational efficiencies and creating new customer propositions through the use of AI.

The AI & Automation Centre of Excellence is a team of experts essential to delivering cutting-edge AI and automation solutions that support various operations across the organization.

The team collaborates with multiple departments to ensure AI initiatives are closely aligned with business goals and operational requirements.

In this role, you will report to the AI Manager within the AI & Automation Centre of Excellence and will be responsible for leading a small team of Data Scientists.

Pay, benefits and culture

Alongside a negotiable salary depending on experience, the potential to earn 5% bonus, 28 days holiday plus bank holidays and a market-leading pension scheme, your package will include a range of benefits, from the big and formal to the small and personal.

We’re talking about everything from enhanced parental leave to electric vehicle leasing, health insurance to product discounts, critical illness insurance to technology vouchers, gym membership to season ticket loans.

At EDF UK, we embrace flexibility while recognising that everyone's working needs are different. Whether you're in our office spaces, on site, or working remotely, we promote an environment that supports collaboration, connection, and comfort. No matter where you are, our priority is to make sure you feel safe, valued, and celebrated.

Here, we do right by each other and everyone’s welcome. We’re on an action-oriented journey, championing equity, diversity, and inclusion. We’d like our future workforce to have an equal gender balance, represent a broad mix of people from minority ethnic backgrounds, LGBTQ+, those with a disability and supporting social mobility.

We’re a disability confident employer and we’ll do all we can to help with your application. Please let us know if you need to request reasonable adjustments.

We take pride in fostering a dynamic and inclusive environment, where the diverse backgrounds and experiences of our employees drive fresh thinking and innovation. We understand that success means different things to different people. We believe there are multiple definitions of what it means to succeed. That’s why we support you to pursue a career that’s unique to you. Because success is personal.

What you’ll be doing

• Leadership and Coaching: Manage, Nurture and develop a team of AI Data Scientists
• Innovation and Creativity: Willingness to explore new ideas, take calculated risks, and foster a culture of continuous learning and refinement.
• Commercial Acumen: The ability to approach problem-solving with a commercial perspective, demonstrating agility and adaptability.
• Collaborative Spirit: Thriving in a teamwork-oriented setting, energizing cross-functional collaborations with teams and business entities using stellar interpersonal and communication capabilities.
• Accountability: Demonstrating ownership of your accomplishments and managing your work based on established objectives.
• Customer Focus: Creating customer-centric products and ensuring their successful execution.

Who you are

We are looking for a talented and experienced Data Scientist to join our team. The ideal candidate will have strong expertise in scripting languages, particularly with libraries such as TensorFlow, PyTorch, and Hugging Face Transformers, with a solid understanding of LLM architectures.

You will also need to be well-versed in various machine learning techniques, including supervised, unsupervised, and semi-supervised learning, as well as neural networks, support vector machines (SVM), tree-based methods, and deep learning algorithms. Knowledge in natural language understanding and generative AI will be essential.

The role requires proficiency in MLOps practices, particularly in building and deploying production applications in cloud environments such as AWS, Azure, or similar platforms. A background in generative AI tools, including experience with prompt engineering, fine-tuning language models, and selecting appropriate models for specific tasks, is highly desired.

As part of the team, you will also be responsible for gathering, cleaning, and preprocessing large datasets from various sources. You’ll be expected to identify and create relevant features from raw data that enhance the performance of AI models.

Additionally, you will be involved in developing, training, evaluating, and optimizing machine learning models, assessing their performance, and fine-tuning hyperparameters to achieve optimal accuracy and efficiency.

If this sounds like you or something you’d be interested in, please get in touch!

Closing date for applications: 29.05.2025
Location: Flexible/Home working – occasional travel for meet ups in London or Hove

Additional Information

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