Graph Data Scientist – EUC Nuclear

The Company: 

At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff.

We are seeking an experienced Graph Data Scientist to join our End-User Computing (EUC) team within the Nuclear Sector. The successful candidate will play a key role in designing, analysing, and leveraging graph data models to support complex nuclear operations, research, and safety processes. You will work closely with engineers, architects, and data teams to develop graph-based analytics, ensuring insights from complex and interconnected datasets are translated into meaningful actions within the highly regulated nuclear industry.

Key Responsibilities:

• Design and implement graph-based data models for analysing complex relationships within nuclear engineering, safety, and operations systems using tools like Neo4j, GraphX, and Gremlin.
• Conduct exploratory data analysis (EDA) and use graph algorithms (e.g., pathfinding, community detection, centrality) to gain insights from complex datasets.
• Develop and deploy machine learning models on graph structures for predictive analytics, anomaly detection, and risk analysis, supporting nuclear operations and safety requirements.
• Perform statistical analysis and data mining on large-scale, multi-dimensional datasets to identify key trends and patterns.
• Collaborate with nuclear engineers, data scientists, and IT teams to understand data sources and apply graph analytics to enhance system performance, reliability, and safety.
• Implement and optimize graph query performance using languages like Cypher and tools like Neo4j to analyse real-time data streams.
• Work with cloud-based platforms (AWS, Azure, GCP) and on-premise systems to build, train, and deploy graph-based models in production environments.
• Ensure compliance with data governance and security protocols related to the nuclear sector, working within stringent regulatory frameworks to ensure the safety and integrity of data systems.
• Collaborate on the development of data pipelines and ETL processes to integrate diverse sources of data into graph databases, ensuring scalability and reliability.
• Engage with DevOps teams to automate the deployment of graph-based data solutions and manage model lifecycle processes (ML Ops).
• Produce technical reports, dashboards, and visualizations to present complex graph-based findings to non-technical stakeholders and decision-makers.

Essential Skills and Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field.
• Strong experience with graph database technologies (e.g., Neo4j, Amazon Neptune, or similar) and proficiency in graph query languages (e.g., Cypher, Gremlin).
• Expertise in applying graph theory, graph algorithms, and network analysis in data science projects.
• Strong background in machine learning, predictive modelling, and data mining, with experience in using graph data to develop advanced analytics.
• Proficient in programming languages such as Python, R, Java, or Scala for data manipulation and model development.
• Familiarity with cloud platforms (Azure, AWS, GCP) for deploying machine learning models and graph-based analytics.
• Knowledge of DevOps practices, including CI/CD for model deployment, versioning, and monitoring in production environments.
• Hands-on experience with ETL tools, integrating data into graph databases from diverse sources.
• Strong understanding of data security, governance, and compliance standards in highly regulated environments, particularly in the nuclear sector.
• Experience in data visualization for graph-based data, using tools like Neo4j Bloom or other visual interfaces.

Desirable Skills:

• Knowledge of other graph frameworks like GraphX, Apache Giraph, or TigerGraph.
• Experience working in nuclear energy, engineering, or other highly regulated industries (e.g., healthcare, finance).
• Familiarity with artificial intelligence (AI) techniques applied to graph data structures, such as knowledge graphs.
• Experience with Natural Language Processing (NLP) and its integration with graph data for semantic analysis.
• Proficiency with data visualization tools such as Power BI, Tableau, or GraphML.

Benefits:

Join a rapidly expanding start-up where personal growth is a part of our DNA.

Benefit from a flexible work environment focused on deliverable outcomes.

Receive private medical insurance through Aviva.

Enjoy the benefits of a company pension plan through Nest.

25 days of annual leave plus UK bank holidays.

Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources.

Participate in a generous employee referral program.

A highly collaborative and collegial environment with opportunities for career advancement.

Be encouraged to take bold steps and embrace a mindset of experimentation.

Choose your preferred device, PC or Mac.

Diversity & Inclusion:

Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes:

Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued.

Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all.

Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace.

By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities.

At Amber Labs, all employees are required to meet the Baseline Personnel Security Standard (BPSS). Please be advised that, at this time, we are unable to consider candidates who require sponsorship or hold a visa of any type.

What Happens Next?

Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.