Nuclear Waste Services has opportunity for a Group Waste Model Manager to join our busy team flexible working across the NWS estate.
As part of this role you will establish and enact effective strategic oversight of the Group Waste Model. Embedding the concept of enterprise modelling and decision making as a key enabler for the NDA group wide Integrated Waste Management Programme.
You will also develop consistent approach across the NDA group for waste assumptions, inventory data and strategic waste plans. Develop the model into the single source of truth, managing risks and uncertainty. The role holder must be adaptable, with the ability to make educated and reasonable assumptions on sometimes incomplete data sets.
- Responsible for managing the Group Waste Model and associated governance arrangements
- Responsible for developing and managing the work scope for model development with the supply chain.
- Responsible for managing the relationship with the supply chain provider and inventory data teams.
- Responsible for developing and managing a set of Group wide Waste Assumptions
- Critical thinker with problem solving skills and ability to analyse and interpret data
- Develop and prepare strategic documents, technical briefs, position papers, option studies and technical analysis to support and provide underpinning information for strategic options
- Provide system architectural oversight to any future strategic decision or modelling tools
- Be broad scanning- monitoring technological advances, utilising latest data and drive standardised approaches.
- Excellent data modelling skills
- Experience in mathematical modelling (spreadsheet and/or software) and model verification techniques
- Knowledge of nuclear waste inventories and technical areas
- Delivers through strong relationships, builds collaboration and integration across the organisation.
- Able to set and manage work scopes with a supply chain provider.
- Experience of managing waste model development in a nuclear context
- Degree in scientific/mathematics/computer science or relevant discipline or equivalent work experience (essential)
- MSc/PhD in scientific/mathematics/computer science or relevant discipline (desirable)
- Chartership in scientific/computer science/mathematics or equivalent professional qualification (desirable) Excellent IT literacy and demonstrable experience in knowledge of modelling systems, inventory systems or managing and interpreting data.
- On appointment to an RWM, full-time staff are entitled to a generous annual holiday allowance of 38 days’ annual leave. LLWR up to 43 days in addition to a buy/sell scheme
- Rewarding performance (bonus scheme)
- We offer a generous above average pension scheme
- learning and development support
- payment of relevant annual professional subscriptions
- Employee Assistance Programme
- Financial advice assistance
- Flexible working
- Extended family-friendly policies
- Cycle to work scheme
- We welcome flexible and agile working practices
- Flexible working requests can be submitted from day 1 of employment
We value the unique differences that each of our colleagues bring to work every day and are committed to creating an environment where everyone feels respected, included and able to perform at their best. We are committed to creating a workplace that is diverse and inclusive. We value the diversity of our people and actively seek to have a workforce that represents the rich diversity of the communities we support. Currently we are underrepresented in some areas, and would particularly welcome applicants from Women, Black, Asian and Ethnic Minorities, LGBTQ+ and candidates who have a disability.
In promoting equal opportunities, we welcomes applications from all sections of the community. We select people according to their abilities and our needs. As users of the disability confident scheme, we guarantee to interview all disabled applicants who meet all of the essential criteria for the vacancy. In cases where we have a high volume of disabled candidates who meet all of the essential criteria, we will interview the best candidates from within that group.