At a Glance
- Tasks: Lead simulation modelling and predictive analytics to drive data-driven decisions.
- Company: Join Nest, the UK's largest workplace pension scheme, committed to inclusivity.
- Benefits: Flexible working hours, hybrid model, and a supportive work environment.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact on retirement solutions while enhancing your technical skills.
- Qualifications: Expertise in simulation modelling, Python or R, and strong analytical skills required.
The predicted salary is between 60000 - 75000 £ per year.
The Modelling Manager role sits within the Modelling function of the Analytics team. You will deliver value for Nest by applying your technical modelling expertise, alongside strong communication and stakeholder management skills, to support evidence‑based decision‑making. This full‑time, permanent role offers a great opportunity to drive a step change in the value derived from data analysis and modelling during an exciting period of transformation at Nest.
A core focus will be the development and enhancement of a simulation model using AnyLogic, alongside contributing to a broader programme of technical modelling work. You will lead on technical ownership of the AnyLogic model and apply your experience in simulation modelling and Java to improve and enhance its impact across the business. The role also includes building predictive models to forecast financial and customer outcomes, as well as exploring wider macroeconomic, system‑based modelling across Nest and the pensions landscape. Knowledge of Python and R would be beneficial for the predictive and statistical aspects of the role.
You will support the team in migrating existing analytical work from legacy data systems to a new cloud‑based platform, adopting modern tools and ways of working in collaboration with delivery partners.
A key part of the team's work involves developing a deep understanding of data relating to members and employers within the Nest pension scheme, alongside understanding internal stakeholder needs.
Minimum Criteria:- Deep expertise in simulation modelling (ideally AnyLogic/Java) and strong system‑thinking capability to model complex environments.
- Proven experience applying a range of predictive and statistical modelling techniques (e.g. regression, forecasting, ML).
- Proficiency in Python or R and experience with SQL for data analysis, modelling, and data preparation.
- Experience deploying and operationalising models in production, ideally in cloud‑based environments.
- Strong problem‑solving, data wrangling, and analytical skills with attention to quality and best practice.
- Ability to communicate complex modelling outputs clearly and collaborate effectively with stakeholders.
The Data, Analytics & Customer Insight (DACI) Team is leading how we do it: putting our customers at the heart of our work and helping colleagues to understand and use our data. Our work enables Nest to continually learn, improve how we work, and create value so that we can deliver a better retirement for millions.
Department Overview:
- Analytics – taking data and creating value for the organisation, understanding our customer and our business; doing descriptive, predictive and prescriptive analysis and modelling to help Nest make decisions.
- Business Intelligence – delivering data visualisations to make Nest's data intuitive to understand.
- Data – planning and delivering how we manage high‑quality data as an enterprise, making it easy for BI, analysis and modelling to happen and be automated.
- Customer Insight – putting our customers at the heart, understanding their needs through empathy, research, surveys and digital insight.
Nest is an award‑winning workplace pension scheme, the largest in the country. Set up by the government to give every worker in the UK somewhere to save, our first‑class responsible investment practice and governance are the backbone of what we do, supported by all the functions you'd expect to find in a thriving business. We’re committed to creating a workplace where you can be your authentic self and offer an inclusive and flexible working environment.
Diversity, Equity and Inclusion
Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of their age, disability, gender identity, marital status, national origin, pregnancy or caring responsibilities, race, religion/belief, sex, sexual orientation or socio‑economic background. We also recognise the importance of diversity of thought and other forms of neurocognitive variation. Nest is a Disability Confident Leader, which is the highest level of the Disability Confident Scheme. If you have a disability, please declare that you’re applying through the scheme. We aim to offer an interview to those applicants who apply through the Disability Confident Scheme and best meet the minimum criteria. However, there may be some circumstances where this is not possible due to the volume of applications.
Please note that this advert may close early if we receive a sufficient number of satisfactory applications.
Modelling Manager - Simulation and Predictive Modelling employer: Nest
Nest is an exceptional employer, offering a dynamic and inclusive work environment in the heart of Canary Wharf, London. With a strong commitment to employee growth, flexible working arrangements, and a focus on diversity and inclusion, Nest empowers its team members to thrive while making a meaningful impact on the future of pensions in the UK. Join us to leverage your technical expertise in simulation and predictive modelling, and be part of a transformative journey that prioritises evidence-based decision-making and customer-centric solutions.
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We think you need these skills to ace Modelling Manager - Simulation and Predictive Modelling
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
