Modelling Manager - Simulation and Predictive Modelling

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London/Hybrid

Competitive

Permanent

Not Specified

37.5 Working Hours - (Flexible)

06 Jul 2026

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Modelling Manager - Simulation and Predictive Modelling

*Please note we only accept online applications.*

Role Overview

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 model 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.

If you enjoy tackling complex analytical challenges, building models, and delivering high‑quality outputs that influence decisions, we encourage you to apply.

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

Don't worry if you think you don't have all the key skills, it might be worth taking the few minutes to apply as we're good at spotting potential. At Nest, you’ll have access to a range of learning opportunities to learn, grow and build the skills you need to be successful in your role and career.

Please download a full job description to find a full scope, deliverables, experience and personal attributes required for this role.

Flexible and agile working

Everyone's personal situation is different.

To make the most out of hybrid working, we've introduced different ways of working, which include (subject to role requirements):

hybrid of office (Canary Wharf, London) and home working (there will be an expectation to attend the office, once - twice a week, or more, as required)
reduce or vary working hours
reduce or vary the days worked
work compressed hours
job share

Click here to see the benefits we offer at Nest.

For more information about our recruitment process click here

Directorate/Department Overview

Nest is undergoing a transformation to use its data and insight to drive decision making. 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.

The department includes:

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. This team comprises of a modelling function and a customer behaviour analytics function.
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.

Organisational Overview

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.

If you have any difficulty in sending your application or need the application pack in an alternative format, or you require any reasonable adjustments please contact: [email protected].

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