We use cookies to provide the essential functionality of the website and its advanced features, to analyse traffic and to improve our services to you, and to provide personalised content to you.
By clicking ‘Accept All’ you agree to these. You can change your selection at any time under the ‘Cookie Settings’ link on the page.
You can read more about our cookies in our Cookie Policy
Cookie Settings
We use cookies to provide the essential functionality of the website and its advanced features, to analyse traffic and to improve our services to you, and to provide personalised content to you.
By clicking ‘Accept’ you agree to these. You can read more about our cookies in our Cookie Policy
These cookies are essential to the functionality of thebigjobsite.com
When you log in to the Internet Site the Company will set a cookie containing a randomly generated unique reference number. This anonymous number allows the Company to identify you. The Company will never store your personal information directly as a cookie. A persistent cookie will be set, persistent cookies are not deleted when you close your browser, and will allow the Internet Site to recognise you on your next visit.
Name
Expiration
Description
ATTBCookie*
2 years
These cookies are used to remember a user’s choice about cookies on thebigjobsite.com. Where users have previously indicated a preference, that user’s preference will be stored in these cookies.
last-search
search
redirect-stage
original-keyword
1 day
Session
1 hour
1 hour
These cookies are used by thebigjobsite.com to pass search data between our own pages.
datadome
1 year
DataDome is a cybersecurity solution to detect bot activity
jjap
1 days
Used to track if you have seen the Job Alerts prompt. Job Alerts is a service you can subscribe to to receive information about new jobs.
Advanced features of the site use Cookies to provide information you requested and to reduce you having to key in repeated fields.
Name
Expiration
Description
attb-loc
3 months
Stores your location information so that we can pre-populate search fields to find jobs near you.
Analytic cookies allow the Company to see how the Internet Site is being used. This information forms the basis of future development work, and so enables the Company to continually improve its Internet Site to best suit its users.
Name
Expiration
Description
__gads
_ga
_ga_JH3TWMTYRK
_gat_gtag_UA_1462011_9
_gcl_au
_gid
_uetsid
_uetvid
13 months
2 years
2 years
1 minute
90 days
24 hours
1 day
16 days
Google Analytics: For purposes of analytics, your UserID may be tracked and sent to Google Analytics after you register for one of our services such as Job Alerts. After you register, your registered session may be stitched together with your original, unauthenticated session. This allows longer-term tracking to help us monitor the effectiveness of our marketing campaigns. No personally identifiable information, or data that permanently identifies your device, is sent along with your tracking IDs.
Create Email Alert
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
Email address is already registered
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Would you like to [visit your alert settings] now?
Success! You're now signed up for Job Alerts
Get ready to discover your next great opportunity.
Senior Physical Climate Risk Modeller
£50-60k
Cambridge/hybrid
We are recruiting for our specialist tech start up clients, with a clear mission statement; you will be joining a business who are using their product to assist some of the biggest global brands in their pathway to become Net Zero.
We are looking for a Senior Risk Modeller to join o
Job Description Are you at that stage of your environmental career where you are ready to work more independently, and be responsible for providing direct support to clients from initial contact, through to successful completion? Then you are definitely someone who we’d love to join our team.
We are seeking diligent Environmental Consultants/
Senior Modelling Engineer
St. Neots, Cambridgeshire - Permanent
We are expanding our modelling team, led by our Principal Modelling Engineer at our head office in St Neots, looking for technical excellence delivering crucial elements of a large, state-of-the-art, System-of-Systems project.
You will help design, implement, test and support new ca
Principal Modelling Engineer
St. Neots, Cambridgeshire - Permanent
We are expanding our modelling team at our head office in St Neots, looking for leadership and technical excellence delivering crucial elements of a large, state-of-the-art, System-of-Systems project.
You will help design, implement, test and support new capability with the oppor
This role will be part of the environmental analytics team based in Cambridge and will
Support in the development of a suite of environmental and risk models.
You will be part of a talented team of modelers, economists, data scientists, and software engineers wrangling with complex datasets, conducting analytics and building rigorous models to hel
Are you an experienced Environmental Advisor? Are you looking for your next contract role? Would you like to work on a large interesting civil engineering scheme? If so, we have got just the role for you!
Our client has an exciting opportunity for an Environmental Advisor to join their team in the Cambridgeshire area. As the Environmental Advisor,
Climate and Nature Risk Analyst
£35-42k
Cambridge/hybrid
We are recruiting for our specialist tech start up clients, with a clear mission statement; you will be joining a business who are using their product to assist some of the biggest global brands in their pathway to becoming Net Zero.
We are looking for two new climate and nature risk analysts
Senior Modelling Engineer - St Neots (PE19) - Perm
We are expanding an existing team led by our Engineering Manager at our office in Lincoln. You will help design, implement, and support new capability as part of a team. You will have opportunity to take part in both domestic and international trials of your teams’ outputs, while working with both
Job Source: MASS
Environmental Risk Modeller
Cambridge
£ 34000 - 42000/annum doe + benefits
Apply your environmental science and modelling expertise to climate impact
Changes in climate patterns and natural environments represent a risk to future economic stability. As companies adapt their plans to mitigate these risk and reduce their own environmental impact, numerical modelling can help them make the right decisions. This established company are building on a successful history of applying mathematical modelling to environmental and economics scenarios. With their continued growth, a new opportunity has arisen for a bright Environmental Risk Modeller to join their team.
You will work with large and complex data sets, primarily focussed on modelling climate risks, quantifying impacts, deriving insights, and presenting results visually to stakeholders. Your expertise in modelling and environmental science will allow you to become a go-to person for these topics, and you will be a key contributor to the future evolution of the modelling suite.
You will need:
• A 1st or 2.1 degree in a relevant numerate discipline (at minimum a bachelor’s, but preferably a higher degree), plus mostly A*s and As at A-level (or equivalent)
• A strong understanding of climatology or other environmental sciences along with proven experience in applying mathematical modelling or data science techniques to those areas
• Ability to evaluate climate models outputs and published datasets to produce customised analytics