Bryden Wood
Analyst/Modeller - New Process Technologies
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About the Role
Bryden Wood's analytical work sits at the interface of technology, engineering and strategic investment decision-making — and it is one of the things that most clearly differentiates us from conventional engineering consultancies.
SAINT (Systemisation for the Acceleration of the Introduction of New Technologies) is Bryden Wood’s most rapidly growing and intellectually distinctive business unit, carrying out early-stage capital project design and due diligence studies for leading companies in life sciences, green energy and chemicals, and nuclear.
We are looking for someone who brings rigorous, credible analysis and modelling — and external reference points — to a function that is growing rapidly, and who is as comfortable in a client conversation as in a spreadsheet.
Key Responsibilities
- Develop and interrogate quantitative models to support early-stage investment decisions, drawing on whichever analytical techniques the question demands — statistical, economic, or simulation-based
- Build facility capacity models to support plant sizing, throughput analysis, and investment phasing decisions
- Conduct market analysis and technology landscape assessments to inform strategic positioning and investment rationale
- Where relevant, develop techno-economic models for new process technologies — assessing capital costs, operating costs, and economic viability across scenarios
- Develop logistics and supply chain models relevant to process facility design and operation
- Work closely with systems chemical engineers and architects to integrate analytical insight into broader study deliverables
- Contribute to the development of SAINT's analytical methods, tools, and templates
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Technical Skills and Knowledge
Essential
- Established track record of analysis and modelling work within the life sciences, energy, chemicals, or related process industries
- Strong proficiency in Excel for modelling and Python for data analysis and automation
- Ability to communicate quantitative analysis clearly — translating model outputs into strategic insight for non-technical audiences
- Comfort working in early-stage, ambiguous environments
- External reference points from outside the immediate team are essential — we are looking for someone who brings perspective the function does not currently have
Desirable
- Techno-economic or financial modelling experience relevant to capital investment decisions
- Experience in early-stage capital project analysis — feasibility, FEL, or pre-FEED studies
- Familiarity with PowerBI or Tableau for data visualisation
- Knowledge of green chemistry, energy transition technologies, or pharmaceutical manufacturing economics
- Experience working with US clients or in the US market
- Exposure to discrete event simulation or logistics modelling
The Kind of Person Who Thrives in SAINT
- Intellectual curiosity that connects quantitative analysis to the engineering and commercial reality behind the numbers
- Comfort with ambiguity — able to build useful models with incomplete information and be honest about their limitations
- Collaborative instinct — works well alongside engineers, architects, and clients rather than in isolation
- Rigour and honesty — produces analysis that can be challenged and defended, not just presented
- Directness — communicates findings clearly and does not dress up uncertainty as confidence
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Qualifications and Experience
- Degree in data science, mathematics, a physical or life science, or an engineering discipline. The specific field matters less than the ability to build rigorous quantitative models and apply them to complex process and investment decisions
- Sufficient post-qualification experience to bring genuine external reference points — ideally from a big pharma engineering function, tier-one EPC, or management consultancy with capital project analytics experience
Career Development and Progression
SAINT is growing rapidly and the team is genuinely collaborative — which means real opportunities to take on growing responsibilities, shape your own role, and influence the group's direction and capabilities. There are many experienced people in the team who are willing to support the professional development of self-motivated colleagues.
Assessment and Calibration
To be developed. A formal assessment and calibration framework is in preparation.
Equality, Diversity and Inclusion
Bryden Wood is committed to equality, diversity and inclusion in our workplace and in the way we recruit. We welcome applications from all suitably qualified candidates regardless of age, disability, ethnicity, gender, gender identity, religion or belief, sexual orientation, or any other protected characteristic. We are particularly committed to building diverse teams and strongly encourage applications from those who are underrepresented in engineering and design.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location