Project Brains
Solution Architecture Specialist (Energy Trading)

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Solution Architect (Energy Pricing Data & AI/ML)
Part-Time Contract: 2 days/week
International Tech Services Co
Location: London, UK (Hybrid)
Working Hours: 2 days per week
Role Summary
International Tech Services Co is seeking a part-time Solution Architect with strong energy-sector knowledge and hands-on experience shaping and delivering pricing data initiatives, with exposure to AI/ML-enabled use cases. You will translate business objectives into implementable solution designs, align stakeholders across business and technology, and drive architecture decisions that accelerate delivery while protecting quality and measurable outcomes.
Key Responsibilities
- Lead solution discovery to clarify business goals, scope, constraints, dependencies, and success metrics for energy pricing data and AI/ML initiatives.
- Define end-to-end solution architecture across data sourcing, processing, modelling, integration, and consumption (analytics and AI/ML use cases).
- Translate business needs into clear architectural decisions, patterns, and technical requirements that delivery teams can execute against.
- Produce concise, high-quality architecture artefacts as needed (e.g., high-level design, target state, context and data flow diagrams, interface and integration notes, non-functional requirements).
- Partner with pricing domain stakeholders to align on definitions, data expectations, governance requirements, and adoption outcomes across oil, power, and gas contexts.
- Collaborate with data engineering and platform teams to ensure feasibility, scalability, security, and operational readiness of the proposed solution.
- Support AI/ML initiatives by shaping practical use cases, defining data inputs/outputs, documenting assumptions, and aligning on acceptance criteria and value measurement.
- Facilitate architecture and alignment workshops, driving clear decisions, ownership, and follow-through in a hybrid, multi-stakeholder environment.
- Communicate effectively with both technical and non-technical audiences, translating technical trade-offs into commercial impact and delivery implications.
- Demonstrate value quickly by unblocking delivery early through clarity, alignment, and decision-making that reduces ambiguity and rework.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt 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.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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.
Must-Have Qualifications
- 3+ years of experience in solution architecture, technical architecture, or a senior BA/technical analyst role with clear architecture ownership.
- Proven experience delivering energy pricing data initiatives (e.g., pricing data models, feeds, definitions, reporting/analytics enablement, data quality).
- Energy sector domain knowledge across oil, power, and/or gas pricing contexts.
- Exposure to AI/ML projects (e.g., shaping model-enabled use cases, data readiness, requirements, stakeholder alignment).
- Strong stakeholder management skills with the ability to establish credibility across business and engineering teams.
- Excellent documentation and facilitation skills, producing clear, structured artefacts and driving decisions in working sessions.
Nice-to-Have Qualifications
- Experience working with modern data platforms and analytics stacks in cross-functional delivery teams.
- Familiarity with data governance concepts (definitions, lineage, quality controls, stewardship).
- Consulting or client-facing delivery experience in fast-moving environments.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
What Success Looks Like
- You build trust quickly through strong domain understanding, pragmatic technical judgement, and crisp communication.
- Stakeholders align faster because decisions are documented, trade-offs are explicit, and ambiguity is reduced.
- Delivery teams move faster because architecture guidance and requirements are clear, testable, and actionable.
- Pricing data and AI/ML work remains grounded in practical, value-led outcomes with measurable success criteria.
- Rework cycles reduce because solution design anticipates constraints, dependencies, and operational needs early.
Selection Criteria (How We Will Evaluate)
- Depth of energy pricing domain expertise and ability to apply it to real delivery scenarios.
- Quality and pragmatism of solution architecture outputs (clarity, completeness, feasibility, and decision-making).
- Effectiveness in stakeholder alignment, facilitation, and driving outcomes in a hybrid environment.
- Ability to translate business objectives into implementable technical designs that accelerate delivery.
- Practical AI/ML exposure and ability to shape feasible, value-driven use cases.
- Pace to productivity and ability to deliver visible impact within the first days and weeks.
Equal Opportunity
International Tech Services Co is an equal opportunity employer. We welcome applications from all qualified candidates and make hiring decisions without regard to background, identity, or personal characteristics.
Contact Information:
Please get in touch on info@projectbrains.io
“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