About the Role

Every major enterprise procurement deal — a mining company locking in steel supply, a manufacturer negotiating energy contracts, a retailer securing food commodities — lives or dies on one question: what will this cost six months from now?

Today, that question is answered with spreadsheets, gut instinct, and analyst reports written days after markets have already moved. Billions of dollars in value are left on the table because procurement teams are flying blind on price.

At Monq, we're building AI agents that negotiate high-value enterprise contracts — and we're expanding what that platform can do. The next frontier is price intelligence: giving procurement teams the foresight to know what a deal should cost before they even sit down to negotiate. That's what you'll build.

Ready to build the intelligence layer that changes how enterprises negotiate? Let's get in touch.

What You'll Be Doing

Price Intelligence and Forecasting:

• Build multivariate commodity price prediction models from scratch across energy, metals, agricultural inputs, and industrial materials

• Own the full modelling lifecycle — feature engineering, model selection, validation strategy, uncertainty quantification, production deployment

• Design forecasting architectures beyond the obvious — Gaussian processes, gradient-boosted ensembles, neural state-space models, or hybrid symbolic-statistical approaches

• Integrate alternative data sources: satellite imagery, shipping data, weather signals, procurement index feeds, news sentiment

• Shape how predictions become decisions — translate probabilistic outputs into something a procurement professional can act on in a live negotiation

• Bridge research and engineering to ship production-grade systems — work in close collaboration with our engineering team to take research from notebook to production

ML Skills We're Looking For:

This role sits at the intersection of classical econometrics and modern machine learning. You should be genuinely strong across most of the following:

• Supervised & Ensemble Methods — gradient-boosted trees (XGBoost, LightGBM, CatBoost) for tabular forecasting; strong intuition for regularisation, hyperparameter tuning, and avoiding leakage in time series cross-validation

• Deep Learning for Sequences — hands-on experience with temporal architectures including LSTMs, GRUs, Temporal Fusion Transformers, N-BEATS, or similar

• Probabilistic & Bayesian Modelling — comfort with probabilistic forecasting: quantile regression, conformal prediction, Monte Carlo dropout, or full Bayesian inference via PyMC or NumPyro

• Feature Engineering at Scale — lag features, rolling statistics, Fourier transforms for seasonality decomposition, target encoding with temporal leakage guards

• Model Evaluation & Validation — walk-forward validation, purged k-fold cross-validation, backtesting under realistic execution constraints

• MLOps & Productionisation — experiment tracking (MLflow, W&B), model versioning, feature stores, drift detection, and retraining triggers

• Explainability & Interpretability — SHAP values, partial dependence plots, and the ability to explain model behaviour to procurement professionals who need to trust and act on predictions

The Stack:

• You'll have significant input into tooling choices: experiment tracking, feature stores, deployment infrastructure

• We ship on AWS and are building the MLOps layer on the go — you'll help define it

• We use Cursor and Claude Code as part of the daily workflow, not as a novelty

What You'll Need

Essential Experience:

• 6+ years of experience in applied data science or quantitative research, with a strong track record in forecasting or time series modelling in production environments

• Experience in commodity, energy, or financial market price prediction — you understand basis risk, seasonality, mean-reversion, and regime shifts

• Fluent in multivariate modelling: VAR/VECM, Bayesian hierarchical models, factor models, LSTM/transformer-based temporal architectures

• Rigorous about uncertainty — you know the difference between epistemic and aleatoric uncertainty and build that into how you communicate predictions to stakeholders

• Comfortable working with messy, heterogeneous, real-world data — incomplete time series, mixed frequencies, structural breaks

• Can write production-quality Python and deploy models in a way that engineers can actually build on

• Care about impact, not just accuracy metrics — a model that moves a negotiation outcome is worth more than one that wins a Kaggle leaderboard

Nice to Have

• Experience with causal inference methods applied to market dynamics (synthetic control, difference-in-differences, IV)

• Familiarity with procurement indices (PPI, ISM, commodity spot/futures markets) and how to incorporate forward curve data

• Experience building real-time or near-real-time inference pipelines at scale

• Background in operations research or supply chain optimisation

• Exposure to LLMs as signal sources — extracting structured market intelligence from unstructured text

• Ongoing PhD or track record of published research in a relevant field

Compensation and Benefits

At Monq, we recognise that we're building category-defining technology in a massive market. We offer:

Competitive Package:

• Significant equity stake — play a real part in Monq's potential to capture a $4.2T market

• Bi-annual performance bonuses tied to successful pilot deployments and customer outcomes

Work Environment:

• Remote-first with quarterly team gatherings

• Direct collaboration with Fortune 500 procurement teams

• Annual team retreat — fully-funded off-site focused on AI innovation and team building

Career Growth:

• Visa sponsorship available for exceptional candidates who complete our recruitment process

• Opportunity to define the future of AI-powered enterprise negotiations

• Direct mentorship from experienced AI researchers and enterprise software veterans

Others:

• No HR organisation

• Minimum 30 days of annual leave and a day off in the month of your birthday

• Flexible working hours as long as we get the things done

• Temporary work from abroad up to 120 days a year (certain limitations apply depending on your nationality/work authorisation status and tax obligations)

Our Interview Process

We run a focused interview process designed for senior data science talent:

Screening Call (30 minutes):

• Discussion of your data science background and forecasting experience

• Overview of Monq's price intelligence challenges and the scope of the role

• Alignment on career goals and role expectations

Technical Assessment — Home Task and Debrief (45 minutes):

• Take-home task: given a real-world commodity dataset, design a forecasting approach — covering model selection, validation strategy, uncertainty quantification, and how you'd communicate the output to a procurement team

• Walk through your approach with Monq's data and engineering team

• Discussion of your modelling decisions and tradeoffs

Problem Solving Interview (45 minutes):

• A live scenario based on a real forecasting challenge Monq has encountered — a regime shift in a commodity market, an unreliable data source, or a stakeholder who doesn't trust the model

• Assessment of how you diagnose the problem, adapt your approach, and communicate under uncertainty

• Discussion of the most technically demanding forecasting project you have personally owned end to end

Bar Raiser Interview and On-site Collaboration (half a day):

• Deep technical conversation with one of Monq's co-founders on the most complex modelling problem you have solved and what you would do differently

• Working session with Monq's data and engineering teams on a current price intelligence challenge

• Meeting with procurement domain experts to understand how predictions feed into live negotiation decisions

• Assessment of your ability to operate at the intersection of rigorous research and production-grade engineering

About Monq

Monq is building the first AI platform specifically designed for strategic procurement negotiation. We're creating a blue ocean in a $4.2 trillion market that has been ignored by existing AI solutions. Our team brings together deep technical expertise in AI with proven experience in enterprise software and procurement.

We're backed by forward-thinking investors who understand the massive opportunity in applying advanced AI to high-value B2B negotiations. With several major enterprises joining us, we're positioned to become the category-defining platform for AI-powered procurement. We are founded and backed by Revolut and HSBC executives.

We're a small, flat team. We use AI tools not as a novelty but because they make us better and faster. We value simplicity, ownership, and shipping — and we're looking for people who hold themselves to high standards while staying pragmatic about what matters right now.

Why This Matters: Every 1% improvement in strategic procurement represents a $42 billion market impact. We're not just building software — we're creating the future of how businesses negotiate their most critical deals.

Equal Opportunities Statement

Monq is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010.

We actively encourage applications from people with diverse backgrounds and experiences to join this multicultural, ambitious team.

Accommodations for Applicants with Disabilities

Monq is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly at recruitment@monq.io.

Important Notice for Candidates

Job scams are on the rise, and fraudsters sometimes impersonate companies like Monq to target applicants. Please keep these guidelines in mind when applying for any of our open roles:

• Apply only through official Monq channels. We post roles solely on our own careers page and verified partner job boards such as LinkedIn. We don't use third-party agents or platforms to manage our recruitment, and we'll never contact you about a role you didn't apply for.

• Verify every email. All genuine communication from our team comes from an official @monq.io address. Check the sender's full address carefully — lookalike domains (extra letters, swapped characters, or free email providers like Gmail or Outlook) are a red flag.

• We will never ask for money or financial details. Monq does not request payment, equipment fees, or personal financial information (bank details, card numbers, deposits) at any stage of the hiring process. Any such request is a scam.

• When in doubt, confirm. If something feels off, pause and verify directly with us before responding or sharing any information.

If you receive a suspicious message claiming to be from Monq, please don't reply or click any links. Report it to us at security@monq.io and, where relevant, to your local authorities.

Additional Information for Candidates Based in Poland

Salary
Poland: PLN 20,300 – PLN 45,800 gross monthly*
Other locations: Compensation will be discussed during the interview process

*Final compensation will be determined based on the candidate's qualifications, skills, and previous experience

The salary range stated in this advertisement (or disclosed during the recruitment process) is provided solely to comply with the pay transparency obligations under the Polish Labour Code, implementing Directive (EU) 2023/970. It is for information purposes only and does not constitute an offer within the meaning of Article 66 of the Polish Civil Code, nor any binding commitment to employ the candidate or to pay a specific amount. The final remuneration will be determined individually on the basis of the candidate's qualifications and experience and the outcome of the recruitment process, and will be set out in the employment contract or other agreement concluded between the parties. The employer reserves the right to adjust the range during recruitment as further information is obtained.

Widełki wynagrodzenia wskazane w niniejszym ogłoszeniu (lub przekazane w toku procesu rekrutacji) podawane są wyłącznie w celu realizacji obowiązków w zakresie jawności wynagrodzeń wynikających z Kodeksu pracy, wdrażających dyrektywę (UE) 2023/970. Mają one charakter wyłącznie informacyjny i nie stanowią oferty w rozumieniu art. 66 Kodeksu cywilnego ani jakiegokolwiek wiążącego zobowiązania do zatrudnienia kandydata lub wypłaty określonej kwoty. Ostateczna wysokość wynagrodzenia zostanie ustalona indywidualnie, w oparciu o kwalifikacje i doświadczenie kandydata oraz wynik procesu rekrutacji, i zostanie określona w umowie o pracę lub innej umowie zawartej pomiędzy stronami. Pracodawca zastrzega sobie prawo do korekty widełek w toku rekrutacji w miarę pozyskiwania dodatkowych informacji.

Consent Declaration (Required for Candidates Based in Poland): If you are based in Poland, please include the signed Consent Declaration below in your CV before submitting your application.

"On the basis of Article 7(1) GDPR, I declare that I consent to the processing by the controller, Monq Ltd, of my personal data for the purpose of carrying out the recruitment procedure for the position covered by the recruitment process.
The above consent has been given freely in accordance with Article 4(11) GDPR.

................................................……
(date and signature of the job candidate)

In accordance with Article 13(1) and (2) of Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) (OJ EU L 119, 2016, p. 1) – hereinafter "GDPR" – I hereby inform you that:

The controller of your personal data is Monq Ltd, a company registered in England and Wales under number 16635718, with its registered office at 167-169 Great Portland Street, London, England, W1W 5PF, email address: privacy@monq.io.

The controller has not appointed a data protection officer. For all matters relating to the processing of personal data, you may contact the controller at the email address: privacy@monq.io.

Your personal data will be processed for the purpose of carrying out the recruitment process for the above-mentioned position on the basis of Article 6(1)(a) GDPR, that is, on the basis of your freely given consent.

Your personal data may be transferred to the United Kingdom, where the controller has its registered office. By decision of 19 December 2025, the European Commission determined that the United Kingdom ensures an adequate level of protection of personal data (an adequacy decision issued under Article 45 GDPR, valid until 27 December 2031). The transfer of data therefore takes place on the basis of that decision. Your data will not be transferred to any other third country or international organisation.

Your personal data will be stored until the completion of the recruitment process.

You have the right to access your data and the right to rectify, erase, or restrict its processing, the right to data portability, the right to object, and the right to withdraw your consent to its processing at any time without affecting the lawfulness of processing carried out on the basis of consent before its withdrawal.

A declaration of withdrawal of consent to the processing of personal data must be submitted in written or electronic form to the controller's email address: privacy@monq.io.

You have the right to lodge a complaint with the President of the Personal Data Protection Office (Prezes Urzędu Ochrony Danych Osobowych) if you consider that the processing of personal data concerning you infringes the provisions of the GDPR.

The provision of your personal data is voluntary but necessary for the purposes connected with carrying out the recruitment process for the above-mentioned position.

Your data will not be processed in an automated manner, including in the form of profiling."

"Na podstawie art. 7 ust. 1 RODO oświadczam, iż wyrażam zgodę na przetwarzanie przez administratora, którym jest Monq Ltd, moich danych osobowych w celu przeprowadzenia procedury rekrutacji na stanowisko objęte procedurą rekrutacyjną.
Powyższa zgoda została wyrażona dobrowolnie zgodnie z art. 4 pkt 11 RODO.

................................................……
(data i podpis kandydata do pracy)

Zgodnie z art. 13 ust. 1 i 2 rozporządzenia Parlamentu Europejskiego i Rady (UE) 2016/679 z 27.04.2016 r. w sprawie ochrony osób fizycznych w związku z przetwarzaniem danych osobowych i w sprawie swobodnego przepływu takich danych oraz uchylenia dyrektywy 95/46/WE – ogólne rozporządzenie o ochronie danych (Dz.U. UE. L. z 2016 r. Nr 119 str. 1) – dalej RODO, informuję, iż:

Administratorem Pani/Pana danych osobowych jest Monq Ltd, spółka zarejestrowana w Anglii i Walii pod numerem 16635718, z siedzibą pod adresem 167-169 Great Portland Street, Londyn, Anglia, W1W 5PF, adres e-mail: privacy@monq.io.

Administrator nie wyznaczył inspektora ochrony danych. We wszelkich sprawach dotyczących przetwarzania danych osobowych można kontaktować się z administratorem pod adresem e-mail: privacy@monq.io.

Pani/Pana dane osobowe przetwarzane będą w celu przeprowadzenia procesu rekrutacji na ww. stanowisko na podstawie art. 6 ust. 1 lit. a RODO, na podstawie Pani/Pana dobrowolnej zgody.

Pani/Pana dane osobowe mogą być przekazywane do Wielkiej Brytanii, w której administrator ma siedzibę. Komisja Europejska decyzją z dnia 19 grudnia 2025 r. uznała, że Wielka Brytania zapewnia odpowiedni stopień ochrony danych osobowych (decyzja stwierdzająca odpowiedni stopień ochrony wydana na podstawie art. 45 GDPR, obowiązująca do 27 grudnia 2031 r.). Przekazanie danych odbywa się zatem na podstawie tej decyzji. Pani/Pana dane nie będą przekazywane do innych państw trzecich ani organizacji międzynarodowych.

Pani/Pana dane osobowe będą przechowywane do czasu zakończenia procesu rekrutacji.

Posiada Pani/Pan prawo dostępu do treści swoich danych oraz prawo ich sprostowania, usunięcia, ograniczenia przetwarzania, prawo do przenoszenia danych, prawo wniesienia sprzeciwu, prawo do cofnięcia zgody na ich przetwarzanie w dowolnym momencie bez wpływu na zgodność z prawem przetwarzania, którego dokonano na podstawie zgody wyrażonej przed jej cofnięciem.

Oświadczenie o cofnięciu zgody na przetwarzanie danych osobowych wymaga jego złożenia w formie pisemnej lub elektronicznej na adres e-mail administratora: privacy@monq.io.

Ma Pani/Pan prawo wniesienia skargi do Prezesa Urzędu Ochrony Danych Osobowych, gdy uzna Pani/Pan, iż przetwarzanie danych osobowych Pani/Pana dotyczących narusza przepisy RODO.

Podanie przez Panią/Pana danych osobowych jest dobrowolne, ale konieczne dla celów związanych z przeprowadzeniem procesu rekrutacji na wyżej wskazane stanowisko.

Pani/Pana dane nie będą przetwarzane w sposób zautomatyzowany, w tym również w formie profilowania."