Senior Data Scientist: Forecasting & Modelling Pro

DatacenterDynamics Ltd.; Greater London; Sur place; GBP 65 000 - 110 000; Plein temps

Avantages offerts par ce poste

Competitive salary and bonus

25 days hols

Pension

Health cash plan

Life insurance

Income protection

Wellbeing budget + wellbeing line

Parental leave

Paid sick leave

Summer early finish Jul / Aug

Cycle to work

Snacks & Fruit

Social & Cultural events

Résumé du poste

DatacenterDynamics Ltd. is seeking a Data Scientist to join the forecasting team and develop the next generation of forecasting and analytical capabilities.

You will build a modular Python-based forecasting system using data inputs and assumptions to publish forecasts, while developing probabilistic models and Monte Carlo simulations to quantify uncertainty. You will collaborate with the Head of Forecasting & Data Modelling, researchers, and data engineers to ensure integrated data pipelines in

Qualifications

• Degree in a quantitative subject such as Statistics, Mathematics, Economics/Econometrics, Physics, Engineering or Computer Science.
• 5+ years' hands-on experience as a data scientist or quantitative analyst, with substantial forecasting or statistical modelling work.
• Strong Python for analysis and modelling: pandas, NumPy, Scikit-learn, SciPy, statsmodels.
• Solid statistical grounding: probability distributions, uncertainty quantification and Monte Carlo simulation, non-linear curve fitting.
• Good software engineering habits: modular code, Git, automated testing (e.g. pytest), reproducible workflows.

Responsabilités

• Design and build a comprehensive, modular and version-controlled forecasting system in Python, from data inputs through assumptions to published forecasts.
• Develop S-curve and other growth models, with parameter uncertainty.
• Develop data science, ML, and AI based predictive models to generate forecasting inputs from raw data, and statistically robust probabilistic scenarios, forecast ranges and risk analysis.
• Build probabilistic forecasts and Monte Carlo simulations to quantify uncertainty and test the sensitivity of results to key assumptions.
• Automate top-down and bottom-up reconciliation, so country, regional and global forecasts are coherent, and related forecasts are consistent with each other.
• Integrate proprietary quantitative and qualitative data, and expert input, to calibrate and validate the models.
• Build automated tests that catch errors, implausible values and internal contradictions in data, assumptions and outputs.
• Establish backtesting, forecast versioning and accuracy tracking, so every published forecast can be reproduced and evaluated.
• Explore AI-assisted research, such as automated monitoring and extraction of data center project news from press and industry sources.
• Work with our data and data engineering teams on data pipelines in Google Cloud Platform (BigQuery).
• Document methods clearly and help the research and commercial teams explain the forecasts to clients.

Connaissances

Python programming

Statistics

SQL

Teamwork

Communication

NLP/LLMs

BigQuery

Formation

Master's or PhD in a quantitative field

Degree in Statistics / Economics / CS

Outils

Git

pytest

NumPy/Pandas

Description du poste

DatacenterDynamics Ltd. is seeking a Data Scientist to join the forecasting team and develop the next generation of forecasting and analytical capabilities.

You will build a modular Python-based forecasting system using data inputs and assumptions to publish forecasts, while developing probabilistic models and Monte Carlo simulations to quantify uncertainty. You will collaborate with the Head of Forecasting & Data Modelling, researchers, and data engineers to ensure integrated data pipelines in