DatacenterDynamics
Senior Data Scientist — Forecasting & Modelling
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About the Intelligence platform
DCD Intelligence is building the industry's most trusted source of data, forecasts and market intelligence for the global data center sector. Our platform combines proprietary research, exclusive industry relationships and advanced data analytics to deliver high-quality market intelligence for data center investors, operators, suppliers and advisors.
Our forecasts are underpinned by a rich base of proprietary data, both quantitative and qualitative, built from DCD's long-standing relationships across the industry. We also have direct access to industry experts, through our own research team and DCD's global community of operators, investors and suppliers.
We are now building a comprehensive forecasting system to turn that data and expertise into rigorous, transparent and reproducible forecasts.
The opportunity
We are looking for a Data Scientist to join our forecasting team and help us develop the next generation of forecasting and analytical capabilities.
Our team produces forecasts for the data center market, combining proprietary datasets, deep industry knowledge, and expert judgement to understand how the market is evolving and what it may look like in the future. We work across data, statistics, modelling, and market analysis, and are looking for someone who enjoys applying analytical and data science skills to real-world questions.
A key part of the role will be to create statistically robust and automated forecasting processes. You will have the opportunity to design and develop robust, scalable Python-based tools that make our forecasts more efficient, reproducible, and easier to enhance.
This is a broad role that could suit someone coming from a data science, forecasting, statistics, economics, analytics, or quantitative background. We're particularly interested in people who are curious, analytical, pragmatic, and keen to learn.
You will work closely with the Head of Forecasting & Data Modelling, our research team of industry experts, and the data engineering team. What you build will sit at the heart of a commercial product used by operators, investors and equipment manufacturers worldwide.
Key Responsibilities
- 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
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What you’ll bring to the role
Essential
- 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
- Strong SQL and experience working with data in a cloud warehouse
- Strong team working and communication skills
Desirable
- Master's or PhD in a quantitative field
- Probabilistic or Bayesian modelling (e.g. PyMC, NumPyro, Stan)
- Hierarchical forecast reconciliation or diffusion (S-curve, Bass) modelling
- Google Cloud Platform, particularly BigQuery
- Experience using LLMs or NLP to extract structured data from text
- Exposure to data centers, digital infrastructure, energy, cooling, semiconductors, telecoms, construction or related sectors
Our Culture
Meritocracy, Career Development, and Authenticity.
At our core, we champion a meritocratic culture that values talent, effort, and results. We believe in providing every team member with the tools, opportunities, and sense of belonging that allows you to grow professionally and personally. By prioritising career development, we empower our people to take ownership of their paths, ensuring that hard work and ambition translate into meaningful progression. We continuously invest in our people, providing opportunities to learn, develop, and grow within the business. With 30%+ of our vacancies filled internally last year, this shows that we prioritise internal growth and promotion. Whatever your role, you’ll be part of a hardworking and dedicated team that actively contributes to our vision—and makes a real difference.
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Our Values
At DCD, our values define how we work together and make decisions. They shape how we support one another and interact with our customers every day. We live by the I ACT values - because how we show up matters.
Impact
We take accountability for our actions and their effect on others and the business. We embrace a growth mindset, seek feedback, and strive for continuous improvement.
Authenticity
We act with integrity, respect, and honesty. We communicate openly and align our actions with our values, even in challenging situations.
Commitment
We’re customer-focused, proactive, and passionate about what we do. We take initiative, go beyond expectations, and demonstrate resilience and perseverance in the face of challenges.
Togetherness
We value meritocracy and inclusivity, ensuring every voice is heard. We collaborate freely, share knowledge, and work towards common goals, recognising the greater impact we can have as a team.
Our values reflect our identity as a company and what we stand for.
Our Vision
Disrupting B2B Media with Client-Centric Innovation that aligns marketing and sales teams
At InfraXmedia, our vision is clear: to redefine B2B media by becoming a true extension of our clients’ teams, delivering real-time, attributable results that drive their success. We’re setting a new standard by aligning our innovative strategies with client goals, ensuring our work generates measurable impact. We are proud of our people’s dedication to this vision—94% of our team expressed a deep commitment to our future in our latest engagement survey. Together, we are disrupting traditional approaches to B2B media by combining our unique media and industry insights with a partnership-first mindset. By joining InftraXmedia, you’ll contribute to this ambitious vision, working in an environment that values your input and empowers you to make a meaningful difference.
What we offer
- Competitive salary and bonus
- 25 days hols
- Pension (UK only)
- Private Medical Insurance (Both Madrid & UK) + Medicash (UK only)
- Life insurance
- Income protection
- Hybrid working
- Wellbeing budget + wellbeing assistance line
- Parental leave
- Paid sick leave
- Volunteering day
- Celebration day
- Training & development
- Summer early finish Jul / Aug
- Cycle to work
- Snacks & Fruit
- Social & Cultural events through the year
Equal opportunities
We are proud to be an equal opportunity employer and we encourage applications from everyone. If you have a disability or special need that requires accommodation, please let us know and we will do everything we can to accommodate.
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