Senior Data Scientist - Advanced Analytics

About the role

Who We Are Singulier is a strategy and transformation consulting firm working with private equity funds and their portfolio companies on high-impact digital, data and AI topics. We help investment funds, CEOs and leadership teams answer critical strategic questions and drive transformation with a pragmatic, hands-on approach. Unlike traditional consulting firms, we do not stop at recommendations: we work alongside our clients to design, build and implement solutions that create measurable impact. Founded in 2017, Singulier has grown rapidly and now brings together ~80 professionals across Paris, London and Munich, combining expertise in strategy consulting, data, digital marketing, product and technology. The Role At Singulier, our Senior Data Scientists / Analysts turn complex data into the models that underpin our clients' strategic decisions. You are the technical owner of advanced analytics on our engagements - designing, building and validating the models, and making their results legible to senior, non-technical audiences, including C-level executives and PE operating partners. Customer and value analytics is the core of what we do, but the role is not limited to it: you will also tackle broader advanced-analytics questions, for example supply chain, demand planning and operational performance, including in industrial settings. You work hand in hand with our consultants: they frame the business question, you bring the methodological depth to answer it rigorously. You care as much about the robustness of a model as about whether its output actually changes a decision - we value pragmatic, business-oriented work over purely academic or research-focused approaches. What You'll Do Design, build and validate advanced models - customer & value segmentation, propensity and churn scoring, uplift, LTV and pricing, as well as demand forecasting, supply chain and operational optimization Own the analytical methodology on engagements and guarantee statistical robustness Dive into raw client data: explore large, complex and sometimes messy datasets to understand how to extract value from the data Work hands-on with data: conduct data transformation, feature engineering and modelling in Python and SQL to build analytics-ready datasets Translate model outputs into clear, executive-ready findings and co-present to C-level stakeholders and investment funds Build and orchestrate AI agents to automate and scale recurring, repeatable analyses Write clean, reusable, well-documented code and contribute to the practice's analytical toolkits and standardised analyses Prepare models and specifications for industrialisation, in handover to our Graphite data engineering team Act as the data science referent of the practice, supporting and upskilling consultants and analysts Explore and bring in new methods and AI / GenAI techniques where they add real value Our Stack We like experimenting with new technologies, but our core stack currently includes: 🧰 Databricks (Python / Pyspark) 🌐 Google Cloud Platform ✨ N8N for AI agent workflows Who You Are You are a data scientist or data analyst who combines genuine methodological depth with the ability to operate in a fast-paced consulting environment and engage senior business stakeholders. You are pragmatic and business-oriented: you optimise for decisions made, not for model complexity. You likely have: a degree from a top-tier engineering, data science or statistics school - e.g. Polytechnique, ENSAE, CentraleSupélec, Mines or Télécom in France (or a leading business school with a strong quantitative/data specialization), or an equivalent top international institution (Imperial, ETH/EPFL, MIT, Oxford/Cambridge, etc.) around 3 to 6 years of experience in data science or advanced analytics, ideally with part of it in consulting, private equity or client-facing environments strong command of Python and SQL, and experience processing data at scale (Pyspark / Databricks) solid applied machine learning and statistics (segmentation/clustering, scoring, uplift, forecasting, optimization) some experience building or using AI agents / GenAI workflows to automate analytical tasks (or a strong interest in doing so) the ability to synthesize and present technical work to non-technical, senior audiences fluency in English; French strongly preferred Most of our work is customer-led, but a genuine interest in broader advanced analytics (operations, supply chain, demand planning) is a real plus, as is experience in private equity environments or transformation projects. Why Join Singulier Own the modelling behind high-stakes strategic decisions, not isolated technical tickets Work across a genuinely varied set of topics - from customer analytics to supply chain and operations Combine deep data science with direct exposure to CEOs, investors and leadership teams - rare in pure analytics roles Join a fast-growing, entrepreneurial firm and grow quickly in a high-responsibility environment Shape the an