# Senior Data Scientist - Advanced Analytics > Singulier · Paris, France (Hybrid) · Full-time · Posted 2026-06-10 **Workplace:** hybrid ## Description ### 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 ## Requirements ### 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. ## Benefits ### 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 analytical methods and toolkits of a growing data practice  ### Location  Based in Paris with a hybrid working model (3–4 days/week in the office). ## Apply [Apply at Singulier](https://apply.workable.com/singulier/j/CE50A4B753/apply) --- Powered by [Workable](https://www.workable.com)