Senior Data Scientist - Advanced Analytics

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).