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).