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
Our Data & Strategy Consultants work directly with investment funds, CEOs and leadership teams to solve high-stakes business problems through data. You work alongside senior consultants on that same track: you help structure the problem, run the analyses that answer it, and turn the results into clear recommendations — taking growing ownership of your workstreams as you progress.
This is a consulting role with strong hands-on analytics, not a back-office analyst role. We value structured problem solving and business sense as much as technical skill. You will work across due diligences and transformation projects, supported by senior consultants and data scientists, and we value pragmatic, business-oriented thinking and the curiosity to learn fast.
What You’ll Do
- Help structure and scope analytical workstreams, breaking ambiguous business questions into clear approaches
- Run the analyses that answer them — hands-on with Python and SQL on customer, commercial and operational data
- Draw out the “so what”: identify trends, performance drivers and growth opportunities, and contribute to findings and recommendations
- Build clear, executive-ready slides, dataviz and dashboards
- Contribute to standardised analyses (market & competition, consumer insights, digital performance)
- Work alongside consultants, data scientists and digital specialists across due diligences and transformation projects
- Take growing ownership of your workstreams — structuring, synthesis, client communication
- Experiment with new analytical and AI-powered tools to improve the team’s productivity
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 combine genuine analytical and coding ability with a consultant’s mindset: structured, curious about business, and keen to turn analysis into decisions.
You likely have:
- a degree from a top-tier business or engineering school with a data or quantitative specialization — e.g. HEC, ESSEC, ESCP, Polytechnique, CentraleSupélec, Mines or ENSAE in France, or an equivalent leading international institution
- around 12 to 24 months of professional experience (a first permanent role / CDI) in strategy or data consulting, analytics, or a business-oriented data role
- strong structured problem-solving skills and the ability to break down ambiguous business questions
- solid command of Python and SQL on real datasets
- clear communication and comfort building executive-ready presentations
- a real interest in business and strategy, and the drive to grow into an autonomous, client-facing consultant
- fluency in English; French strongly preferred
A first exposure to consulting, private equity or client-facing environments is a strong plus.
Benefits
Why Join Singulier
- Work on high-impact strategy projects at the intersection of business, data and AI
- Be supported by senior consultants and data scientists and grow quickly into an autonomous, client-facing consultant
- Get real exposure to client problems, due diligences and senior stakeholders
- Join a fast-growing, entrepreneurial firm with high responsibility and a collaborative culture
- Work with talented, multidisciplinary teams across strategy, data, product and technology
Location
Based in Paris with a hybrid working model (3–4 days/week in the office).