AI & Data Consultant

Xcede; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid working

Job summary

Xcede is recruiting a Data & AI Consultant for a family office-backed investment group. You will own analytics, data infrastructure and AI-driven value creation across portfolio companies, collaborating with CEOs, CFOs and CMOs to identify where data can move the needle commercially and then deliver it.

Role spans analytics, modelling and dashboards to AI-driven products, with greenfield opportunities and diverse data maturity levels.

Qualifications

• Strong foundation in Python and SQL
• Experience building models for real commercial use cases (propensity, clustering, regression)
• Comfortable with PySpark, Databricks, Tableau or Power BI
• Track record translating technical work for non-technical, senior stakeholders
• Genuine curiosity and adaptability with new AI tools
• Comfortable operating with ambiguity and building structure where it doesn't exist

Responsibilities

• Own analytics, data infrastructure and AI-driven value creation across the group's portfolio
• Work with CEOs, CFOs, CMOs and teams to translate data work into commercial impact
• Build and deliver analytics, modelling and dashboards across varying data maturities
• Collaborate with offshore data and automation team to align day-to-day work with portfolio strategy
• Influence stakeholders through communication and commercial judgement

Skills

Python

SQL

Modeling for commercial use

PySpark

Databricks

Tableau

Power BI

Stakeholder communication

C-suite exposure

Adaptability

Tools

Tableau

Power BI

Job description

We're recruiting on behalf of a family office-backed investment group, spanning private equity, M&A advisory and outsourced finance, with a portfolio of UK businesses ranging from a listed consumer brand through to smaller, high-growth acquisitions. The group takes a genuinely hands-on approach to value creation, working closely with the leadership teams of the businesses it invests in rather than sitting at arm's length, and is now investing seriously in data and AI as a core lever for growth across the portfolio.

What the role involves

We're hiring a Data & AI Consultant to take ownership of analytics, data infrastructure and AI-driven value creation across the group's portfolio companies. You'll work directly with the leadership of each business, including CEOs, CFOs, CMOs and their teams, to understand where data and AI can genuinely move the needle commercially, then build and deliver it.

This spans everything from analytics, modelling and dashboards through to increasingly sophisticated AI-driven products, across businesses at very different stages of data maturity. Some have well-established infrastructure, others are still working largely from spreadsheets. It's a genuinely greenfield opportunity in places, with real scope to set the playbook for how AI gets adopted across the group over the next few years, rather than inheriting a fixed roadmap.

You'll also work closely with an offshore data and automation team, helping shape how their day-to-day work plugs into the broader portfolio strategy.

Given the seniority of the stakeholders involved, this is as much a role about influence, communication and commercial judgement as it is technical depth.

What we're looking for

• Strong foundation in Python and SQL
• Experience building models for real commercial use cases (e.g. propensity, clustering, regression)
• Comfortable working with tools like PySpark, Databricks, Tableau or Power BI (nice to have, not essential, since the group uses a mix across its businesses)
• A track record of translating technical work for non-technical, senior stakeholders, ideally including direct exposure to C-suite level conversations
• Genuine curiosity and adaptability when it comes to new AI tools is important, more so than existing AI-specific experience. This isn't a role that requires deep GenAI expertise on day one, but someone who's genuinely interested in how AI can be applied to real business problems and keen to learn as the space develops
• Comfortable operating with a fair amount of ambiguity, and building structure where it doesn't yet exist

This role is based in London, with a hybrid working pattern.