Business Data Science Manager

Job description

Overview We built this role and then laughed at ourselves a little. Still meant every word of it This role asks for hands-on data science chops (Python, ML, real statistical modeling) AND genuine commercial fluency (trade ROI, margin analysis, retailer P&Ls). That combination is genuinely rare, and we're not going to pretend otherwise. If you don't hit every single bullet below, apply anyway. We'd rather talk to someone brilliant with an unconventional path than pass on the right person because their resume doesn't tick every box. What you're walking into: Here's the honest version: you'd be the second dedicated data scientist in our commercial org. The data infrastructure is a work in progress — Microsoft Fabric, D365, and a taxonomy that's still being built. Plan for 6–12 months of plumbing before the elegant modeling takes center stage. If that sounds exciting — building something real from scratch, with real ownership — keep reading. If you need a mature stack on day one, this probably isn't your spot. What you get in return: genuine autonomy, exposure to the CEO and CFO, models that actually ship, and a director who will geek out on code with you. Oh, and a team with a lot of...