Software Mind
Information Technology And Services
[GBL]ProductDataScientist-6-monthproject
Neural analysis suggests this role is
optimal for mid candidates.
“[GBL] Product Data Scientist - 6-month project at Software Mind. Skills: Product Data Science, Statistical reasoning, Experimentation, Data storytelling. Drive analytical lifecycle. Define metrics”
What You'll Achieve.
Shape strategy; Move fast; Scale output; Focus energy on high-value problems
Industry & Context.
Statistical reasoning; Analytical tasks
What They're Looking For.
Must Have
Extensive experience in analytical role, Fluency in SQL, Experience with dbt, Hands-on experience with BI tools, Experiment design skills, Statistical reasoning skills
Nice to Have
Product-led environment experience, Digitally native environment experience, Python or R scripting language experience, Lightdash experience, Looker experience, Tableau experience, AI tools integration experience
What You'll Do.
Drive analytical lifecycle
Translate business problems
Build culture of iteration
Create self-serve dashboards
Use AI-assisted workflows
Champion data practices
How You'll Work.
Team & Collaboration
Product Managers; Engineers; Senior Leaders; Data team
Communication Scope
Data-led story; Stakeholder presentations
Full Job Description
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment. Project – the aim you’ll have We’re looking for experienced Product Data Scientists to join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. You'll be embedded as the analytical backbone of your pillar, acting as a strategic consultant to product, engineering, and commercial teams. That means blending rigorous statistical thinking with sharp commercial judgement, knowing when to run a full experiment and when a well-reasoned analysis is enough to move fast. You'll use AI tools and automation intelligently to work at pace, scale your output, and focus your energy where human judgement matters most. Position – how you’ll contribute * From hypothesis to recommendation, you drive the full analytical lifecycle in your pillar. You define the right metrics, build the right models and make sure your insights land, not just in a deck, but in decisions * Work shoulder-to-shoulder with Product Managers, Engineers, and Senior Leaders to shape strategy. You'll translate ambiguous business problems into clear analytical tasks and bring a point of view, not just a chart * Lead experimentation across your pillar, designing tests, sizing opportunities, interpreting results, and building a culture of evidence-based iteration * Create self-serve dashboards and data tools that empower your teams to answer their own questions. Define and standardise metrics so everyone's working from the same source of truth *
Applying for this [GBL] Product Data Scientist - 6-month project role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Software Mind?
Real rants from real employees. Read before you apply.