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 Scientist, analytical backbone, strategic consultant, rigorous statistical thinking, sharp commercial judgement, AI tools and automation, analytical lifecycle, metrics, models, insights, experimentation, data-led story, statistical reasoning. drive the full analytical lifecycle in your pillar. define the right metrics”
What You'll Achieve.
make sure your insights land, not just in a deck, but in decisions; building a culture of evidence-based iteration; everyone's working from the same source of truth
Industry & Context.
translate ambiguous business problems into clear analytical tasks; high-value analytical problems
6-month project
What They're Looking For.
Must Have
Extensive experience in an analytical role, Fluency in SQL, at least one scripting language (Python or R), experience with dbt Is essential, experiment design and statistical reasoning skills
Nice to Have
product-led or digitally native environment, Hands-on experience with BI tools such as Lightdash, Looker, or Tableau, A track record of influencing decisions, Comfort working across teams and managing multiple priorities without losing rigour, Genuine curiosity about user behaviour and a drive to understand the why behind the data, An openness to integrating AI tools into your workflow and a mindset for continuous improvement
What You'll Do.
drive the full analytical lifecycle in your pillar
define the right metrics
build the right models
make sure your insights land
Work shoulder-to-shoulder with Product Managers
and Senior Leaders to shape strategy
translate ambiguous business problems into clear analytical tasks
Lead experimentation across your pillar
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
Use AI-assisted workflows
from code generation to automated reporting
to accelerate your output and spend more time on the high-value analytical problems that require your expertise
Document your work in our Insights Hub
champion consistent data practices
actively share learnings across the data team
How You'll Work.
Team & Collaboration
Work shoulder-to-shoulder with Product Managers, Engineers, and Senior Leaders to shape strategy; Comfort working across teams
Communication Scope
tell a compelling, data-led story to stakeholders at all levels
Process & Methodology
managing multiple priorities
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 *
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