Introduction
We believe human progress will come from augmenting AI to the way we work. We help organisations scale results, not their headcount, with AI and automation. We achieve this through two core business areas: AI Readiness and AI Agents. If you want to get in on the ground floor of a fast-paced startup where your efforts have a direct impact on the success of our mission, we’d love to hear from you.
Role Summary
We are seeking a Data Scientist with expertise in data science and AI, especially Generative AI, at an enterprise level. You will contribute to the delivery and project management of end-to-end AI solutions, guide clients through their AI journey and collaborate closely with other data scientists and team members to drive measurable business impact.
This role aligns with our employee archetypes The Pathfinder. The Pathfinder carves the quickest route from idea to proof-of-concept, rapidly prototyping with Gen-AI toolchains, tests what works, and charts practical ways forward.
Responsibilities And Duties
Insight Translation
* AI leadership: Contribute to the development and execution of AI strategies to achieve business objectives and expand AI capabilities.
* Client recommendations: Translate insights from AI projects into actionable recommendations for clients.
* Research and innovation: Stay updated on industry trends, competitive landscape, and emerging technologies and share with wider team.
Change Enablement
* Project management: Supports the end-to-end project management and delivery for data science initiatives, including scoping, sizing and planning individual tasks and working under an agile delivery framework.
* Stakeholder management: Communicate with commercial and technical stakeholders to align expectations and report progress.
* Team work: Fosters a culture of learning and excellence, shares learnings and advocates best practices with peers.
* Work with ambiguity: Adapt to changing toolkits, models, and scopes, and volatile POCs and prototypes.
* Collaboration: Work closely with delivery teams and other areas such as marketing and sales to align AI efforts with overall business objectives.
AI Orchestration
* Solution architecture: Assist with the design of end-to-end AI systems that combine models, workflows, automation, and APIs.
* Use case delivery: Contributes to the development and deployment of AI initiatives that address real-world business needs.
* Prototyping: Rapidly develop and iterate on AI prototypes that demonstrate value and feasibility.
* Automation integration: Combine AI models with workflow automation and decision systems to streamline processes.
* Technical leadership: Contributes to the evaluation and selection of ML and GenAI models for high impact outcomes.
Technical Versatility
* Tool fluency: Build proficiency across AI/ML libraries, GenAI platforms, APIs, and deployment frameworks.
* Stack agility: Adapt quickly across cloud, open-source, and low-code/no-code toolchains to meet solution needs.
* Evolving landscape: Continuously research, evaluate new technologies and integrate promising tools into the delivery toolkit.
Engineering Mindset
* Data engineering: Contributes to the development and maintenance of data pipelines, data models, and machine learning solutions.
Ideal candidate
Skills & Experience
* Data science foundations: 3+ years of hands-on experience in data science or engineering roles.
* Technical proficiency: Comfortable with Python and SQL; familiarity with key libraries; interest in learning frameworks like LangChain.
* Data engineering: Experience with developing data models, and working with modern data stacks (e.g. dbt, Airflow, Snowflake, Databricks, cloud platforms).
Mindset & Capabilities
* Business storytelling and influence: Comfortable at explaining findings and complex ideas to both technical and non-technical stakeholders.
* Resilience, flexibility and agility: Demonstrated the ability to adapt to a rapidly changing industry, ambiguous working environment and shifting project scope.
* Creativity and systems thinking: Demonstrates the ability to draw on experience across projects and technical tools to solve assigned problems. Begins to connect ideas across domains and functions to deliver practical solutions.
* Curiosity and lifelong learning: Stays updated on trends in AI, enjoys experimenting with new tools and technologies and actively shares knowledge with peers.
Nice to haves or wanting to learn on the job
* Startup or Scaleup experience: Have experience working in a fast-paced startup or scaleup technology business.
* Retail experience: Have experience working in the Retail industry.
* Tools: Exposure to AI agent architectures.
Our culture and core values
As we are still in our early stages, we believe cultivating our culture and core values is going to be critical to the success of our business. Our core values are human progress, iterate quickly, further together, be dependable, and have fun. We are looking for individuals who are attracted to these values and wanting to help shape our culture as we grow.
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