Senior Data Scientist

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 Senior Data Scientist with expertise in data science and AI, especially Generative AI, at an enterprise level. You will support the design, delivery and project management of end-to-end AI solutions, guide clients through their AI journey and collaborate closely with cross-functional teams to drive measurable business impact. While this position is primarily an individual contributor role, you will mentor junior team members and influence technical direction across projects.

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: Support 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 to inform AI strategies.

Change Enablement

• Project management: Owns end-to-end project management and delivery for data science initiatives, including scoping, planning, stakeholder communication, and delivery of outcomes aligned to business objectives.

• Stakeholder management: Engage with commercial and technical stakeholders, to align expectations and report progress.

• Team leadership: Support and mentor junior data scientists, fostering a culture of learning and excellence. Provide technical leadership on specific domains.

• Work with ambiguity: Adapt to changing toolkits, models, and scopes, and manage volatile POCs and prototypes.

• Collaboration: Work closely with the sales, marketing, product, and delivery teams to align AI efforts with overall business objectives.

AI Orchestration

• Solution architecture: Support the design of end-to-end AI systems that combine models, workflows, automation, and APIs.

• Use case delivery: Support 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: Support the evaluation and selection of ML and GenAI models for high impact outcomes.

Technical Versatility

• Tool fluency: Demonstrate 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: Designs, builds, and maintains scalable data pipelines, robust data models, and production-grade AI/ML solutions.

Ideal candidate

Skills & Experience

• Data science foundations: 5+ years of hands-on experience in data science roles.

• Technical proficiency: Proficient in Python, R, SQL; experience with frameworks like TensorFlow, PyTorch, LangChain.

• Engineering experience: Proven experience in developing data models and working with modern data stacks (e.g., dbt, Airflow, Snowflake, Databricks, cloud platforms).

• Systems design: Proven ability to implement AI/ML application workflows by orchestrating multiple tools, APIs, and models.

Mindset & Capabilities

• Business storytelling and influence: Experienced 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: Exhibited the capacity to integrate knowledge from diverse industries, functions, and technical disciplines to effectively address assigned tasks.

• 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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