Principal Data Scientist

Valtech Edinburgh, Scotland, United Kingdom

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OverviewAs a

Principal Data Scientist , you bring a wealth of commercial experience applying data science to solve complex business challenges. You are equally comfortable designing predictive models, exploring emerging technologies, and explaining data science concepts to non-technical stakeholders. With a consulting mindset, you know how to uncover business value, shape opportunities in pre-sales, and guide clients through successful data science adoption.

What You Will Thrive In This Role If You Are

A curious problem solver who challenges the status quo

Comfortable bridging the gap between technical data science and client business needs

Passionate about innovation and exploring “what’s next” in AI and ML

Experienced in working within Agile methodologies and consultancy environments

Committed to mentoring and developing data scientists in our team

Role Responsibilities

Lead the design and development of advanced predictive and traditional ML models

Provide technical guidance to teams and clients, ensuring best practices in ML development and deployment

Contribute expertise in ML Ops, supporting clients as they take models into production environments

Ensure delivery quality and technical excellence across all phases of an AI/ML project

Stay at the forefront of new data science and AI trends

Evaluate and experiment with emerging techniques, tools, and frameworks

Help clients understand the real-world business value of innovation in data science

Represent Valtech externally through conference speaking, publishing white papers, and blogging

Act as a trusted advisor to senior business and technical stakeholders

Collaborate in pre-sales alongside Valtech’s business development teams, shaping data science opportunities and proposals

Translate complex data science concepts into clear, compelling narratives for non-technical audiences

Run workshops and discovery sessions with clients to identify high-impact data opportunities

Must-have Qualifications

Extensive experience delivering AI/ML systems with proven commercial impact

Strong background in predictive modelling, statistical techniques, and Machine Learning

Demonstrated consulting experience - able to present and influence at senior levels

Ability to explain complex data science concepts in simple, business-focused language

Strong communication, collaboration, and client-facing skills

Appetite for continuous learning and innovation

Knowledge of Generative AI models and techniques (e.g. LLMs, transformer architecture, RAG)

Upper-intermediate English level

Nice-to-have Qualifications

Hands-on experience designing and deploying Generative AI solutions, including Agentic AI systems

Familiarity with cloud-based data science platforms (AWS Sagemaker, GCP Vertex AI, Azure ML)

Experience with MLOps practices and taking models into production environments

Exposure to modern data engineering practices and integration with data pipelines

Pre-sales experience, including proposal writing and solution shaping

Familiarity with promoting responsible and ethical AI practices, including data governance, transparency, and fairness in model development

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting

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