Principal Data Scientist

Overview
Valtech – Manchester, England, United KingdomPrincipal Data Scientist
role at
ValtechLocation: Manchester, United Kingdom. Employment type: Full-time. Seniority: Mid-Senior level.The Role
As 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.You Will Thrive In This Role If You Are
A curious problem solver who challenges the status quoComfortable bridging the gap between technical data science and client business needsPassionate about innovation and exploring “what’s next” in AI and MLExperienced in working within Agile methodologies and consultancy environmentsCommitted to mentoring and developing data scientists in our teamRole Responsibilities
Lead the design and development of advanced predictive and traditional ML modelsProvide technical guidance to teams and clients, ensuring best practices in ML development and deploymentContribute expertise in ML Ops, supporting clients as they take models into production environmentsEnsure delivery quality and technical excellence across all phases of an AI/ML projectInnovation and Thought Leadership
Stay at the forefront of new data science and AI trendsEvaluate and experiment with emerging techniques, tools, and frameworksHelp clients understand the real-world business value of innovation in data scienceRepresent Valtech externally through conference speaking, publishing white papers, and bloggingClient Engagement and Consulting
Act as a trusted advisor to senior business and technical stakeholdersCollaborate in pre-sales alongside Valtech’s business development teams, shaping data science opportunities and proposalsTranslate complex data science concepts into clear, compelling narratives for non-technical audiencesRun workshops and discovery sessions with clients to identify high-impact data opportunitiesMust-have Qualifications
Extensive experience delivering AI/ML systems with proven commercial impactStrong background in predictive modelling, statistical techniques, and Machine LearningDemonstrated consulting experience - able to present and influence at senior levelsAbility to explain complex data science concepts in simple, business-focused languageStrong communication, collaboration, and client-facing skillsAppetite for continuous learning and innovationKnowledge of Generative AI models and techniques (e.g. LLMs, transformer architecture, RAG)Upper-intermediate English levelNice-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 environmentsExposure to modern data engineering practices and integration with data pipelinesPre-sales experience, including proposal writing and solution shapingFamiliarity with promoting responsible and ethical AI practices, including data governance, transparency, and fairness in model developmentSeniority level
Mid-Senior levelEmployment type
Full-timeJob function
Engineering and Information TechnologyIndustries
IT Services and IT Consulting
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