wagey.ggwagey.ggv1.0-38ee235-5-May
Browse Tech JobsCompaniesFeaturesPricingFAQs
Log InGet Started Free
Jobs/Data Scientist Role/Valtech - Lead Data Scientist
Valtech

Valtech - Lead Data Scientist

London2w ago
In OfficeStaffEMEACloud ComputingArtificial IntelligenceData ScientistClient ConsultingPythonAWSAzureGCP

Upload My Resume

Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT

Apply in One Click
Apply in One Click

Requirements

• 5+ years of experience in Data Science or Analytics • Strong foundation in machine learning and predictive modelling • Exposure to Generative AI concepts (e.g. LLMs, RAG, fine-tuning, prompt engineering) • Strong programming skills in Python and SQL • Familiarity with cloud-based solutions (e.g. GCP, Azure, AWS) • Experience working with real-world, production data problems • Ability to communicate technical concepts clearly to non-technical stakeholders • Experience in consulting or client-facing environments • Hands-on experience designing and deploying Generative AI solutions, including Agentic AI systems. • Experience with MLOps practices and taking models into production environments • Exposure to modern data engineering practices and integration with data pipelines • Awareness of Responsible AI practices (bias, evaluation, safety) • If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. • Commitment to reaching all kinds of people • We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. • Your application process • Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. • ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. • We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. • Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. • At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. • At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. • Are you ready to create what’s next? Join us.

Responsibilities

• Data Science, AI & Delivery • Work with structured and unstructured data to support model development and analysis • Design and implement ML and AI solutions, including LLM-based and traditional approaches • Contribute to development and optimization of AI applications using established and emerging agentic patterns (e.g. tool use, orchestration, multi-step reasoning) • Contribute to deploying models and supporting them in production using engineering and MLOps best practices • Stay up to date with emerging AI techniques and experiment with new approaches, tools, and frameworks • Problem Scoping & Client Engagement • Translate business questions into clear data science approaches • Communicate results and insights to technical and non-technical stakeholders • Contribute to identifying opportunities where data science and AI can add value • Support project scoping and provide guidance to less experienced team members when needed

Get Started Free

No credit card. Takes 10 seconds.

Privacy·Terms··Contact·FAQ·Wagey on X