Data Scientist
hace 10 horas
Contract length: 9 months with extensionsLocation: RemoteRole OverviewThe Senior Data Scientist will support a global data transformation programme focused on improving data quality, discoverability, and monetisation within an industrial spare parts and eCommerce environment. The role combines advanced analytics, machine learning, and business consulting, working closely with technical and non technical stakeholders.Key ResponsibilitiesCollaborate with product owners, engineers, and analysts to identify data driven opportunitiesDesign, build, and deploy machine learning models including classification, clustering, fuzzy matching, and recommendation systemsApply NLP and LLM techniques such as prompt engineering, fine tuning, and embedding based searchConduct discovery sessions to understand business processes, data models, and stakeholder needsTranslate business requirements into scalable and measurable data science solutionsSupport eCommerce initiatives including intelligent search, personalisation, and upsellingParticipate in agile ceremonies, technical reviews, and stakeholder demonstrationsSkills required3+ years of experience in Python-based data science, including ML modeling and NLP.Proficiency in SQL (e.g., querying Snowflake data warehouse).Excel (for validating results with business).PowerBI or similar BI tools (for descriptive and diagnostic analysis).Data processing in Python, including applying business rules and logic.ML techniques such as classification, clustering, fuzzy matching, and embeddings.LLMs (e.g., OpenAI, HuggingFace), including prompt engineering and fine-tuning.Vector search tools (e.g., FAISS, Pinecone, Weaviate).Cloud platforms (Azure, AWS, GCP), version control (Git), and containerization (Docker).Confident communicator with experience working directly with business stakeholdersExperience acting as a bridge between business and technical teamsKnowledge of eCommerce, search, or recommendation systemsExposure to industrial, engineering, or asset heavy domains #J-18808-Ljbffr
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