Roll | Data Scientist |
Kompetensområde | Data/IT |
Startdatum | 2024-10-01 |
Slutdatum | 2025-04-30 |
Omfattning | 100% |
Ort | Stockholm |
Land | Sweden |
Sista svarsdatum | 2024-09-23 (Offerter kommer att behandlas löpande) |
Kontaktperson | Marie Lundin (marie.lundin@keyman.se | 076-1081079) |
Referensnummer | #11920 |
Övergripande uppdragsbeskrivning
Project description
Application of AI and ML to business use-cases and building technical AI Service foundation.
The role is based out of NCC HQ at Herrjärva torg 4, Solna Stockholm.
Role description (what to do)
As a Data Scientist in the AI Service team, you will help pioneer the adoption of Generative AI and Machine Learning at NCC. You will contribute to extending the capabilities of the existing analytics platform to handle more advanced use-cases, and leverage these capabilities to tackle business use-cases from end-to-end.
– Develop and evaluate proof of concepts for new applications, and bring the most promising cases to a production-ready state
– Assist in creating a target architecture for a modern and scalable AI platform built in Microsoft Azure
– Develop the foundation necessary to handle AI use-cases at scale, including cloud infrastructure, data pipelines, and CI/CD, in collaboration with the existing Business Analytics team
– Work with identifying new use-cases and helping stakeholders with specifying demands
English and Swedish
Academic degree in computer science, engineering, mathematics or related fields
Need to have:
Experience applying and evaluating machine learning methods to real-world problems
Understanding of the most common patterns of applying Large Language Models
Experience working with data in Python
Experience working with cloud providers such as Microsoft Azure, Amazon Web Services or Google Cloud Platform.
Experience working with databases, data warehouses, data lakes or similar
Nice to have:
Experience working with foundation LLMs, for example using the OpenAI API
Experience with AI-powered search such as vector search or Azure AI Search
Experience in web frontend development using tools such as Streamlit or React
Experience using Docker or similar tools
Experience working with Databricks
Experience with CI/CD pipelines and DevOps
Experience with SQL
Skallkrav
Fluent in English and Swedish
Academic degree in computer science, engineering, mathematics or related fields
Experience applying and evaluating machine learning methods to real-world problems
Understanding of the most common patterns of applying Large Language Models
Experience working with data in Python
Experience working with cloud providers such as Microsoft Azure, Amazon Web Services or Google Cloud Platform.
Experience working with databases, data warehouses, data lakes or similar
Börkrav
Experience working with foundation LLMs, for example using the OpenAI API
Experience with AI-powered search such as vector search or Azure AI Search
Experience in web frontend development using tools such as Streamlit or React
Experience using Docker or similar tools
Experience working with Databricks
Experience with CI/CD pipelines and DevOps
Experience with SQL
Övriga krav
Bifoga CV på engelska i Wordformat under fliken Dokument. CV:t är en viktig del i utvärderingen av konsulten. Det ska tydligt visa att konsulten har den kompetens och erfarenhet som efterfrågas för det aktuella uppdraget.
Offert för detta uppdrag måste skickas in via KeySourcingTool. Svar via mail kommer att få begränsad feedback.
Leverantören intygar att konsult- och ansvarsförsäkring finns som täcker denna typ av uppdrag enligt branschstandard.
Personliga egenskaper
Able to take main responsibility, lead and drive assignments within relevant area
High level of independency
Övrig information
All text in the offer and CV must be in English.
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