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Gender
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Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
- Design and deliver Artificial Intelligence solutions for Network Functions Virtualisation (NFV).
- Translate complex network datasets into strategic insights and scalable analytical capabilities.
- Develop machine learning and AI models to improve network planning, optimisation, and performance.
- Identify emerging analytics trends and opportunities to drive innovation across network domains.
- Discover and evaluate new data sources and technologies to enhance data discovery and insight generation.
- Analyse large-scale structured and unstructured datasets in both batch and real-time environments to uncover hidden relationships.
- Collaborate closely with design, development, and support teams to proactively and reactively provide data-driven insights for product evolution and issue resolution.
- Applying AI and machine learning to real-world, high-impact network challenges.
- Advanced techniques in large-scale data processing and real-time analytics.
- Cross-functional collaboration within network, digital, and OSS domains.
- Driving innovation through emerging analytics trends and technologies.
Desired Candidate Profile
- An experienced data science professional with hands-on expertise in deploying machine learning models at scale.
- Confident working with extremely large volumes of structured and unstructured data in multi-tenant big data environments.
- Skilled in integrating, linking, and combining multiple datasets to generate new insights.
- Experienced with data visualisation tools such as Tableau, Qlik Sense, CartoDB, deck.gl, or MapBox.
- Technically proficient in the Hadoop ecosystem (including Spark, Hive/Impala, HBase, and Yarn), with exposure to cloud platforms such as AWS, GCP, or Azure.
- Comfortable programming in languages and tools such as Python, R, Java, SQL, NoSQL, TensorFlow, Keras, and related analytics frameworks.
- Fluent in English, with the ability to communicate complex insights clearly to technical and non-technical audiences.
- Experience with reinforcement learning or LSTM models is considered an advantage.
Company Industry
- Telecom
- ISP
Department / Functional Area
- IT Software
Keywords
- Senior Networks Data Scientist (VOIS)
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