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    Data Science Engineer - United Kingdom - Geopaq Logic Inc

    Geopaq Logic Inc
    Geopaq Logic Inc United Kingdom

    3 weeks ago

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    Description

    2 weeks ago Be among the first 25 applicants

    Job Title: Data Science Engineer (Azure, AKS)

    Location: Reading, London

    Contract

    Position Overview: As a Data Science Engineer at [Company Name], you willplay a crucial rolein developing and deploying advanced data science solutions within the Azure environment. Leveraging your expertise in Azure Kubernetes Service (AKS) and data science techniques, you will collaborate with cross-functional teams to build scalable, high-performance data science applications and models.

    Key Responsibilities:

    • Design, develop, and deploy data science solutions within the Azure ecosystem, utilizing AKS for container orchestration.
    • Work closely with data scientists, engineers, and stakeholders to understand and translate project requirements into technical solutions.
    • Implement data pipelines for collecting, processing, and transforming large volumes of data using Azure Data Services (e.g., Azure Data Factory, Azure Databricks).
    • Build and optimize machine learning models using Azure Machine Learning Service, ensuring scalability, reliability, and performance.
    • Collaborate with DevOps teams to automate model deployment, monitoring, and management processes.
    • Continuously evaluate and integrate new tools, technologies, and best practices to enhance the data science infrastructure and workflows.
    • Provide technical guidance and support to junior team members, fostering a culture of knowledge sharing and continuous learning.

    Qualifications:

    • Qualification in Computer Science, Data Science, Engineering, or a related field.
    • Proven experience working as a Data Engineer, Data Scientist, or similar role,with a focuson developing data science solutions in the Azure environment.
    • Hands-on experience with containerization technologies (e.g., Docker, Kubernetes) and deploying models in production environments.
    • Proficiency in programming languages such as Python, R,SQL, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
    • Excellent problem-solving skills and the ability to work effectively in a fast-paced, dynamic environment.
    • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

    Preferred Qualifications:

    • Experience with other cloud platforms (e.g., AWS, Google Cloud Platform) is a plus.
    • Knowledge of big data technologies and frameworks (e.g., Hadoop, Spark) is desirable.
    • Relevant certifications in Azure or data science are a plus.

    Seniority level

    • Seniority level

      Entry level

    Employment type

    • Employment type

      Contract

    Job function

    • Job function

      Information Technology

    • Industries

      IT Services and IT Consulting

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