Data Scientist Jobs in Ireland with Visa Sponsorship

Arup
    Published
    June 9, 2024
    Location
    50 Ringsend Rd, Dublin, D04 T6X0, IrelandArup, Dublin, Ireland
    Category
    Job Type

    Description

    Job Overview with Visa Sponsorship

    Are you a talented and analytical Data Scientist looking for an exciting career opportunity in Ireland? Join our team and explore rewarding Data Scientist job opportunities with Visa sponsorship for eligible candidates. As a Data Scientist, you will leverage your expertise in data analysis and machine learning to drive insights and innovation for our organization.

    Job Details:

    • Employer Name: Arup
    • Position: Data Scientist
    • No of Vacancies: 1
    • Salary: £35.00 hourly / 20 to 40 hours per week
    • Employment Type: Full-time,  Part-time
    • Location: Ireland

    Education

    • No degree certificate or diploma

    Experience

    • 3 years to less than 5 years

    Job Responsibilities

    As a Data Scientist, your responsibilities will include, but are not limited to:

    • Collecting, cleaning, and analyzing large datasets to uncover valuable insights
    • Developing and implementing machine learning models and algorithms
    • Collaborating with cross-functional teams to solve complex business problems
    • Communicating findings and data-driven recommendations to stakeholders
    • Contributing to data-driven decision-making processes
    • Staying up-to-date with the latest trends and technologies in data science

    Qualifications/Skills

    To excel in this role, you should possess the following qualifications and skills:

    • Strong proficiency in data analysis and statistical modeling
    • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
    • Proficiency in programming languages such as Python or R
    • Excellent problem-solving and analytical abilities
    • Effective communication and teamwork skills
    • Previous experience in data science or related roles is preferred

    Education and Experience Requirements

    • Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field
    • Previous experience in data analysis and machine learning is advantageous
    • Strong portfolio showcasing data science projects and accomplishments
    • Certifications in data science or related areas are a plus

    Working Environments

    Data Scientists in Ireland work in a dynamic and innovative environment where data-driven decision-making is at the forefront. You'll have access to cutting-edge tools and technologies to support your work.

    Benefits

    • Competitive hourly wage ranging from £15.00 to £35.00
    • Visa sponsorship for eligible candidates
    • Ongoing training and professional development in data science
    • Opportunities for career advancement within the data science field
    • Supportive team environment fostering innovation and collaboration
    • Health and wellness benefits

    Salary

    The hourly wage for Data Scientist positions ranges from £15.00 to £35.00, depending on experience, qualifications, and the complexity of data science tasks.

    FAQ

    Q: Is previous data science experience required?

    A: Previous data science experience is preferred, but we value candidates with a strong foundation in data analysis and machine learning.

    Q: What programming languages and tools are essential for this role?

    A: Proficiency in Python, R, and machine learning frameworks is beneficial for this role.

    Q: Are there opportunities for career growth in data science?

    A: Yes, we offer opportunities for career advancement and ongoing professional development within the data science field.

    Conclusions

    Join our team of skilled Data Scientists in Ireland and make a significant impact on our organization's data-driven initiatives. With Visa sponsorship and competitive hourly rates, you can have a rewarding career in data science while contributing to our data-driven success. Apply today and be part of our journey towards data-driven excellence!

    Apply
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