Data Science Internship

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    Company NameBP
    Company TypeNGO
    Job TypeInternship
    Salary RangeMarket Competitive
    LocationLondon, United Kingdom
    QualificationsNone / No Formal Education
    ExperienceNo Experience / Fresh

    Job Overview

    BP is offering an exciting Data Science Internship in London, United Kingdom. This internship is designed to provide hands-on experience in the field of data science, working on real-world projects and contributing to innovative solutions within the energy sector.

    Company Overview

    BP is a global energy company with a significant presence in the oil, gas, and renewable energy sectors. Headquartered in London, BP is committed to delivering energy in a safe, efficient, and environmentally responsible manner. The company focuses on driving innovation and sustainability in the energy industry.

    Quick Details

    • Salary Range: Market Competitive
    • Job Type: Internship
    • Qualifications: None
    • Experience: No Experience / Fresh

    Key Responsibilities

    • Assist in the collection, cleaning, and analysis of large datasets.
    • Apply statistical and machine learning techniques to extract insights from data.
    • Develop and implement data-driven solutions to business problems.
    • Collaborate with cross-functional teams to understand data requirements and business objectives.
    • Present findings and recommendations to stakeholders through clear visualizations and reports.

    Requirements

    • Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field.
    • Strong analytical and problem-solving skills.
    • Proficiency in programming languages such as Python or R.
    • Familiarity with machine learning algorithms and statistical modeling.
    • Excellent communication and teamwork abilities.

    Benefits

    • Gain practical experience in data science within the energy industry.
    • Work on challenging projects with experienced data scientists and engineers.
    • Develop skills in data analysis, machine learning, and data visualization.
    • Receive mentorship and guidance to support professional growth.
    • Opportunity to network with industry professionals.

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