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  • Jon Davids Construction LTD
    Construction Worker
    Construction Worker
    28 days ago
    £15–£22 hourly
    Part-time
    Borehamwood

    Job Opportunity: Skilled Construction Worker We’re looking to bring a committed and experienced individual onto our growing team at Jon Davids Construction LTD About the Role: We're seeking a multi-skilled construction worker who brings experience, a strong work ethic, and a positive attitude. You should be someone who works well within a team, shows up on time, takes pride in their work, and is looking for long-term employment where they can grow and be part of something meaningful. What We’re Looking For: A well-rounded skill set in construction (e.g., carpentry, general building, groundwork, etc.) Proven experience in the construction industry Strong teamwork and communication skills Punctual, reliable, and trustworthy A good work ethic and attention to detail Someone who values long-term relationships and is looking to grow with the company About Us: We’re a family-run construction company with over 11 years in the industry, committed to delivering high-quality work and building lasting relationships with our clients. From start to finish, we help bring each project to life step by step—always with honesty, care, and a high standard of craftsmanship. If you’re someone who takes pride in their work and wants to be part of a company that values loyalty and quality, we’d love to hear from you.

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  • Nextvert
    Data Science intern
    Data Science intern
    2 months ago
    Part-time
    London

    Job Title: Data Science Intern Location: Work From Home (WFH) Indian students currently pursuing graduation (final-year preferred) Duration: [e.g., 1-3 Months] Start Date: [Mention Date or "Immediate Joiners Preferred"] About the Role: We are offering an exciting opportunity for freshers to kickstart their career as a Data Science Intern. This remote internship will provide hands-on experience in data analysis, machine learning, and working with real-world datasets. Key Responsibilities: Work on collecting, cleaning, and analyzing datasets. Perform exploratory data analysis and generate reports. Develop and test machine learning models. Present data insights and contribute to live projects. Collaborate with team members in a virtual environment. Eligibility: Qualification: Fresher (recent graduates or final-year students welcome). Education: Pursuing or completed a degree in Computer Science, Data Science, Statistics, or related fields.

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