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Ai/Ml Data Scientist Volunteer (Open For Students)
Company | SkilledUp Life |
Address | Indonesia |
Employment type | VOLUNTEER |
Salary | |
Expires | 2023-07-05 |
Posted at | 11 months ago |
✦This is a free and unique volunteer opportunity for students to volunteer with a British Tech Company to build real-world experience and skills toward a career as an AI/ML Data Scientist Volunteer
𝗔𝗯𝗼𝘂𝘁 SkilledUp Life
At SkilledUp Life, we provide free volunteer opportunities to individuals by pairing them with British Tech Companies. We help them build work experience and improve their career prospects. We currently have over 30,000+ volunteers from over 100+ countries who have utilized SkilledUp Life to build work experience, and skills and land their dream job.
About the Opportunity
We are seeking a skilled AI/ML Data Scientist to join our team and assist in capturing data from Companies House filings. This role involves developing software to extract and analyze data from specific types of filings, as well as presenting the extracted data in a suitable format for further processing. By leveraging your expertise in data science and software engineering, you will have the opportunity to contribute to the development of a cutting-edge product. This role will provide valuable experience for those aspiring to pursue a career in the highly sought-after field of Data Science within the Information Technology (IT) industry.
Acquired Work Experience
You will get an opportunity to build a product using the knowledge you gained by undertaking studies related to data science and software engineering. This Opportunitywill allow you to build experience towards a career as a Data Scientist which is one of the most in-demand fields in Information Technology (IT) right now.
Responsibilities
We need to supplement manually captured data by capturing data from Companies House filings. This requires:
- Assist in the continuous improvement of the data capture pipeline, optimizing efficiency and performance.
- Implement algorithms and techniques to extract relevant data from the content of these filings.
- Develop software tools to automatically identify and retrieve the latest filings of the target companies, focusing on specific types of filings.
- Transform the extracted data into a suitable format that can be easily interpreted and processed by other software systems.
- Conduct thorough testing and quality assurance to ensure the accuracy and reliability of the data extraction and processing algorithms.
- Contribute to the documentation of processes, methodologies, and findings for future reference and knowledge sharing.
- Stay updated with the latest advancements in AI/ML and data science techniques, incorporating them into the data capture process as appropriate.
- Create a comprehensive list of companies to track for data capture purposes.
- Collaborate with the team to define and develop the desired outputs, which will be further refined during the project.
Qualifications and Skills
- Fluent in English, both written and spoken.
- Familiarity with software engineering best practices, version control systems, and collaborative development environments.
- Strong communication skills and ability to collaborate effectively within a team.
- Excellent problem-solving and analytical skills with the ability to handle complex data-related challenges.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Proficiency in working with large datasets and databases.
- Strong programming skills in languages such as Python, R, or Java.
- Experience in AI/ML techniques, including natural language processing (NLP), data extraction, and text analysis.
Acquired Skills
Potential skills you might develop as a result of this Opportunity:
– Learn how to make sense of words scanned.
– Learn how to re-create Cap Tables and valuations of companies.
– Learn how to present data in a meaningful manner.
Endorsements
Once a satisfactory outcome is delivered, we will:
- Provide a Letter of Recommendation.
- Allow you to add your Company Name to your LinkedIn Profile.
- Provide a testimonial for LinkedIn that can also be added to your CV/Resume.
- Provide a testimonial against your profile on SkilledUp Life.
Disclaimer
This is a voluntary position, i.e. there is no direct financial compensation, the promise of future paid work or any taxable benefit in kind.
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