About the Company

Deal Lite is an Intelligence product and application that allows you to discover rapidly growing tech companies in the UK and the investors that are funding them.

It can display:

Deals: UK tech investments that have happened during a certain period of time
Investors: the investment portfolio of the UK’s active investors
Companies: the funding history of fast-growing tech companies in the UK

This platform is useful for companies and investors alike. Companies can identify potential investors to raise funding, and investors can identify companies that present the best investment opportunities.

 

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 knowledge you gained by undertaking studies related to data science and software engineering. This Opportunity with Deal Lite will 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:

•  Create a comprehensive list of companies to track for data capture purposes.
• Develop software tools to automatically identify and retrieve the latest filings of the target companies, focusing on specific types of filings.
• Implement algorithms and techniques to extract relevant data from the content of these filings.
  Transform the extracted data into a suitable format that can be easily interpreted and processed by other software systems.
• Collaborate with the team to define and develop the desired outputs, which will be further refined during the project.
• Conduct thorough testing and quality assurance to ensure the accuracy and reliability of the data extraction and processing algorithms.
• Stay updated with the latest advancements in AI/ML and data science techniques, incorporating them into the data capture process as appropriate.
• Assist in the continuous improvement of the data capture pipeline, optimizing efficiency and performance.
• Contribute to the documentation of processes, methodologies, and findings for future reference and knowledge sharing.

Qualifications and Skills

• Fluent in English, both written and spoken.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 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.
• Proficiency in working with large datasets and databases.
• Familiarity with software engineering best practices, version control systems, and collaborative development environments.
• Excellent problem-solving and analytical skills with the ability to handle complex data-related challenges.
• Strong communication skills and ability to collaborate effectively within a team.

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 testimonial against your profile on SkilledUp Life.
• Provide a testimonial for Linkedin that can also be added to your CV/Resume.
• Allow you to add your Company Name to your LinkedIn Profile.
• Provide a Letter of Recommendation.

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.