Data Science Internship
Cantab Research Ltd, United Kingdom
Job Description
Location: This role can be office-based in Cambridge, UK, or remotely, with occasional travel to the office expected.
Role Type: This is a full time, (37.5 hours per week) paid internship lasting approx. 3 months.
Reporting to: Head of Speech
Contact:
About Speechmatics
As a recognized pioneer and market leader in machine learning voice engineering, Speechmatics enables companies to build applications that detect and transcribe voice in any context in real-time. Its neural networks consider acoustics, languages, dialects, multiple speakers, punctuation, capitalization, context and implicit meanings. Check out our happy customers here.
Speechmatics is a rapidly growing, global company with offices in Cambridge, UK, Denver, USA, Chennai, India and Brno, Czech Republic. With ambitious growth plans comes great opportunities that are exciting and progressive. You will be working with some of the smartest minds in the industry, working on cutting-edge projects and deploying the latest techniques to disrupt the market.
If this is a mission you want to contribute to in a passionate way, then we want to hear from you.
About the Job
As part of our mission to improve the quality of our engine in all contexts, we want to have accurate performance metrics across a diverse set of speakers, covering as many ages, genders, accents and ethnic backgrounds as possible.
This requires adding new datasets and refining existing ones, as well as improving our current test suite to output more detailed statistics.
As an intern you will have the opportunity to learn what it takes to ensure the accuracy of a state-of-the art machine learning system and to contribute to results that will have a strong influence on our future Ramp;D endeavours, as well as key marketing material.
Requirements
Key Responsibilities
- Prepare existing datasets for potential ingestion, testing and analysis.
- Determine gaps in data and acquire new datasets and/or work with vendors to create datasets to fill those gaps.
- Improve and run our automated test suite.
- Write and deliver reports to help analyse and interpret the results.
- Any other suitable and relevant duties as assigned.
Minimum Qualifications
- Completing a degree in Engineering, Computer Science, or a related field
- Technical experience
- IT literacy
- Willingness to learn new things
- Proven analytical skills
- Excellent report writing skills
- Strong communication, organisation, and time management skills
- Ability to work both independently and in a team
Desirable Qualifications
- Experience working with machine learning algorithms and big data tools
- Experience using Python
- Experience using SQL
Benefits
Salary
We have a salary band in mind for each role, however we are candidate-led, so we want to ensure we attract the very best talent and remain flexible. We also offer comprehensive benefits.
Interview Process
The interview process for each role does vary, but usually, we would start off by asking you to complete a Further Information Form, so that we can be clear on your expectations from the start and get to know you a little better. Then we ask you to have a quick chat with the Hiring Manager to establish suitability and for you to ask us any questions before we progress the application by sending you role specific tests/tasks (if applicable). If this goes well, you will be asked to attend (either remotely or onsite if you are able) more technical interviews before we arrange a ‘meet the team’ session.
Please do let us know as soon as possible how we can best accommodate you and make any reasonable adjustments to facilitate the interview process and make the experience as comfortable as possible.
Equality, Diversity, and Inclusion
Ensuring a diverse and inclusive workplace is our priority. We are committed to providing an environment of acceptance where you are free to bring your full self to work. We positively encourage applications from suitably qualified and eligible candidates regardless of gender, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, national origin, veteran status or pregnancy and maternity status.