Data Scientist (Graduate)
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Data Scientist (Graduate role)
Graduate role at a fast-growing software company
Use Python Machine Learning techniques and libraries to implement new models and improve existing models in the AI world
Great starting salary of £25,000 - £35,000 plus company share scheme, yearly learning budget and monthly socials
Are you a machine learning expert? Are you good with data and programming?
We’re on the hunt for a talented Data Scientist to work with large data sets for a fast-growing software company that uses AI to boost productivity and engagement! This AI-driven company uses machine learning models to easily create stronger communities and more meaningful real-world connections but they need YOU at the forefront to implement new models that tackle real enterprise problems.
If you are a problem-solver and have a passion to kick-start a career in data science, this is your chance!
Data Scientist role overview:
You’ll help to solve real-world problems on dynamic datasets. You’ll use your programming skills to manipulate, analyse, synthesise, and visualise data. You'll use Machine Learning techniques and Python Machine Learning libraries to implement new models that tackle real enterprise problems and improve existing models.
You’ll report to the Senior NLP Data Scientist and Head of Machine Learning, assisting them to empower individuals, help organisations to work better together, and create a platform to power the future of work.
This is a hybrid role, remote and London-based with the opportunity to make an impact on the core business. Sound good?
Data Scientist responsibilities:
🧑💻 Work with dynamic datasets, solving problems and giving insight
🧐 Help build and improve tools to train, monitor and analyse performance and data quality
🚀 Develop statistical models, algorithms and new ways to collect data
🧠Provide input into future data science strategy and product development
Data Scientist must-haves:
Experience with Python Machine Learning libraries (TensorFlow, Pytorch and Sklearn)
Strong verbal and written communication skills
Experience in the design and usage of relational databases (SQL, PostgreSQL)
Experience with testing frameworks (PyTest)
Data Scientist benefits:
A great salary between £25,000-£35,000
A generous yearly learning budget
If you have an eye for data and analytics, a passion for machine learning and the drive to join a fast-growing startup, apply to this exciting Data Scientist job now!
Equal opportunity employer
DigitalGrads is committed to being an equal opportunity employer. All qualified applicants will receive consideration regardless of age, gender, ethnicity, sexual orientation, faith, disability or other. We are continually finding ways to improve the way we work, and regularly review our internal recruitment practises.
Apply for this role
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Salary: £25,000 to £35,000 per year
Location: London, England
Working hours: Monday to Friday 9am - 5:30pm (flexible)
Start date: 01/06/2022
How our hiring process works
The hiring process is expected to last around 6 weeks - between a job opening for applications and someone being offered the job.
You apply and perfect your profile. We'll be in touch within 3 working days.
Tasks are sent out to candidates that pass the initial screening.
The employer reviews the tasks and decides which candidates to interview.
First interviews take place.
Second interviews take place.
The top candidate is chosen and a job offer is made.
Communication and feedback
- We won't leave you hanging. We'll update you about your progress throughout the hiring process.
- No ghosting! If you're unsuccessful in your application, we'll let you know as soon as we can.
- Feedback: If you submit a task or participate in an interview, we'll do our best to ensure that the employer gives you feedback to improve for next time.
DigitalGrads is committed to being an equal opportunity recruiter. All qualified applicants will receive consideration regardless of age, gender, ethnicity, sexual orientation, faith, disability or other. We are continually finding ways to improve the way we work, and regularly review our recruitment practises.