Data Scientist Model Development MLOps
Data Scientist Model Development MLOps
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Job Description
Job description
Expires: Expires at any time latest being Tuesday 29th April at 5pm
Start Date: Immediate start available
Term: Permanent fulltime 40 hours per week Monday to Friday)
Salary: 30k40k
Location: Oxygen House in Exeter Devon. In person with flexibility
Join our team as a Data Scientist in Model Development & MLOps!
Why youll love this role:
1. Be close to the action: Youll work closely with devs and product managers designing and testing changes to our products. Iterate rapidly and make your mark.
2. Ownership and responsibility: This is not a role for the faint hearted! Youll be joining a small but mighty team shipping models that impact millions of users.
3. Leverage our vast data: Youll have billions of students question answers at your disposal across our products in maths science and reading. This is a dataset that deserves your attention!
4. Broad remit: In our tightknit team your initiative will be valued and you wont be pigeon holedif youve got ideas determination and the expertise to back them up well give you the space to run with them.
About us
At Sparx Learning were on a mission to improve lives and the world through learning. We work with over 2600 schools 60000 teachers and 2.4 million students building systems that enhance students confidence and academic attainment whilst reducing teachers workload. Learn more about our history impact team products and work environment here.
The Modelling & Research team plays a pivotal role in driving innovation and enhancing the performance of our products. Were responsible for the models and algorithms that power everything Sparx does. From monitoring the health of our existing systems to developing new proofofconcept models if youre looking to be part of a team that makes a real impact this is the place for you!
Whats Needed:
Interest in writing quality productionready code: Youll be excited about both software development and the application of statistics and machine learning in realworld settings.
A strong desire to make a meaningful impact: Were passionate about making a real difference in education for children and teachers Join us on our mission! .
A degree in a quantitative discipline: Whether its statistics mathematics data science or another related field your educational background will set you up for success.
Competence in at least one programming language (ideally Python): We need someone who can hit the ground running.
Understanding of machine learning and statistics: You should be confident in the core principles of these disciplines and have experience putting them into practice.
An interest in building solid modelling infrastructure (MLOps): Youll be working with models in production so understanding and applying MLOps practices is crucial.
Even Better If
Education sector experience: Bonus points if youve worked on projects related to education or with educational data.
Published research: If youve got research under your belt in machine learning or education wed love to hear about it.
We know this role can be hard to fully capture in words so if you have any questions or would like more details were here to help!
Feel free to reach out and wed be happy to arrange a call or email with our Senior Data Modeller to give you a deeper insight into the position.
Our benefits
We believe in living life fully and offer a range of benefits including generous annual leave comprehensive medical and dental insurance enhanced family leave and pay plus so much more! Click here to find out more!
In person with flexibility: We trust you to manage your schedule when life happens whether its school runs or unexpected errands. But at Sparx we love the energy creativity and pace that comes from being together in person. Collaboration and connection drive our success so we encourage everyone to be together in person as much as possible.
Selection process
Technical task: An opportunity to bring your technical skills to life.
Video Interview: Wed like to get to know more about you and understand your skills and experience.
In person interview: Where youll meet some of the team and have an opportunity to share your experiences with us.
Meeting with our CEO: A great chance to dive deeper into Sparx and our mission.
Join us and be part of a mission shaping the future.
Sparx does not hold a licence to sponsor visas. We cannot process applications requiring sponsorship.
Need support during the recruitment process Email us at or call.
All done!
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Employment Type
Full-Time
