Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop NLP solutions and enhance AI software features in a collaborative team.
- Company: Join a leading AI software company focused on real-world data access and decision-making.
- Benefits: Enjoy hybrid working, generous holidays, a £1000 training budget, and share options.
- Why this job: Be part of an innovative team with a culture of knowledge sharing and continuous learning.
- Qualifications: MSc or PhD in data science; experience in NLP and AI techniques required.
- Other info: Remote-first organisation with a flexible 'anywhere' work scheme.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
As a Senior Data Scientist within the product team, you will bring your expertise to a full stack technology team working to solve Natural Language Processing (NLP) linguistic challenges. The team is product focussed and is developing the world’s leading AI software to provide effortless access to knowledge from real world data and enable customers to make better decisions.
What will you be doing?
We are looking for an experienced Data Scientist with a strong hands on mathematical background and experience in NLP.
You will be developing the best solutions to deliver a roadmap which is aligned to core product features.
Working closely to a product manager to develop new features. The Senior data scientist will be working on projects which continually develop and improve the AI software using the appropriate MLOps tools to deploy, scale and monitor models in production.
What you will bring to the team!
Skills
– Detailed knowledge of AI techniques, including how to train, fine tune and apply deep learning models.
– NLP commercial and research experience and aptitude to continuous learning in this space.
– Experience building Data Science solutions in a commercial environment and the ability to quantify improvements based upon analysis.
– Good awareness of software engineering and coding best practices.
– MSc or PhD – equivalent professional experience in a data science role.
Nice to have skills
– Experience of modern NLP techniques is an advantage.
– Experience of using data science platforms and frameworks, for data tagging, model training and benchmarking.
– Experience building and deploying solutions to the Cloud.
– Experience of the following technologies would be beneficial, Python, Seldon, Helm, Pachyderm, AWS or other cloud technologies, Kubernetes, Docker,
– Knowledge graphs, Graph databases, SQL and Relational databases.
Ability to thrive effectively in predominantly remote working environment.
Why this opportunity over something else?
– Hybrid working model available, Remote first organisation with 90 people based across the United Kingdom.
– The ‘anywhere’ scheme offers you the chance to work wherever you like for part of the year
– Generous holiday package with an opportunity to buy and sell holiday
– Share scheme available for all employees
– £1000 annual training budget – Culture of knowledge sharing with Team Lunch and Learns
– Competitive Pension Scheme
As a Senior Data Scientist you will earn a great package + a range of impressive benefits + share options whilst working fully remote or hybrid in a UK Office.
Senior Data Scientist – NLP & MLOps employer: Propel London
Contact Detail:
Propel London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist – NLP & MLOps
✨Tip Number 1
Familiarise yourself with the latest NLP techniques and tools mentioned in the job description, such as Python, AWS, and Docker. This will not only help you during interviews but also demonstrate your proactive approach to staying updated in the field.
✨Tip Number 2
Engage with the data science community online, particularly in forums or groups focused on NLP and MLOps. Networking can lead to valuable insights and connections that may give you an edge when applying for this role.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented AI solutions. Be ready to quantify the impact of your work, as this aligns with the company's focus on improving their AI software.
✨Tip Number 4
Research the company culture and values at StudySmarter. Understanding their hybrid working model and commitment to knowledge sharing can help you tailor your conversations during interviews to show you're a great fit for their team.
We think you need these skills to ace Senior Data Scientist – NLP & MLOps
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in NLP and MLOps. Include specific projects where you've applied deep learning models and any relevant commercial experience. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data science. Discuss how your background aligns with the company's goals, particularly in developing AI software. Mention any experience you have with the technologies listed in the job description.
Showcase Your Projects: If applicable, include links to your portfolio or GitHub repository where you have showcased your work on NLP projects or MLOps tools. This can provide tangible evidence of your skills and experience.
Prepare for Technical Questions: Anticipate technical questions related to NLP and MLOps during the interview process. Brush up on your knowledge of AI techniques, coding best practices, and the specific technologies mentioned in the job description to demonstrate your expertise.
How to prepare for a job interview at Propel London
✨Showcase Your NLP Expertise
Be prepared to discuss your experience with Natural Language Processing in detail. Highlight specific projects where you've applied NLP techniques, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate MLOps Knowledge
Since the role involves deploying and monitoring models in production, make sure to talk about your familiarity with MLOps tools. Discuss any relevant experience you have with cloud technologies and how you've used them to enhance data science solutions.
✨Prepare for Technical Questions
Expect technical questions related to AI techniques and software engineering best practices. Brush up on your knowledge of Python, SQL, and any other relevant technologies mentioned in the job description, as these may come up during the interview.
✨Emphasise Collaboration Skills
This position requires working closely with product managers and other team members. Be ready to share examples of how you've successfully collaborated in a team setting, especially in remote or hybrid environments.
