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- Tasks: Lead data science projects, develop advanced models, and mentor junior team members.
- Company: Join a dynamic company focused on Data Science and Machine Learning Engineering.
- Benefits: Enjoy a competitive salary, bonus scheme, private medical insurance, and flexible benefits.
- Why this job: Make a real impact in a collaborative environment while shaping the future of data science.
- Qualifications: Experience in Python, MLOps, and managing complex data teams is essential.
- Other info: Hybrid working model with discounted flights and generous annual leave.
The predicted salary is between 45000 - 105000 £ per year.
Senior Data Scientist
Full time / Hybrid working 3 days in Bedfordshire office
Negotiable to £75,000 DOE
Job Reference J12907
No sponsorship available for this role
This is an exciting opportunity for a Senior Data Scientist to take a leading role in shaping our client’s growing Data Science and Machine Learning Engineering functions. You’ll work closely with their Lead Data Scientist, identifying key opportunities, creating advanced models, and driving meaningful impact across the business.
Your work will make a real difference! As their Senior Data Scientist, you’ll be developing cutting-edge data science models, setting standards for coding and model quality, and mentoring junior team members.
In this role, you’ll manage projects from start to finish, working closely with stakeholders to define goals, and delivering results that matter. You’ll also help raise the bar for our Data Science team, contributing to technical standards and ensuring compliance with all regulatory requirements, and you’ll work closely with Data Engineers and Analysts to help develop and maintain our next-generation Data Platform.
What You’ll Bring to the Team
They are looking for somebody with technical experience to join their team as a Senior Data Scientist. If you have experience of Python development and deploying and maintaining Machine Learning models in the consumer industry, this role is made for you.
You’ll have a good understanding of MLOps frameworks, ETL/ELT tools like AWS Glue or Airflow, and data visualisation platforms such as Tableau or Power BI. (Bonus points if you’ve worked with NLP, LLMs, or emerging GenAI APIs.)
This role isn’t just about technical skills. It’s also about leadership. You should have experience managing complex data teams, working with senior stakeholders, and advocating for the resources your team needs.
What’s in It For You
In addition to your competitive base salary, they offer an all-inclusive benefits package which includes our company-wide bonus scheme, private medical insurance by Bupa, and a 7% pension contribution. They offer a variety of share options and life assurance, and we have an impressive range of flexible benefits that you can tailor to your needs.
You’ll have access to heavily discounted flights for yourself and your loved ones, as well as annual holiday vouchers, and a generous annual leave entitlement.
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Senior Data Scientist employer: Guaranteed Tenants Ltd
Contact Detail:
Guaranteed Tenants Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to showcase your experience with Python development and deploying Machine Learning models in your conversations. Highlight specific projects where you've made a significant impact, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarize yourself with MLOps frameworks and ETL/ELT tools like AWS Glue or Airflow. Being able to discuss these tools confidently during your interactions will demonstrate your technical expertise and readiness for the role.
✨Tip Number 3
Prepare to discuss your leadership experience in managing complex data teams. Share examples of how you've successfully collaborated with senior stakeholders and advocated for your team's needs, as this is crucial for the position.
✨Tip Number 4
If you have experience with data visualization platforms like Tableau or Power BI, be ready to talk about how you've used them to drive insights. This will show that you can not only build models but also communicate their value effectively.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Scientist position. Highlight your relevant experience in Python development, MLOps frameworks, and managing data teams.
Tailor Your CV: Customize your CV to reflect the skills and experiences that align with the job description. Emphasize your experience with Machine Learning models, ETL/ELT tools, and any leadership roles you've held.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to drive meaningful impact. Mention specific projects or achievements that demonstrate your expertise and leadership in the field.
Highlight Team Collaboration: In your application, emphasize your experience working with stakeholders and mentoring junior team members. This role requires strong collaboration skills, so be sure to illustrate how you've successfully managed complex data teams.
How to prepare for a job interview at Guaranteed Tenants Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python development and deploying Machine Learning models. Highlight specific projects where you've utilized MLOps frameworks and ETL/ELT tools like AWS Glue or Airflow.
✨Demonstrate Leadership Experience
Since this role involves managing complex data teams, share examples of how you've led teams in the past. Discuss your approach to working with senior stakeholders and advocating for your team's needs.
✨Prepare for Behavioral Questions
Expect questions that assess your problem-solving abilities and how you handle challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Familiarize Yourself with the Company’s Data Strategy
Research the company's current data science initiatives and be ready to discuss how you can contribute to their goals. Showing that you understand their business and data landscape will set you apart.
