Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to enhance recommendation systems using AI and machine learning.
- Company: Be part of a forward-thinking company focused on user experience and equitable relationships.
- Benefits: Enjoy a 12-month contract, flexible working options, and the chance to work with cutting-edge technology.
- Why this job: Make a real impact by driving product innovation and collaborating with talented professionals.
- Qualifications: Degree in a quantitative field and experience with recommendation engines and statistical modelling required.
- Other info: This role is outside IR35, offering you more flexibility in your contract.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a Senior Data Scientist to join a cross-functional Recommendations group, a team of dedicated engineers, scientists, and machine learning specialists focused on developing and improving advanced recommendation systems across a portfolio of widely used applications. Collaborating with product teams and other engineering groups, the team leverages AI and machine learning to enhance user experiences and drive the mission of fostering healthy, equitable relationships.
Key Responsibilities
- Collaborate with machine learning scientists and engineers in a cross functional team environment.
- Identify high-value opportunities and design frameworks to evaluate algorithmic improvements.
- Conduct large-scale experiments to validate hypotheses and guide product innovation.
- Analyse the impact of algorithm changes on marketplace dynamics and user engagement.
- Partner with business and technical stakeholders to translate complex problems into scalable AI solutions.
- Work closely with Product Management to define roadmaps and establish key metrics aligned with strategic goals.
Previous experience
- A degree in Computer Science, Mathematics, or a related quantitative field (e.g., economics, social science).
- Experience working with recommendations engines within data science.
- Strong statistical modelling expertise, including hypothesis testing, inference, and regression analysis.
- Proficiency in Python data science libraries (e.g., pandas, scikit-learn, numpy, statsmodels).
- Advanced SQL skills, including experience with analytic functions, performance optimization, and data manipulation.
- Familiarity with multi-sided marketplaces or the online relationship space.
- Experience applying advanced statistical methods in academic or industry settings.
- Understanding of the machine learning development lifecycle, including MLOps and CI/CD.
- Hands-on experience deploying and maintaining machine learning models.
Senior Data Scientist employer: TechNET IT Recruitment Ltd
Contact Detail:
TechNET IT Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network with professionals in the data science field, especially those who have experience with recommendation systems. Attend meetups or webinars where you can connect with potential colleagues and learn about their experiences at companies like ours.
✨Tip Number 2
Showcase your hands-on experience with machine learning models by discussing specific projects you've worked on. Be prepared to explain the challenges you faced and how you overcame them, as this demonstrates your problem-solving skills.
✨Tip Number 3
Familiarise yourself with the latest trends in AI and machine learning, particularly in relation to recommendation systems. Being able to discuss recent advancements or case studies during interviews can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you would approach collaboration with cross-functional teams. Highlight your communication skills and ability to translate complex technical concepts into understandable terms for non-technical stakeholders.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with recommendation engines. Emphasise your proficiency in Python and SQL, as well as any experience with machine learning models.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the role. Mention specific projects or experiences that align with the responsibilities listed in the job description.
Highlight Relevant Skills: In your application, clearly outline your statistical modelling expertise and any experience with large-scale experiments. Use examples to demonstrate how you've successfully applied these skills in previous roles.
Showcase Collaboration Experience: Since the role involves working in a cross-functional team, include examples of past collaborations with engineers or product teams. Highlight how you contributed to successful outcomes through teamwork.
How to prepare for a job interview at TechNET IT Recruitment Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python data science libraries and SQL. Bring examples of past projects where you successfully implemented recommendation systems or conducted large-scale experiments, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Familiarise yourself with the company's products and how they utilise AI and machine learning. Be ready to discuss how your work can enhance user experiences and contribute to the company's mission of fostering healthy relationships.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to identify high-value opportunities and design frameworks for algorithmic improvements. Practice articulating your thought process when tackling complex problems, as this will showcase your analytical skills.
✨Demonstrate Collaboration Skills
Since the role involves working in a cross-functional team, be prepared to share examples of how you've successfully collaborated with engineers, product managers, and other stakeholders. Highlight your communication skills and ability to translate technical concepts into business solutions.
