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- Tasks: Lead innovative projects using GenAI to enhance travel content and user experiences.
- Company: Join a globally recognised software company with a positive culture and over 20 years of success.
- Benefits: Enjoy hybrid working, competitive salary up to £95,000, and various employee bonuses.
- Why this job: Be part of a dynamic team shaping the future of travel discovery with cutting-edge technology.
- Qualifications: Experience in Data Science, Generative AI, Python, SQL, and MLOps is essential.
- Other info: Flexible in-office days; collaborate with cross-functional teams for impactful solutions.
The predicted salary is between 57000 - 95000 £ per year.
Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment.
The organisation has been around for over 20 years and has over 1,000 members of staff. They operate across a very specific area of online sales and are a large-scale tech company. They have offices in London and Scotland and are continuing to grow and be productive. They thrive on a positive and welcoming culture, making it one of the best places to work. They are a hybrid organisation and ask all employees to be in office twice a week in London - what days those are, are flexible.
You will join a team of 7 Engineers and Scientists to work together to guarantee smooth deployment, monitoring, and scaling of solutions in live production environments.
You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You will be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments.
You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. You will be involved in designing evaluation frameworks to ensure content quality and relevance.
You will collaborate with cross-functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you will continuously experiment with new methodologies to enhance the user experience.
Key skills:
- Senior Data Scientist experience
- Commercial experience in Generative AI and recommender systems
- Strong Python and SQL experience
- Spark / Apache Airflow
- LLM experience
- MLOps experience
- AWS
This role offers a strong salary of up to £95,000 (Depending on experience / skill) with hybrid working (2 days per week in office). Additionally, they offer a range of employee benefits including a few different bonuses.
This is an opportunity to work with one of the UK’s best software businesses so if you think that you could be the right fit and this is the next step in your career, then please apply or contact Matthew MacAlpine at Cathcart Technology on 0131 510 1500.
Senior Data Scientist (GenAI) in Central London employer: Cathcart Technology
Contact Detail:
Cathcart Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (GenAI) in Central London
✨Tip Number 1
Familiarise yourself with the latest advancements in Generative AI and recommender systems. Being able to discuss recent trends or breakthroughs during your interview will demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with current employees or alumni from the company on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to showcase your experience with Python, SQL, and MLOps through practical examples. Be ready to discuss specific projects where you've successfully implemented these technologies, as this will highlight your hands-on skills.
✨Tip Number 4
Stay updated on the company's products and services, especially those related to travel discovery. Understanding their offerings will allow you to tailor your responses and show how your skills can directly contribute to their goals.
We think you need these skills to ace Senior Data Scientist (GenAI) in Central London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Senior Data Scientist, particularly in Generative AI and recommender systems. Use specific examples of projects you've worked on that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the company's innovative environment. Mention how your skills in Python, SQL, and MLOps can contribute to their goals.
Showcase Relevant Projects: Include details about any relevant projects or initiatives you've led that involved advanced technologies like LLMs or content-based filtering. This will demonstrate your hands-on experience and problem-solving abilities.
Highlight Collaboration Skills: Since the role involves working closely with cross-functional teams, emphasise your ability to collaborate effectively. Provide examples of how you've successfully worked with engineers or other departments in past roles.
How to prepare for a job interview at Cathcart Technology
✨Showcase Your Technical Skills
Make sure to highlight your experience with Generative AI, recommender systems, and tools like Python and SQL. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've approached complex data science problems in the past. Discuss your experimental approach and how you define problems, explore data, and develop models.
✨Familiarise Yourself with the Company Culture
Research the company's positive and welcoming culture. Be ready to discuss how you can contribute to this environment and work effectively within a cross-functional team.
✨Stay Updated on AI Advancements
Show your passion for the field by discussing recent advancements in AI and how they could apply to the role. This demonstrates your commitment to continuous learning and innovation.
