Senior Data Scientist (GenAI)

Cathcart Associates Group Ltd; City Of London; Hybrid; GBP 80,000 - 95,000; Full time

Job summary

A leading software business in London seeks a Senior Data Scientist with a strong background in Generative AI and recommender systems. This role involves enhancing travel content and user experience through advanced machine learning techniques, working in a hybrid environment. The successful candidate will join a team responsible for deploying innovative solutions and ensuring content quality.

Benefits

Hybrid working

Employee benefits and bonuses

Qualifications

• Senior Data Scientist experience required.
• Commercial experience in Generative AI and recommender systems.
• Strong Python and SQL experience.

Responsibilities

• Utilise advanced technologies to enhance travel content.
• Lead initiatives in data science lifecycle and model evaluation.
• Collaborate with teams for AI solutions integration.

Skills

Data Science

Python

SQL

Generative AI

Recommender Systems

MLOps

AWS

Spark

Apache Airflow

Job description

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 company:

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 are one of Scotland’s best known tech organisations, and 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.

The role:

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’ll 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. As well as this 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’ll 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

Additional information:

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 UKs 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.