Overview
TieTalent - Waltham Cross, United Kingdom
Senior Data Scientist
Location: Waltham Cross, England, United Kingdom
What you’ll do
The Senior Data Scientist will be responsible for developing and implementing data-driven solutions to deliver new innovative sports-focused products to our significant customer base of sports fans. They will identify trends in large datasets and develop models that can predict future outcomes. They must be comfortable working with stakeholders across the organisation to ensure insights are effectively communicated and implemented.
Responsibilities
* Develop predictive models using advanced statistical techniques such as regression, classification, clustering, etc.
* Analyse large datasets to uncover patterns and relationships between variables.
* Collaborate with stakeholders across the organisation to understand needs and develop data-driven solutions.
* Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments.
* Monitor performance of existing models over time and adjust parameters for optimal results.
* Stay up-to-date on industry trends related to data science technologies and best practices.
* Build and integrate cloud-native components to expose models as scalable endpoints and publish inference results as events for downstream systems.
* Establish and maintain robust MLOps practices, including CI/CD pipelines, monitoring, retraining strategies, and automated testing.
* Mentor and guide junior data scientists and engineers on best practices for productionising machine learning.
What you’ll bring
* A strong collaborative mindset, with the ability to work across disciplines and contribute creatively
* Understanding of large language and multi-modal models
* Good experience in Python, Docker and developing in a cloud-based environment (ideally AWS)
* Strong background in data analysis and machine learning, with proven experience (ideally 3+ years) architecting and building end-to-end ML systems
* AWS Machine Learning Certification desirable
* Experience using Infrastructure-as-Code to deploy ML solutions on AWS
The rewards
* Sky Q for the TV you love, all in one place
* Sky Glass at an exclusive rate
* Generous pension package
* Private healthcare
* Discounted mobile and broadband
* Sky VIP rewards and experiences
Inclusion & how you’ll work
We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like later in the recruitment process.
Your office space
Osterley
Our Osterley Campus is a 10-minute walk from Syon Lane train station. Free shuttle buses connect to Osterley, Gunnersbury, Ealing Broadway and South Ealing stations. Bike shelters and showers are available. On campus, there are 13 subsidised restaurants, cafes, and a Waitrose. A subsidised gym, cinema, car wash and beauty salon are also available.
Additional notes
Inventive, forward-thinking minds come together to work in Tech, Product and Data. If you believe in better, we’ll back you all the way. Please note: if your application is successful, you may be asked to complete a criminal record check. Depending on the role and possible convictions, offers may be withdrawn.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Information Technology
Industries
* Technology, Information and Internet
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