Data Scientist - Hybrid, Brighton (ID: XxKSn5Ia)

This mid-level data science role is based within a cross-functional agile delivery team, working on our groundbreaking genAI product. The successful applicant will be crucial in collaboratively researching and building features to personalise and power intelligent user interactions.

Your responsibilities will include hands-on product development adhering to industry best practices including model development and deployment, as well as using techniques like re-enforcement learning to improve product performance.

A solid foundation in machine learning theory and practical experience, particularly in NLP, is essential for success in this role. We are also looking to push the performance boundaries of our new product as far as possible, so experience and knowledge of techniques like reinforcement learning would be a bonus.

You will also be supported by our talented and friendly data team and benefit from talking shop with our other data roles including data scientists, data engineers, analytics engineers and our machine learning engineer.

The person we’re looking for:

• 5+ years in an analytics role
• 5+ years using SQL in a business environment
• A proactive, driven mentality and a desire to continuously improve processes
• Excellent at communicating analytics topics to a non-technical audience
• Can communicate data in a high-quality, professional way that aligns with brand guidelines
• Thrives working in a commercial environment
• Great at building strong relationships with internal and external stakeholders
• Capable of designing and implementing user-friendly analytics solutions that streamline complex commercial processes and calculations

You’ll be responsible for:

• Develop, train and deploy machine learning and AI models, particularly focussing on NLP and language understanding tasks.
• Documentation and active knowledge sharing.
• Cross-functional team collaboration.
• Adherence to best practices, including code quality and security.
• Continuous learning and development.
• Responding to alerts from monitoring systems on models or technology in the data science domain (during work hours).
• Work extensively with PyTorch and other machine learning frameworks to build and iterate on models.
• Optimise and productionise models inside the AWS ecosystem, using accelerated hardware resources where needed.
• Build intelligent guardrails to protect our users, products and customers.
• Collaborate closely with cross-functional teams, including other data scientists and machine learning engineers, to integrate AI solutions into our tech stack.
• Explore and implement cutting-edge techniques like reinforcement learning and LLM fine-tuning.
• Explore and implement methods for measuring the performance of products and gaining insights into performance metrics.

Diversity is incredibly important to us. Research shows that people from marginalised groups are less likely to apply for a job unless they meet every requirement. However, these accountabilities are a guide, and, if you feel like this role could be for you and you don’t meet every criteria, please do apply. We’d love to hear from you.

Why choose us:

Our Culture

Our success is underpinned by our cultural values. These values are not something we stick up on a wall – they don’t need to be. They are behaviours that we recognise and celebrate in each other. They are what we live by every day.

Our Cultural Values:

• Positive vibes
• Take the initiative
• Seek feedback
• Stay ahead
• Team gifts

Benefits include:

• Medicash healthcare scheme (reclaim costs for dental, physiotherapy, osteopathy and optical care)
• Life Insurance scheme
• 25 days holiday + bank holidays + your birthday off (rising to 28 after 3 consecutive years with the business & 30 after 5 years)
• Contributory pension scheme

Other extras in the office:

• On-site changing rooms, showers and internal bike storage
• Breakfast, fresh fruit, snacks, beers
• Regular social events, including Friday drinks
• Visits from friendly office dogs

Job Type: Full-time

Pay: Up to £65,000.00 per year

Schedule:

• Monday to Friday

Work Location: Hybrid remote in Brighton

About Us:

We began life as an intelligent recommendation engine for tailored gift ideas. From here, we evolved our technology into a bespoke product for enterprise clients.

Today, we work with some of the world’s leading telecommunications and media brands throughout Europe and the US. Every day, our technology powers millions of confident customer decisions across brands such as Verizon, T-Mobile, EE, Tesco and Vodafone.

We’re a fast-growing organisation with ambitious growth targets over the coming years – we’re very excited about the opportunities that lie ahead. Our team is made up of driven, ambitious, and exceptional individuals, and we welcome like-minded people who wish to become part of our success story.