National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Scientist

Sprout.ai
united kingdom
2 weeks ago
Create job alert

Get AI-powered advice on this job and more exclusive features.

Working Pattern:Remote

Location:United Kingdom

As a company for whom AI is the product, it should be no surprise that our Data Science team is at the heart of everything we do at Sprout - building innovative products, researching new techniques for using Artificial Intelligence in claims automation, and pushing the boundaries of what our product can achieve.

As a globally dispersed team, our Data Scientists bring together a diverse range of expertise and backgrounds; what unites us is a desire to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, Natural Language Processing and Deep Learning.

Our Data Scientists are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, designing and building models, and deploying them into production. We work in cross-functional squads, so you will work collaboratively with other Data Scientists, Software Engineers, Product and Engagement Managers on your designated project.

You will not only lead the development of sophisticated ML models but also shape the future of our AI capabilities. You will have the opportunity to mentor junior team members, influence strategic decisions, and directly impact our customers' experiences.

If you are passionate about transforming industries with AI and want to work with an innovative, ambitious team, we would love to hear from you. Apply now and help shape the future of claims automation.

Responsibilities

  • Develop features for our state-of-the-art claims automation platform
  • Research, build and deploy machine learning algorithms and models to production within product teams
  • Provide technical guidance and input on the design and implementation of machine learning algorithms
  • Support with customer PoVs and onboarding
  • Understand business problems and product requirements and help translate these into technical solutions
  • Execute and deliver full AI/ML solutions from sourcing training data, design and implementing state-of-the-art machine learning models, testing, benchmark and product-driven research for model performance improvement, to shipping stable, tested, performant code in an agile environment
  • Work closely with Product Managers to help shape the product roadmap from a Data Science perspective
  • Contribute to Data Science strategy and the Data Science roadmap in conjunction with our Head of AI
  • Proactively seek to improve the way that Data Science operates at Sprout.ai
  • Support the education of the business and customers on how our Data Science teams work
  • Stay updated on the latest trends and advancements in Artificial Intelligence


Skills, Knowledge, And Experience

  • Technical proficiency
    • You write production-grade, scalable Python code, ensuring that your models are robust, maintainable, and optimised for performance
    • Comfortable with PyTorch
    • Knowledge of Transformer-based models
    • Knowledge of Large Language Models (LLMs)
  • Proven experience of having delivered successful Computer Vision or LLM projects into production
  • Strong understanding of software development fundamentals, in particular deploying models to production and how to set up pipelines
  • Demonstrate expertise in deep learning for computer vision, natural language processing, reinforcement learning etc
  • Displays in depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation
  • Strong fundamentals in Mathematics, Statistics and Data Analysis
  • Experience working in an Agile environment and knowledge of how Agile methodologies can be applied to Data Science teams in terms of process, practice, team culture and the delivery of work
  • Ability to convert customer requirements or business challenges into well-defined machine learning solutions
  • We are using many technologies day to day such as various AWS services, GCP, Kubernetes, Ray Serve, Kubeflow, and ReTool. Any experience in these areas would be a bonus

Sprout.ai Values

Hungry for Growth - Unleash your inner Sprout: Sprouts embrace growth, forget comfort zones, and help Sprout.ai thrive.

Own It, Deliver It - We commit, we deliver, and we exceed expectations - it's how we achieve outstanding outcomes for our customers.

Seed Innovation - The future is shaped by those who dare to innovate. We embrace this mindset, planting the seeds for future growth, experimenting fearlessly and taking bold actions that unleash our ability to scale.

Collaborate to Blossom - We cultivate collaboration, working together to create a vibrant and diverse ecosystem where every Sprout can thrive. It drives better results, and creates a better environment for us all.

Compensation, Benefits And Perks

  • Sprout.ai Share Options
  • 28 days' annual leave (plus bank holidays)
  • Hybrid working with up to 4 days per week working from home
  • Private Health Insurance + Dental Insurance
  • Learning and Development budget
  • Monthly socials, both in London and Virtual
  • WeWork perks - barista, social events, snacks etc
  • Macbook Pro + home working setup

About Sprout.ai

Sprout.ai was established in London, UK in 2018 with a mission to help people in their time of need when making an insurance claim. Inefficient claims processing for the insurer meant that customer experience was suffering and people were losing faith in their insurance policies. The average insurance customer was having to wait over 25 days to receive an outcome on their claim, often in times of vulnerability.

The barriers to rapid claims settlement were clear; understanding of unstructured data, complexity and volume of decision making, legacy systems and processes.

Sprout.ai's patented claims automation platform solves these challenges, and has already delivered instant claims settlement on millions of insurance claims around the world. Our proprietary AI products can automate every step of the claims journey: extracting and enhancing relevant claims data, cross-checking this with policies and providing recommendations to conclude a claim in near real-time. Our tools are allowing claims handlers to spend more time with customers, where human touch and empathy can make the most difference to their customers.

Leading VCs saw our company vision to ‘make every claim better' and have supported our growth journey. This includes our $11M Series A led by Octopus Ventures in 2021 and in total we have raised over $20M.Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesIT Services and IT Consulting

Referrals increase your chances of interviewing at Sprout.ai by 2x

Get notified about new Senior Data Scientist jobs inUnited Kingdom.

Senior Data Analyst - RELOCATION TO ABU DHABISenior Data Scientist (Generative AI) - RELOCATION TO ABU DHABISenior Machine Learning Scientist (UK Remote)

Birmingham, England, United Kingdom 2 days ago

London, England, United Kingdom 2 weeks ago

Senior Machine Learning Scientist (UK Remote)

Leeds, England, United Kingdom 2 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist - Up to £150k

Senior Data Scientist

Senior Data Scientist (Viator)...

Senior Data Scientist

Junior/Mid/Senior Data Scientist - Hybrid, London

SENIOR RESEARCH ASSOCIATE (DATA SCIENCE) (LONDON)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.