Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy, and consent to receive emails from Rise
Jobs / Job page
Senior Data Scientist, Japan image - Rise Careers
Job details

Senior Data Scientist, Japan

Working Pattern: Remote

Location: Worldwide

Language Requirement: Japanese and English fluency

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 projects specific to our Japanese customers.

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

  • Fluent Japanese and English speaking - this role will require you to work with complex Japanese documents and work with native Japanese speakers,
  • 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 either 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.
  • Can demonstrate a track record of delivering AI/ML solutions as an individual contributor
  • 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)
  • Fully Remote role
  • 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

Founded in London in 2018, Sprout.ai was born from a simple belief: insurers should be there for policyholders in their time of need. Long delays, manual processes and outdated systems meant customers were often left waiting weeks for outcomes at their most vulnerable moments. We set out to change that.

Today, Sprout.ai is redefining insurance automation for insurers. Acting as the intelligence layer at the heart of operations, we bring advanced AI, digitisation, and data-driven processes to transform how claims and underwriting decisions are made.

Our mission is to make every interaction between insurers and policyholders accurate, fast, and fair, and our vision is to become the world’s most trusted insurance intelligence partner, powering billions of safe, explainable decisions for global insurers.

Sprout.ai integrates seamlessly into existing systems to deliver real-time claims automation and actionable insights, enabling expert teams to focus on complex cases with speed and empathy. Insurers use our platform to overcome legacy challenges, cost pressures, fraud risk, and regulatory demands, achieving tangible results including:

  • Up to two-thirds of claims processed automatically
  • 99% accuracy
  • Significant gains in customer satisfaction and operational efficiency

Backed by leading insurers and recognised with industry awards and ISO 27001 certification, Sprout,ai is the insurance intelligence automation platform injecting insights into claims and underwriting — changing insurance, for good.

Average salary estimate

$125000 / YEARLY (est.)
min
max
$100000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

Similar Jobs
Posted 10 hours ago

Berkley Entertainment Insurance is hiring a mid-level Decision Science Analyst in Irving, TX (hybrid) to build data pipelines, dashboards, and analytics that inform underwriting, claims, finance, and actuarial decisions.

Posted 4 hours ago

Poesis is hiring a Founding Quant Engineer in San Francisco to implement research into production-ready models, data pipelines, and backtests for a daily-frequency ML hedge fund.

Photo of the Rise User
Posted 21 hours ago

Lead the design and deployment of production-ready AI and ML models for multi-omics and clinical applications in a remote-first team advancing precision medicine.

Photo of the Rise User
Tiger Analytics Hybrid No location specified
Posted 21 hours ago

Tiger Analytics seeks an experienced MLOps Engineer in New Jersey to design, deploy, test, and monitor production ML pipelines using AWS SageMaker, Airflow, and modern MLOps tooling.

Posted 7 hours ago

Sony's Corporate Information Security team is hiring an Associate Data Scientist to develop risk analytics, predictive models, and visualizations that inform security leadership decisions.

Photo of the Rise User
Posted 21 hours ago

A healthcare analytics partner is hiring a remote Data Scientist to design predictive models and analytics that improve quality measurement and value-based outcomes for Medicaid and CHIP programs.

Photo of the Rise User

A fully remote U.S. role for a Data Scientist (Software Engineer I/II) focused on building ML/AI models and data pipelines to deliver actionable insights and operational improvements.

Posted 6 hours ago

Poesis is seeking a founding Machine Learning Engineer in San Francisco to design and deploy end-to-end ML systems that generate daily trading signals for an AI-driven hedge fund.

AI powered claims automation and fraud detection

1 jobs
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
October 13, 2025
Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!