Senior Data Scientist – Fraud Detection
DataVisor
AWSAzureCloudCyber SecurityGoogle Cloud PlatformHadoopPySparkPythonSparkSQL
Senior Data Scientist
Sprout.ai
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇯🇵 Japan
Visit company websiteJob Level
Senior
Tech Stack
AWSGoogle Cloud PlatformKubernetesPythonPyTorchRay
About the role
- 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.
Requirements
- 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
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Pythonmachine learningdeep learningcomputer visionnatural language processingreinforcement learningTransformer-based modelsLarge Language Modelsmodel deploymentdata analysis
Soft skills
technical guidanceproblem-solvingcommunicationcollaborationproactive improvementcustomer educationtrack record of deliveryadaptabilityteam culturestakeholder engagement