Tide is seeking a Senior Data Scientist to build robust, real-time machine learning solutions to combat financial crime, with a focus on driving impact by optimising costs and reducing risk using ML/Stats models.
Requirements
- 4+ years of experience in Software Development or Machine Learning, with a strong emphasis on practical model development and deployment.
- Strong in Python and have expert knowledge with Machine Learning tools/libraries (e.g., scikit-learn, statmodels, TensorFlow, Keras, or PyTorch).
- Experience with big-data technologies such as Spark, SparkML, Hadoop etc. and have handled large data in a distributed processing environment.
- AWS, GCP, or Azure (anyone) cloud knowledge is preferred.
- Proficient in ML training, optimising, feature selection and engineering, hyperparameter tuning and have knowledge about trade-offs in using different algorithms.
- Experience in developing and deploying a variety of ML-algorithms (e.g., logistic regressions, boosted trees, neural networks) that work in real-time settings.
- A good working knowledge with basic data table operations (SQL etc.), and data transform in the warehouse (dbt etc.).
- Familiarity with Financial Services and Fintech space is preferred.
- Exposure to Cost-Sensitive Learning techniques, where the economic impact of prediction errors is a key optimization factor.
- A decent idea and practical exposure to MLOps principles (e.g., model versioning, continuous integration/deployment for ML).
- Experience with Drift monitoring tools and frameworks.
- Exposure to Knowledge Graphs or graph database applications.
Benefits
- Competitive Compensation – competitive salary and share options
- Time Off – Generous annual leave on top of bank holidays.
- Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
- Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
- Health Insurance – Private family insurance with additional OPD coverage and top-up options.
- Life & Accident Cover – Comprehensive accidental and life insurance protection.
- Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
- Volunteering & Development Days – Paid days annually for volunteering or personal growth.
- Learning & Development – Annual budget for books, courses, coaching, and more.
- WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
- Home Office Setup – Contribution towards setting up your home office
- Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
- Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent)
To apply for this job please visit job-boards.greenhouse.io.
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