# Data Scientist

> Kody · Shenzhen, China · — · Posted 2026-11-05

**Workplace:** on_site

**Department:** Technology

## Description

**About Kody**

Kody is a fast-growing Fintech dedicated to bringing seamless online payments and financial services to brick-and-mortar businesses across the UK, Europe, and APAC.

**About the Role**

At Kody, we process high volumes of transaction data daily. We are looking for an intellectually curious, technically solid **Data Scientist** to make sense of our complex data and drive high-impact commercial decisions.

You will act as the core quantitative engine for the team—diving into payment success rates, merchant transaction funnels, and revenue metrics. You won't just pull numbers; you will be responsible for understanding the underlying business mechanics, transforming raw, messy data into actionable insights, and building intuitive, scalable dashboards in **Google Looker** and **Power BI**.

**Key Responsibilities**

-   **Deep-Dive Data Analysis**: Extract, clean, and analyze high-volume payment transaction and merchant data to uncover operational bottlenecks, drop-offs, and growth opportunities.
-   **BI Architecture & Dashboarding**: Design, build, and maintain production-quality dashboards and semantic models in **Google Looker (LookML)** and **Power BI**, ensuring metrics are automated, consistent, and intuitive for business stakeholders.
-   **Core Metrics Definition**: Partner with Commercial, Operations, and Product teams to define, standardize, and monitor key business KPIs across regional markets.
-   **Data Modeling & Validation**: Write robust, optimized SQL queries and Python scripts to aggregate complex datasets, verifying data accuracy and consistency before reporting to leadership.
-   **Ad-Hoc Strategic Projects**: Deliver fast, data-backed answers to ad-hoc business questions, supporting senior management with scenario analysis and performance forecasting.

## Requirements

-   **Strong Academic Foundation**: Bachelor’s or Master’s degree from a top-tier university in Statistics, Mathematics, Computer Science, Data Science, Quantitative Finance, or related quantitative disciplines.
-   **Exceptional SQL Proficiency**: Advanced SQL capabilities (complex joins, CTEs, window functions, and query optimization) with demonstrated experience querying massive, multi-table databases.
-   **Hands-on Python / R**: Practical experience with Python (pandas, NumPy) or R for exploratory data analysis, data wrangling, and statistical evaluation.
-   **Proficiency in Modern BI Tools**: Proven hands-on track record with **Google Looker** (knowledge of LookML is a strong plus) and/or **Power BI / Tableau**; capable of translating abstract business requirements into clean, self-serve data visualizations.
-   **Sharp Analytical & Business Acumen**: High attention to detail with the ability to quickly spot data discrepancies, understand payment/fintech workflows, and communicate technical findings clearly to non-technical stakeholders.

**Nice to Have**

-   Prior analytics experience in Fintech, payments, e-commerce, or high-growth tech companies.
-   Experience with cloud data platforms (Snowflake, BigQuery) or modern data transformation tools (dbt).

## Benefits

Why Join Us?

-   Highly Competitive Rewards: Market-leading compensation package designed to reward top talent.
-   High-Trust, Collaborative Team: Work alongside driven, supportive peers in an open and united team culture.
-   Direct & Efficient Communication: Direct feedback, quick decision-making, and zero unnecessary red tape.
-   Immense Growth Potential: Be part of a high-growth fintech journey with expansive career upside.

## Apply

[Apply at Kody](https://apply.workable.com/kody/j/E8EF9D0AE7/apply)

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