Data Scientist

OnBuy; United Kingdom; On-site; GBP 65,000 - 70,000; Full time

Job summary

A growing tech company in the UK seeks a Risk Data Scientist to develop predictive models and analyze data to identify potential risks. The role requires over 2 years of data science experience and proficiency in Python and SQL. You'll collaborate with teams to build tools and provide insights that drive the company's decision-making. The salary is £65,000 to £70,000 per annum, with equity in the company offered as a benefit.

Benefits

Company equity

Qualifications

• Over 2 years data science experience within risk management or similar.
• Proven track record of applying machine learning and statistical models.
• Capable of turning data into actionable insights.

Responsibilities

• Design and develop statistical and machine learning models to assess risks.
• Analyse large datasets to uncover trends indicating emerging risks.
• Create dashboards and visualisations for stakeholders.

Skills

Machine learning

Statistical analysis

Python

SQL

Data analysis

Data visualization

Critical thinking

Education

Degree in Data Science, Mathematics, Computer Science

Tools

Statistical analysis frameworks

Big data tools

Job description

Base pay range

This range is provided by OnBuy. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Overview

OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you\'re not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. We work in a flexible way, meaning we can prioritise our health and relationships, but when we are working, we graft.

Risk Data Scientist - role

Primary responsibility: Develop data-driven strategies and predictive models that aid the identification and quantification of potential risks, enabling the risk management team to ensure appropriate mitigations are in place. Collaborate with cross-functional teams to build risk models, predictive analytics tools, and reports that support informed decision-making and effective risk mitigation.

Key Responsibilities:

• Risk Modelling & Predictive Analytics: Design and develop statistical and machine learning models that simulate various risk scenarios, to identify, assess, and quantify potential risks to the business.
• Risk Data Analysis: Analyse large and complex datasets from multiple sources to uncover trends, patterns, and outliers that can indicate emerging risks.
• Risk Mitigation Strategies: Support the Head of Risk in translating analytical findings into actionable risk mitigation strategies.
• Reporting & Visualisation: Create dashboards, reports, and visualisations to clearly communicate potential risks and their impacts to stakeholders at all levels of the organisation.
• Data Integration: Work with data engineers to integrate, clean, and preprocess data from disparate systems, ensuring that the data used for risk assessments is accurate and up to date.
• Continuous Improvement: Continuously monitor model performance and refine risk models to ensure accuracy and effectiveness in an evolving risk landscape.

Requirements

Experience and Skills:

• Essential
• Degree in Data Science, Mathematics, Computer Science, or a related field
• Over 2 years data science experience within risk management, insurance, lending or similar
• Proven track record of applying machine learning and statistical models
• Experience working with large-scale datasets and integrating data from multiple sources
• Proficiency in Python, or similar programming languages
• Experience with statistical analysis and machine learning frameworks
• Knowledge of Large Language Models and related AI modelling tools
• Strong expertise in SQL for data querying, manipulation, and transformation
• Capable of turning data into captivating, compelling and actionable insight
• Able to communicate effectively with both key stakeholders and external parties
• Confident in constructively challenging at all levels
• Independent, critical and creative thinker
• Excellent problem-solving skills
• Enjoys working in a fast-paced, collaborative environment
• Open, honest & approachable

• Desirable
• Familiarity with big data tools and platforms
• Experience with data visualisation tools
• Knowledge of risk management practices and frameworks
• Understanding of cloud computing platforms and their application in data science

Benefits

The salary on offer for this role is £65,000 to £70,000 per annum, depending on experience.

In return for helping us to grow, we\'ll offer you company equity, meaning you own a piece of this business we are all working so hard to build.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Other

Industries

• Non-profit Organizations and Primary and Secondary Education