Data Scientist

Das Group; Bristol; On-site; GBP 40,000 - 60,000; Full time

Job summary

A market-leading insurance and legal services provider is looking for a Data Scientist to join their Information Management Team in Bristol. The successful candidate will leverage best practices to explore data, formulate hypotheses, and provide actionable insights to stakeholders. Skills in advanced analytics, machine learning, and proficiency in Python, R, and SQL Server are essential. This role offers flexible working options and a comprehensive benefits package including 26 days of holiday and wellbeing programmes.

Benefits

26 days holiday with option to buy additional days

Company pension scheme

Group Income Protection

Employee Health Cash Plan

Employee discounts hub

Qualifications

• Experience as a Data Scientist with proficiency in Python, R, and SQL Server.
• Proactive attitude and passion for data.
• Experience in advanced analytics and machine learning.

Responsibilities

• Explore data and provide actionable recommendations.
• Utilise advanced analytics and machine learning capabilities.
• Create data visualizations to support business insights.

Skills

Python

R

SQL Server

Analytical skills

Problem-solving skills

Communication skills

Machine learning

Job description

Overview

ARAG UK, a market-leading insurance and legal services provider, has an exciting new opportunity for a Data Scientist to join us in our Information Management Team, based in our Bristol offices.

Responsibilities

• Leverage best practices to explore data, formulate hypotheses, analyse results, and provide actionable recommendations. Work directly with stakeholders to understand their needs and deliver insights that drive business decisions. Mentor junior team members to help them develop their skills and grow professionally.
• Utilise advanced analytics, predictive analytics, and machine learning capabilities, with awareness of contemporary technologies and techniques, including AI.
• Creating and maintaining data visualizations to support business insights, and developing and implementing advanced analytics solutions to meet business needs.
• Managing tasks from inception to completion, collaborating with stakeholders and ensuring effective communication and workflow management to deliver accurate content aligned with requirements.
• Identifying potential risks in design and delivery, suggesting mitigating actions, and detecting and escalating any data issues encountered during daily activities.

Requirements

• Experience as a Data Scientist with advanced proficiency in Python, R, and SQL Server.
• A proactive, can-do attitude with enthusiasm to learn and a true passion for data and information.
• Analytical and problem-solving skills; experience in advanced analytics, predictive analytics, and machine learning.
• Good communication and relationship-building skills, including the ability to inspire trust, influence, and communicate information clearly and commercially to different audiences.
• Broad awareness of contemporary technologies and techniques, including AI.
• Experience in the Insurance or Financial Services industry is preferable but not essential.

Benefits

• 26 days holiday with the option to buy up to a further 5 days
• Company pension scheme with the option to increase contributions
• Group Income Protection for all employees
• Group Legal Protection for all employees
• European Motor Assistance and Home Emergency Assistance
• Salary sacrifice benefits including Cycle scheme
• A comprehensive wellbeing programme including an employee Health Cash Plan
• Access to our employee discounts hub offering exclusive discounts across thousands of retail partners, including discounted gym memberships at over 3,000 gyms across the UK
• Option to join our Sports and Social club with discounted events such as theatre visits, wine tasting and shopping trips
• Flexible working options to support work-life balance

If you think you would be a good match for this role, please apply with transferable experience, even if you do not meet every criterion.