About The Role
Joining an established MI, Insight and Analytics area and using newly developed market leading technology, this new role is a fantastic opportunity for an experienced Data Science professional to help shape the development of our insight and analytics capability.
Operating in the fast pasted and highly competitive used car market, we have a well established data led strategy, where teams are encouraged to experiment based on data led insight and quickly test new ideas. This role requires a commercial focus and the ability to work collaboratively with business experts and product teams to test hypotheses and measure the impact of actions.
About You
- You bring demonstrable experience in data science and are able to provide clear examples of where your insights have driven positive business impact
- You are experienced in data preparation, exploratory data analysis (EDA) and feature engineering
- You can use machine learning tools and statistical techniques to produce solutions to business problems
- You can work closely with non-technical business experts to identify issues and use data to propose solutions for effective decision making
- You have a positive ‘can do’ attitude and are energised by a fast paced, commercial market
- You are not afraid to challenge the status quo, making recommendations to influence business improvement
- You are comfortable working collaboratively with several areas across the business including Sales, Pricing and Product teams
- You are a proactive self-starter who enjoys having the autonomy to drive change
- You possess strong presentation skills and are confident explaining complex subject matter to non-technical stakeholders
- Advanced Analytics and Data Science experience
- Demonstrable experience delivering data science projects
- Strong data manipulation and statistical analysis skills
- Experience implementing Machine Learning algorithms and statistical models
- Expert user of one or more popular BI Tools eg Oracle Analytics, Tableau, Looker, Qlik, Micro Strategy etc…
- Python experience
- SQL experience
- Stakeholder management experience
- An undergraduate or postgraduate degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a similar quantitative field is required
About The Company
- We believe no one should be left behind
- We find solutions
- We believe we must take the lead
- We drive change
- We believe everything starts with the customer
- We care
- Pay: competitive salary, with a yearly discretionary bonus, based on your performance
- Holiday: 28 days, and you can buy and sell days
- Pension: 15% non-contributory pension (9% during probation)
- Health and wellbeing: Private Medical Insurance cover available for all employees and free health screenings for over 50s. Life assurance at four times your basic salary, to give you peace of mind. Free access to healthcare apps like Peppy, Unmind, and Aviva Digital GP. Mental Health Allies and an Employee Assistance Programme
- Development: A library of internal training on our myLearn platform
- Family friendly: We have competitive family leave policies
- Diversity and inclusion: We embrace the diversity of our people and empower them to come to work as their true selves. We want them to flourish and be rewarded equally. We have Employee Network Groups, and we pride ourselves on being inclusive and all our offices have first-rate disability access
- Helping our community: One volunteering day each year, and access to volunteering platform Neighbourly
- Schemes: Car Benefit Scheme for electric and hybrid cars. This means you can lease a brand-new electric or plug-in hybrid car, with insurance and more, for a fixed monthly amount. Cycle to Work Scheme. Employee Discount Scheme, to save money across lots of retailers
- Other voluntary benefits: charitable giving, critical illness insurance, dental insurance, health and cancer screenings for you and your partner, discounted gym memberships and season ticket loans, free fresh fruit and snacks in the office