Data Scientist – VRM

Motability Operations Limited; Bristol; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

An established industry player is seeking a skilled Data Scientist to join their dynamic team in Bristol. This exciting role involves leveraging advanced analytics and data science techniques to enhance the resale values of ex-lease vehicles. You'll work collaboratively in a fast-paced environment, applying your expertise in machine learning and statistical analysis to drive business improvements. With a commitment to innovation and a data-led strategy, this organization offers a unique opportunity to make a significant impact in the used car market while enjoying a hybrid working model that promotes work-life balance.

Benefits

Annual Discretionary Bonus

15% Non-Contributory Pension

Life Assurance

Employee Discount Scheme

Discounted Electric/Hybrid Car Scheme

Cycle to Work Scheme

28 Days Annual Leave

Funded Private Medical Insurance

Access to Healthcare Apps

Volunteering Day

Qualifications

• Experience in delivering impactful data science projects.
• Strong data manipulation and statistical analysis skills.

Responsibilities

• Provide analytics expertise to improve vehicle resale values.
• Collaborate with business experts to test hypotheses.

Skills

Data Science

Data Preparation

Exploratory Data Analysis (EDA)

Feature Engineering

Machine Learning

Statistical Analysis

Stakeholder Management

Presentation Skills

Education

Undergraduate Degree in Computer Science

Postgraduate Degree in Data Science

Tools

Python

SQL

BI Tools (e.g., Oracle Analytics, Tableau)

Job description

About The Role

Motability Operations are currently recruiting for a Data Scientist to join our team in Bristol on a full-time, permanent basis.Joining the Remarketing Department of the UK’s largest vehicle leasing company, this role will provide analytics and data science expertise to help identify opportunities to improve the resale values of the 225k ex-lease cars sold back into the used car market each year.

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

Minimum criteria:

• 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

Motability Operations is a unique organisation, virtually one of a kind. We combine a strong sense of purpose with a real commercial edge to ensure we provide the best possible worry-free mobility solutions to over 800,000 customers and their families across the UK. Customers exchange their higher rate mobility allowance to lease a range of affordable vehicles (cars, wheelchair accessible vehicles, scooters, and powered wheelchairs) with insurance, maintenance and breakdown assistance included. We are the largest car fleet operator in the UK (purchasing around 10% of all the new cars sold in the UK) and work with a network of around 5,000 car dealers and all the major manufacturers. We pride ourselves on delivering outstanding customer service, achieving an independently verified customer satisfaction rating of 9.8 out of 10.

Our values are at the heart of everything we do. They represent ambition, and we look for our people to live and breathe them every day:

• We find solutions
• We drive change
• We care

We operate hybrid working across the organisation where we split our time between working on-site at our offices, and at home, remotely within the UK. We believe hybrid working achieves a good work/life balance for our colleagues, allowing us to connect with each other, collaborate on important work, and perform together to deliver for our customers. It allows us to have the flexibility to work remotely up to 2-days per week whilst also using the great office spaces we have available.

As a Motability Operations team member, you can expect:

• An annual discretionary bonus
• 15% non-contributory pension (9% non-contributory pension during probation period)
• Life assurance at 4 times your basic salary to give you peace of mind that your loved ones will receive some financial help
• Employee Discount Scheme with a huge number of retailers and an app to save on the go
• Discounted Electric/Hybrid Car Salary Sacrifice Scheme
• Access to the Cycle to Work Scheme (we have showers, changing rooms and secure bike sheds on site)

As well as financial benefits, our staff's health and well-being are very important to us, so we also offer:

• 28 days annual leave with option to purchase and sell days
• Funded Private Medical Insurance cover
• Critical illness insurance
• Free access to healthcare apps, such asPeppy, Unmind, Aviva Digital GP
• Funded health screening for over 50s
• 1 day per year to volunteer – Staff can support a local charity or do a sponsored event whilst being paid for it
• Access to our fully accessible company allotment – Where we grow our own produce for local charitable organisations
• Access to Prayer room and quiet spaces whilst working in the office

We also understand that not everyone is the same so offer several voluntary benefits that you can select outside the core package, these include;

• Dental Insurance
• Health and cancer screenings for you and your partner
• Discounted gym memberships
• Charitable giving

At Motability Operations, we believe in building a diverse workforce, where our people are empowered to attend work as their true selves, and we encourage people from all backgrounds to apply. We want to sustain a culture that nurtures, where employees are free to flourish and where they’re rewarded equally, regardless of race, nationality or ethnic origin, sexual orientation, age, disability, or gender.

We pride ourselves on being an inclusive employer and as such, all our offices provide first rate disability access. With our hybrid working environment, we do our best to accommodate part-time and flexible working requests where possible, building on our culture of trust, empowerment, and flexibility.

Please note, Motability Operations reserves the right to bring forward the closing date of any of its job vacancies if we receive a suitable number of quality applications from which to make a shortlist. Therefore, we recommend that you apply as soon as possible rather than wait until the published closing date.