Data Scientist - Connected Vehicles London, England
Motability Operations
Full Time
London, England
46847 - 58022 GBP ANNUAL Today
Job description
About The Role
We are looking for a Data Scientist to join the Connected Vehicles team at Motability Operations – operators of the UK’s largest fleet.
Joining a relatively new team that sits within the Innovation function this role offers a fantastic opportunity to help shape the development of our capabilities and strategy for this workstream. Connected Vehicle data offers the opportunity to transform the way fleets are managed and the team are delivering multiple projects exploring the value of connected vehicle data to a variety of areas including Service, Maintenance and Repair, Customer Experience and Vehicle Remarketing.
As a Data Scientist in the Connected Vehicles team you will work as part of a multidisciplinary team working closely with stakeholders across the business to find ways to deliver data-driven solutions that solve key challenges and deliver customer and commercial value.
About You
You will have gained the following skills/experience:
- 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 enjoy working in a multi-disciplinary team and are highly collaborative.
- You are comfortable working across multiple workstreams / projects at the same time.
- 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
- You are a team player and enjoy working with others to deliver shared goals.
Minimum Criteria
- Experience / knowledge of the automotive industry.
- Advanced analytics and data science experience.
- Knowledge of Python.
- Experience using SQL; Java or C++
- Demonstrable experience delivering data science projects.
- Strong data manipulation and statistical analysis skills.
- Experience implementing Machine Learning algorithms and statistical models.
- An undergraduate or postgraduate degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a similar quantitative field is required.
Desirable Criteria
- AWS Certification.
- Experience of using Terraform.
- Experience of working with connected vehicle data.
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 630,000 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
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
As a Motability Operations team member, the benefits you can expect are:
- Competitive reward package including an annual discretionary bonus
- 15% non-contributory pension (9% non-contributory pension during probation period)
- 28 days annual leave with option to purchase and sell days
- 1 day for volunteering
- Funded Private Medical Insurance cover
- Electric/Hybrid Car Salary Sacrifice Scheme and Cycle to Work Scheme
- Life assurance at 4 times your basic salary to give you a peace of mind that your loved ones will receive some financial help
- Funded health screening for over 50s
- 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
- Employee Discount Scheme with an app to save on the go
- Free access to healthcare apps such as Peppy, Unmind, Aviva Digital GP and volunteering app on Hand for all employees
- Generous family leave policies
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.
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.
Motability Operations
https://www.motabilityoperations.co.uk/
London, United Kingdom
Andrew Miller
Unknown / Non-Applicable
1001 to 5000 Employees
Non-profit Organisation
Civic, Welfare & Social Services
1977
