Data Scientist (9 Months Fixed Term Contract)

Motability Operations; Bristol; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

An established industry player is seeking a Data Scientist to leverage data science and modeling techniques to address critical questions around electric vehicle adoption and customer behavior. This role involves building machine learning models, providing actionable insights, and collaborating with key stakeholders to drive data-driven decisions. The ideal candidate will possess strong programming skills in Python and SQL, along with experience in statistical analysis and cloud platforms. Join a forward-thinking organization that values diversity and offers a hybrid working environment, competitive rewards, and numerous employee benefits to enhance your work-life balance.

Benefits

Annual discretionary bonus

15% non-contributory pension

28 days annual leave

Free fresh fruit and snacks

1 day for volunteering

Funded Private Medical Insurance

Life assurance at 4 times salary

Employee Discount Scheme

Free access to healthcare apps

Generous family leave policies

Qualifications

• Strong experience in building Machine Learning models using Python.
• Experience with cloud-based data stores and querying data with SQL.

Responsibilities

• Build Machine Learning models to predict customer behaviour and scheme misuse.
• Provide insights using statistical methods and analyse customer research data.

Skills

Machine Learning

Data Science Techniques

Python

Statistical Analysis

SQL

Natural Language Processing

Stakeholder Management

Education

Degree in Applied Statistics

Degree in Data Science

Degree in Mathematics

Tools

Snowflake

Sagemaker

Job description

About The Role

9 Months Fixed Term Contract

The Data Science role is responsible for using Data Science and modelling techniques to address critical questions for both the business and our customers. This includes understanding the challenges our customers face with regards to electric vehicle (EV) adoption, understanding how rising costs will impact customers' affordability thresholds and identifying key data points that indicate potential misuse of the Scheme. These are some of the primary issues that this role will help resolve.

The role sits within the Data Science and Analytics team and will be primarily focused on using data to identify potential misuse of the Motability Scheme. The postholder will collaborate with key stakeholders within the business to understand and agree requirements for data can be used to help the business make decisions on tackling this key issue.

On a day-to-day basis, the postholder will be tasked with using their technical skills to help the team deliver key pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use.

Main Responsibilities

• Building Machine Learning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business undergoes transformation to become data driven and make evidence-based decisions.
• Provide insight into customer behaviour, choices and preferences using statistical methods such as regression and hypothesis testing to analyse data from our customer database.
• Building dashboards that are able to tell a story and provide the business with key insights on customer behaviour.
• Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling.
• Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and support the process.
• Supporting the team in meeting ad hoc requests for customer insights from the rest of the business.

About You

The ideal person will have:

• Strong experience in building Machine Learning models and applying Data Science techniques using Python.
• Strong data manipulation and statistical analysis experience gained through experience working in various industries.
• Ability to provide clear and tangible examples of times when your insights and analysis have made an impact on a business.
• Strong programming skills in Python and SQL and a familiarity with working with cloud platforms such as Snowflake and Sagemaker.
• Ability to communicate with both technical and non-technical audiences and strong stakeholder management experience.

Minimum Criteria
You'll need all of these:

• Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics.
• Strong experience using machine learning to solve business problems involving both structured and unstructured data.
• Experience of working with cloud-based data stores such as Snowflake and strong experience querying data with SQL.
• Demonstrable analytical problem-solving capabilities.

Who You'll Be Working With
You will work with Data Scientists and Analysts within the Customer Insights and Analytics team. You will also work closely with experts within Insurance, repairs, commercial operations and customer services to understand the business needs and our customers. The role will involve day-to-day communication with key stakeholders to ensure that insights are communicated and implemented through the business.

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 815,000 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, 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
• Free fresh fruit and snacks in the office
• 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 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.