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Data Scientist (9 Months Fixed Term Contract)

Motability Operations Ltd

City of Edinburgh

Hybrid

GBP 35,000 - 55,000

Full time

Today
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Job summary

This innovative firm is seeking a Data Scientist to leverage data science and modeling techniques to tackle critical challenges related to electric vehicle adoption and customer affordability. You will build machine learning models and analyze customer behavior, providing actionable insights that drive business decisions. Collaborating with various stakeholders, you will ensure that your analyses lead to impactful solutions for the business. Join a forward-thinking organization that values diversity and offers a hybrid working environment, allowing you to balance office and remote work while contributing to a meaningful mission.

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
Electric/Hybrid Car Salary Sacrifice Scheme
Life assurance
Funded health screening for over 50s
Employee Discount Scheme

Qualifications

  • Experience in building Machine Learning models and applying Data Science techniques.
  • Strong programming skills in Python and SQL with cloud platform familiarity.

Responsibilities

  • Build Machine Learning models to predict customer behaviour and scheme misuse.
  • Provide insights using statistical methods and create dashboards for key insights.

Skills

Machine Learning
Data Science techniques
Python
Statistical analysis
SQL
Natural Language Processing (NLP)
Stakeholder management

Education

Degree in applied statistics/Data Science/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 is 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
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.
  • Be able to provide clear and tangible examples of time 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 audience 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 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.

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