All new
Data Science
jobs, in one place.

Updated daily to help you be the first to apply ⏱

avatar4avatar1avatar5avatar3avatar2
Senior Credit Analyst/ Data Scientist
  • Python
  • SQL
  • Scala
E.ON
Nottingham
112 days ago

Senior Credit Analyst/ Data Scientist

Here's what you'll be doing

Help us stay one step ahead

Data Scientists

Salary: £42,287 - £53,990
Location: Trinity House, Nottingham

E.ON is a global provider of specialised energy solutions. Everything we do is about the customer. Whether we’re providing them with reliable energy or creating innovative solutions, our teams work hard to make the lives of customers better.

Right now, we’re looking for Data Scientists to join our expanding debt prevention analytical team which is focused on predicting debt before it happens. This is a relatively new team with significant scope for impact and we will welcome your ideas about how we can do things better.

It will be down to you to carry out detailed analysis of the root causes behind our debt portfolio, identifying and prioritising areas where debt can be prevented before it arises. You’ll develop options and make suitable recommendations for changes to our company-wide processes, policies and implementation plans with a view to reducing new debt inflows, increasing sustainable earnings and ensuring our customers are treated fairly.

On a day-to-day level, you can expect to be manipulating data in order to build credit risk and propensity models – using statistical segmentation and data science techniques to help reduce our risk of future bad debt. We’ll also need you to provide cost or benefit evaluations for any process and policy changes (using your findings to improve the success of future activity), and provide concise, audience-tailored stakeholder communications relating to debt performance.

As well as this, you’ll partner with the wider Operations business to ensure that our debt prevention data is embedded in our performance reporting, and you’ll collaborate with and constructively challenge our Finance Business Partners to drive improved data quality and other debt prevention activities. Your role will also involve influencing our Credit Transformation programme and broader Change initiatives to promote a culture of data-driven insight and decision making. Lastly, you’ll provide research and develop techniques to help us increase customer response rates and improve payment behaviour, working closely with our Customer Insight and Marketing Communications teams.

Because this is such a collaborative role, it’s vital that you can explain technical data clearly and interpret results in a meaningful and concise way. You’re going to be working with senior-level stakeholders and other analysts across the business so confidence, pragmatism and strong influencing skills are a must. You should be an excellent relationship builder; someone who can mentor and motivate others whilst also driving your own progression and taking your skills to the next level.

What we need from you

  • Experience of developing customer analysis models and the application of statistical techniques using modelling languages such as R, Python, Scala etc.
  • Proven ability to manipulate large data sets using SQL.
  • Significant commercial experience with a degree in a numerate discipline – you’ll certainly need to have an A-level in Maths (or equivalent qualifications).
  • The ability to identify and solve problems by applying a creative, highly analytical approach and introducing imaginative solutions where no previous framework exists.
  • A strong appreciation of, and advocacy for, the importance of high-quality customer data in a mass retail environment.
  • Excellent communication skills – you’ll be able to summarise complex information for audiences at all levels and from a range of backgrounds.
  • The ability to drive progress by making sound assumptions and commercial judgements, even when you don’t have perfect information.

It would be great if you had

  • A background in energy or financial services.

Here's what else you need to know

  • The role is based in Nottingham.
  • This is a permanent role.
  • Due to the nature of the roles a DBS (Disclosure Barring Service) check will be required.

What we will give you in return

  • 26 days’ holiday plus 8 bank holidays.
  • Pension scheme with generous contributions from E.ON.
  • Comprehensive flexible benefits scheme.
  • Voluntary benefits – discount and cashback.


E.ON is committed to equal opportunities and actively promotes diversity, equality and flexibility.

At a glance

Reference no.:

121461

Preferred start:

Closing date:

20/07/2020

Salary:

£42,287 - £53,990

Get in touch

For more information about this role, please contact vikki.reeves@eon-uk.com

About us

E.ON is a privately owned international energy company. Our 42,000 colleagues in 13 countries work daily towards the improvement of technical innovations and user-friendly customer solutions for the new energy world. We are the first large energy company to focus more heavily upon the energy of the future through our three business areas of energy networks, renewable energies and customer solutions.

Connect with us


www.eon-uk-careers.com

#Working@E.ON

    Related Jobs

  • Data Scientist - Causal Inference

    • Python
    • Bayesian
    • Machine Learning
    Deliveroo
    London
    12 days ago
  • Data Scientist - Economist

    • Python
    • SQL
    • Machine Learning
    Deliveroo
    London
    12 days ago
  • Data Scientist - Algorithms

    • Machine Learning
    Deliveroo
    London
    12 days ago
  • Data Analyst / Engineer

    • Azure
    • Python
    • SQL
    Robert Walters
    Manchester
    10 days ago
  • SEO Data Analyst

    • Python
    • Machine Learning
    • BigQuery
    Sage
    Winnersh
    10 days ago