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Risk Modelling Data Scientist

Direct Line Insurance Group plc

London

Hybrid

GBP 45,000 - 60,000

Full time

Yesterday
Be an early applicant

Job summary

A leading insurance company in London seeks a Data Scientist to join their Motor Manufacturing Tribe. In this hybrid role, you will analyze large datasets using SQL and Python, present insights, and support pricing changes. Ideal candidates have a numerate degree and excellent problem-solving skills. Great benefits offered including a 9% pension contribution and 50% off insurance.

Benefits

9% employer contributed pension
50% off home, motor and pet insurance
Additional optional Health and Dental insurance
Up to 10% AIP Bonus
EV car scheme
Generous holidays
Employee discounts and cashback

Qualifications

  • Experience using SQL & Python.
  • Interest in data science techniques to analyze large datasets.
  • Ability to explain findings to technical and non-technical audiences.

Responsibilities

  • In-depth analysis of large datasets utilizing SQL and Python.
  • Presenting insights from analysis to stakeholders.
  • Supporting the release of pricing changes with the deployment team.

Skills

SQL
Python
Problem-solving
Communication

Education

Numerate degree in Mathematics, Statistics or related subjects
Job description
Overview

DLG is evolving. Across every facet of our business, our teams are embracing new opportunities and putting customers at the heart of everything they do. By joining them, you\u2019ll have the opportunity to not just be recognised for your skills but encouraged to build upon them and empowered to do your absolute best.


Pricing and Underwriting is a complicated world, where historical data, geospatial information, and mathematical models meet talented analysts. Pricing our products is a fine line between balancing our business goals and customer needs. That\u2019s why our Pricing Practitioners, Data Scientists and Underwriters are the best of the best. They reduce risk and predict future events ensuring our business can continue to grow whilst each and every one of our consumers gets the best price.


Role

Join us as a Data Scientist in our Motor Manufacturing Tribe. This role will sit in the Motor Risk Modelling Team and will work collaboratively with others across Motor Risk and Retail Pricing, as well as colleagues in Underwriting, Trading and Finance teams.


What you\u2019ll be doing

We\u2019ll utilise your skills where they are most needed whilst also giving you an opportunity to build and grow the breadth of your expertise. There will be scope to soak up new experiences and most importantly you\u2019ll positively influence and shape what we do - making an impact on our customers lives.


In this role, you will play a crucial part in developing our underlying core risk models by utilising data science techniques to ensure our competitiveness and profitability in a challenging marketplace. You will collaborate with cross-functional teams to analyse data, assess risk, and support business decisions through quantitative insights.


Your job responsibilities


  • In depth analysis of large datasets utilising a combination of SQL, Python and Radar.

  • Sharing any insights from this analysis both within and outside of the team. Including presenting to stakeholders from various business areas.

  • Interacting with our deployment team to support the release of pricing changes.

  • Supporting more senior colleagues in projects.


You\u2019ll report to a Band 5 Pricing Practitioner, and work alongside a team of experienced colleagues; between us we hold a breadth of experience across the industry, but we\u2019re always open to new approaches.


Our hybrid model offers a \u2018best of both worlds\u2019 approach. When you\u2019ll be in the office depends on your role and team, but colleagues spend at least 2 days a week in the office.


What you\u2019ll need


  • Experience using SQL & Python

  • Previous experience or a demonstrable interest in using data science techniques to analyse large datasets.

  • Excellent problem-solving skills, with an ability to consider multiple scenarios, understand the needs and anticipate outcomes for the customers.

  • Good communication and presentation skills, with an ability to explain findings to both a technical and non- technical audience.

  • A numerate degree in Mathematics, Statistics or related subjects.


Benefits

We recognise we wouldn\u2019t be where we are today without our colleagues, that\u2019s why we offer excellent benefits designed to suit your lifestyle:



  • 9% employer contributed pension

  • 50% off home, motor and pet insurance plus Green Flag breakdown cover

  • Additional optional Health and Dental insurance

  • Up to 10% AIP Bonus

  • EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way.

  • Generous holidays

  • Buy as you earn share scheme

  • Employee discounts and cashback

  • Plus, many more


We want everyone to get the most out of their time at DLG. Which is why we\u2019ve looked beyond the financial rewards and created an offer that takes your whole life into account. Supporting our people to work at their best - whatever that looks like - and offering real choice, flexibility, and a greater work-life balance that means our people have time to focus on the things that matter most to them. Our benefits are about more than just the money you earn. They\u2019re about recognising who you are and the life you live.


Be yourself

Direct Line Group is an equal opportunity employer, and we think diversity of background and thinking is a big strength in our people. We\u2019re delighted to feature as one of the UK\u2019s Top 50 Inclusive Employers and are committed to making our business an inclusive place to work, where everyone can be themselves and succeed in their careers.


We know you\u2019re more than a CV, and the things that make you, you, are what bring potential to our business. We recognise and embrace people that work in different ways so if you need any adjustments to our recruitment process, please speak to the recruitment team who will be happy to support you.


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