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Risk Modelling Data Scientist
Direct Line Group Careers
Bristol
Híbrido
GBP 40.000 - 60.000
Tempo integral
Há 12 dias

Resumo da oferta

A leading insurance provider is seeking a Data Scientist to join its Motor Manufacturing Tribe. The role involves analyzing large datasets using SQL and Python, collaborating with various teams, and developing risk models to enhance profitability. Excellent communication skills and a degree in Mathematics or Statistics are required. This position offers a hybrid work model, contributing to your work-life balance while delivering impactful insights.

Serviços

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

Qualificações

  • Experience using SQL and Python.
  • Prior experience or interest in data science techniques.
  • Excellent problem-solving skills.

Responsabilidades

  • Analyze large datasets using SQL, Python, and Radar.
  • Present insights to stakeholders.
  • Support the release of pricing changes.

Conhecimentos

SQL
Python
Data science techniques
Problem-solving skills
Communication skills

Formação académica

Degree in Mathematics, Statistics or related subjects
Descrição da oferta de emprego

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’ll 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’s 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.

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\'ll be doing

We’ll 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’ll 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 may include:

  • 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’ll 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’re always open to new approaches.

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

What you\'ll 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\'t be where we are today without our colleagues, that\'s 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’ve 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’re 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\'re delighted to feature as one of the UK\'s 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\'re 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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* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.

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