Senior Risk Modelling Data Scientist

Direct Line; City Of London; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading insurance provider is seeking a Data Scientist to join their Motor Manufacturing Tribe. You will be responsible for analyzing large datasets, mentoring junior colleagues, and working collaboratively across various teams. Strong knowledge of SQL and Python is required, along with excellent communication skills and a numerate degree. This position offers a hybrid work model with excellent benefits.

Benefits

9% employer contributed pension

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

Optional Health and Dental insurance

Up to 10% AIP Bonus

Ev car scheme

Generous holidays

Employee discounts and cashback

Qualifications

• Previous experience in using data science techniques to analyse large datasets.
• Excellent problem-solving skills and an ability to anticipate outcomes for customers.
• General insurance pricing experience, preferably in personal lines.
• Familiarity with the WTW insurance software RADAR is desirable.

Responsibilities

• In depth analysis of large datasets using SQL, Python, and Radar.
• Sharing insights from analysis with stakeholders.
• Interacting with the deployment team to support pricing changes.
• Mentoring and supporting junior colleagues.

Skills

Data science techniques

SQL

Python

Stakeholder management

Communication skills

Presentation skills

Education

Numerate degree in Mathematics, Statistics or related subjects

Tools

RADAR

Job description

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.

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.
• Mentoring and Support to more junior colleagues.

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

• Previous experience 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.
• Experience using SQL & Python
• Strong stakeholder management, communication and presentation skills, with an ability to explain findings to both a technical and non- technical audience.
• General insurance pricing experience, preferably in personal lines and across a broad range of functions.
• Familiarity with the WTW insurance software RADAR is desirable but not essential.
• 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.