Principal Data Science in London

Principal Data Science in London

London Full-Time 76500 - 104500 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead innovative data science solutions to enhance business and customer outcomes.
  • Company: Join Aviva, a leader in the evolving insurance industry.
  • Benefits: Competitive salary, bonus opportunities, generous pension, and 29 days holiday.
  • Other info: Flexible working options and a commitment to inclusivity.
  • Why this job: Make a real impact with cutting-edge data science in a supportive environment.
  • Qualifications: Experience in data science leadership, particularly in Pricing & UW Analytics.

The predicted salary is between 76500 - 104500 £ per year.

Aviva are looking for a dynamic Principal Data Scientist to support our Retail team. An exciting opportunity has arisen to join our high-profile data science team. The insurance industry is evolving in an age of rapid technological development, and as an organisation Aviva are investing in strengthening machine learning and analytics as a distinctive capability. The team is recognised as a centre of excellence in our Global Data Science Department – providing new data-driven insights that improve decision making across the Aviva Group.

A bit about the job:

  • You will be a data science leader within the Personal Lines business.
  • You will be working closely with stakeholders across the Personal Lines business to understand the challenges being faced and then lead on the execution of innovative data science solutions to drive better business and customer outcomes for our Retail business.
  • You will build an excellent understanding of the business, its strategy, and its objectives.
  • You will lead a team focussed on delivering solutions to support those objectives and exercise license to be creative in exploring new and innovative ways of generating value from data.

The ideal candidate will also have experience of being a data science leader within the Pricing & UW Analytics field of personal lines insurance.

Skills and experience we’re looking for:

  • A track record of solving complex non-routine problems with expertise in some of the following areas: Statistics, Machine Learning, Deep Learning & AI.
  • Excellent communication and stakeholder management skills - able to communicate complex ideas in an understandable way often to non-specialists.
  • Good commercial acumen skills and can think and act strategically.
  • Ability to deliver projects, working collaboratively with colleagues across the business, or external suppliers.
  • Highly numerate and/or educated to degree or postgraduate (MSc) in a field such as Mathematics, Statistics or Computer Science would be an advantage for this role.

What you’ll get for this role:

  • Salary circa £85,000 for National based and London circa £95,000 (depending on location, skills, experience, and qualifications).
  • Bonus opportunity 12% of annual salary - Actual amount depends on your performance and Aviva’s.
  • Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in.
  • 29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days.
  • Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts.
  • Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme.
  • Brilliantly supportive policies including parental and carer’s leave.
  • Flexible benefits to suit you, including sustainability options such as cycle to work.
  • Make a difference, be part of our Aviva Communities and use your 3 paid volunteering days to help others.
  • We take your wellbeing seriously with lots of support and tools.

Aviva is for everyone: We’re inclusive and welcome everyone – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.

We interview every disabled applicant who meets the minimum criteria for the job.

Principal Data Science in London employer: Aviva

Aviva is an excellent employer for a Senior Business Analyst, offering a dynamic hybrid working environment in Bristol or York. With a strong focus on employee growth and flexible working arrangements, Aviva fosters a collaborative culture that empowers individuals to thrive while contributing to significant transformation programmes in Third Party Risk Management. The company provides competitive benefits and the opportunity to engage in meaningful projects that drive real impact across multiple markets.

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Contact Details:

Aviva Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Data Science in London

✨Get Involved in Data Science Meetups

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We think you need these skills to ace Principal Data Science in London

Statistics
Machine Learning
Deep Learning
Artificial Intelligence
Communication Skills
Stakeholder Management
Commercial Acumen

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Aviva, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Aviva. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Aviva

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Aviva!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.