Data Scientist
4 weeks ago
We are seeking a skilled Data Scientist to join our Counter Fraud Department. As a key member of our team, you will be responsible for driving the identification and delivery of fraud reduction opportunities.
You will have specific responsibility for developing strategies through robust analytics, bringing statistical depth to identify fraudulent claims through the optimisation of existing fraud defence tools and development of ad hoc and strategic defence capabilities to improve our performance.
This role is key in reducing fraud and maximising benefits by applying statistical techniques and programming to develop fraud referral strategies.
Key Responsibilities- Drive development of fraud referral strategies in addition to identifying new sources of fraud referrals by sourcing, analysing, and drawing conclusions from disparate data sources.
- Utilise advanced statistical techniques to optimise strategies through SAS and open-source software to reduce fraud loss.
- Have an understanding and/or practical application of Machine Learning and AI to feed into current strategic development.
- Responsible for supporting the design and implementation of reporting and analysis to ensure that fraud claims benefit initiatives are accurately and effectively tracked, challenged, and reviewed.
- Support strategic & operational change activity through the clear articulation of business risk and current performance.
- Drive advancements in operations and contribute to increased Counter Fraud savings by supporting and developing claim cluster reporting.
- Create ad hoc reports for members of other teams within Counter Fraud to help increase benefits and reduce fraud.
- Keep strong relations with not only members of the Counter Fraud team but also other areas of the business that are connected.
- Experienced in Data Analytics, Statistics, Mathematics, or a related field.
- Previous experience of Insurance or Fraud strategy development is preferred.
- Solid understanding of data manipulation techniques and data modelling concepts.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Eagerness to learn and adapt to new technologies and methodologies in data analysis and programming.
We offer a range of benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Core benefits include:
- 9% employer contributed pension.
- 50% off home, motor and pet insurance plus free travel insurance and Green Flag breakdown cover.
- Life Assurance.
- Income Protection.
- Additional optional Health and Dental insurance.
- Generous holidays, 22 days (excluding bank holidays). Plus, the option of buying or selling up to 5 days each year.
- Buy as you earn share scheme.
- Employee discounts and cashback.
- Plus, many more.
Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone. When you'll be in the office depends on your role, but most colleagues are in 2 days a week, and we'll consider the flexible working options that work best for you. Read our flexible working approach
Being YourselfDifference makes us who we are. We believe everyone should feel comfortable to bring their whole selves to work – that's why we champion diverse voices, build workplaces that work for people, and invest in the things that matter. From senior leadership to inclusivity networks, adaptive working to inclusion training, we've made it our mission to give you everything you need to be authentically you. Discover more at directlinegroupcareers.com.
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