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For Companies At a Glance
- Tasks: Tackle real-world business challenges using data science and analytics techniques.
- Company: Join LexisNexis Risk Solutions, a leader in risk assessment and analytics.
- Benefits: Enjoy private medical benefits, wellbeing programs, and extensive learning resources.
- Other info: Collaborative team environment with opportunities for mentoring and career growth.
- Why this job: Make a real impact by improving data-driven decisions across the insurance lifecycle.
- Qualifications: Experience in data science, proficiency in SQL, and knowledge of programming languages like Python or R.
The predicted salary is between 36000 - 60000 ÂŁ per year.
LexisNexis Risk Solutions is the essential partner for risk assessment. Within our Insurance business, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our solutions help drive better dataâdriven decisions across the insurance lifecycle, all while reducing risk and optimising processes.
About the Team
You will join a collaborative team of technical specialists who support data science initiatives across the UK, Ireland, and Europe. The team works closely with colleagues in Technology, Product, Account Management, Project Management, Marketing, Finance, and Legal to improve products and support dataâinformed decisionâmaking.
About the Role
This role is suited to an experienced data professional who enjoys working across a variety of projects. You will apply data science and analytics techniques to realâworld business challenges, contribute to new and existing products, and communicate insights clearly to a wide range of audiences.
We welcome candidates from diverse backgrounds and career paths who meet mostâbut not necessarily allâof the criteria below.
Responsibilities
- Contribute to data science projects across multiple business areas
- Design and build analytical solutions, including data processing, statistical analysis, and machine learning
- Explore new datasets and identify practical, highâvalue use cases
- Work collaboratively with technology, product, and data engineering teams to deliver reliable, productionâready solutions
- Communicate analytical findings clearly to both technical and nonâtechnical stakeholders
- Support project planning, including requirements, timelines, and delivery
- Help improve analytics platforms and cloudâbased workflows, including testing and migration activities
- Use a combination of openâsource and proprietary tools to develop solutions
- Share knowledge and support the development of colleagues through mentoring and collaboration
- Travel occasionally between the UK and Ireland for meetings or workshops, where required
Skills and Experience
- Professional experience in data science, analytics, or a related field
- Strong experience working with data, including extracting, cleaning, and transforming structured and semiâstructured data
- Proficiency in SQL and in at least one programming language such as Python or R
- Experience or interest in scalable data processing (e.g. distributed or cloudâbased systems)
- Understanding of data quality, integrity, and maintainable code practices
- Familiarity with version control and collaborative development practices
- Ability to communicate complex ideas clearly in writing and verbally
- Experience working in regulated or commercial environments is helpful but not required
- A degree or equivalent practical experience in a quantitative, technical, or analytical field
- Advanced degrees and formal certifications are valued but not essential
Working for you
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Private medical benefits
- Wellbeing programs
- Life assurance
- Group income protection
- Access to a competitive contributory pension scheme
- Employee Assistance Programme
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Senior Data Scientist in London employer: Lexis Nexis
Contact Detail:
Lexis Nexis Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data Scientist in London
â¨Tip Number 1
Network like a pro! Reach out to current employees at LexisNexis Risk Solutions on LinkedIn. A friendly message can go a long way in getting your foot in the door and showing your genuine interest in the company.
â¨Tip Number 2
Prepare for those interviews by brushing up on your data science skills. Be ready to discuss your experience with SQL, Python, or R, and think of real-world examples where you've tackled complex data challenges.
â¨Tip Number 3
Showcase your collaborative spirit! Since this role involves working with various teams, be prepared to share how you've successfully collaborated in past projects. Highlight your communication skills and ability to convey complex ideas clearly.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, it shows youâre serious about joining the team at LexisNexis Risk Solutions.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with data science, analytics, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our team. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Since this role requires strong technical abilities, make sure to highlight your proficiency in SQL, Python, or R. If you've worked with cloud-based systems or have experience in scalable data processing, let us know!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it's super easy!
How to prepare for a job interview at Lexis Nexis
â¨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in SQL and programming languages like Python or R. Be ready to discuss your experience with data extraction, cleaning, and transformation, as well as any projects you've worked on that showcase your analytical skills.
â¨Showcase Your Collaborative Spirit
Since this role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your ability to communicate complex ideas clearly to both technical and non-technical stakeholders, as this will be key in your new role.
â¨Prepare for Real-World Applications
Think about how you've applied data science techniques to solve real business challenges. Be ready to discuss specific use cases where your insights led to better decision-making or improved processes, as this will demonstrate your practical understanding of the field.
â¨Ask Insightful Questions
Prepare some thoughtful questions about the team, projects, and company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with your interviewers and make a memorable impression.