At a Glance
- Tasks: Drive improvements in customer experience through data-driven optimisation and experimentation.
- Company: Join Experian, a global leader in data and technology with a diverse team.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on innovation and continuous improvement.
- Why this job: Make a real impact by enhancing customer journeys and unlocking financial opportunities.
- Qualifications: Experience in A/B testing, data analysis, and a passion for improving digital experiences.
The predicted salary is between 40000 - 50000 £ per year.
Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job Description
Why this role is important to us
At Experian Consumer Services, Identity Plus is central to helping customers protect their identity while unlocking financial opportunities. This role is important in driving continuous improvement across our digital journeys using data, experimentation and personalisation to enhance customer experience and deliver measurable commercial growth. This is a hybrid role based in our London office.
Work that matters
What you'll do
- Deliver the optimisation and experimentation roadmap for Identity Plus, driving improvements in conversion, engagement and retention
- Design, implement and analyse A/B tests end-to-end, turning insights into relevant outcomes
- Identify and deliver opportunities for upsell, cross-sell and churn reduction
- Manage and prioritise the eCommerce testing backlog following organisational goals
- Collaborate with Product, Analytics, UX and Engineering
Optimisation Executive in London employer: Experian
Experian is an exceptional employer that champions innovation and personal growth, offering a dynamic work culture in the heart of London. With a commitment to employee development and a focus on leveraging advanced technologies, team members are empowered to make impactful contributions while enjoying a hybrid work environment that promotes work-life balance. Joining Experian means being part of a global team dedicated to unlocking opportunities for individuals and businesses alike.
StudySmarter Expert Advice🤫
We think this is how you could land Optimisation Executive in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Experian!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Optimisation Executive at Experian.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Experian.
✨Apply Directly through Our Website
When you find a suitable opening like Optimisation Executive at Experian, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Optimisation Executive in London
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 Experian, 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 Experian. 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 Experian
✨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 Experian!
✨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.
