At a Glance
- Tasks: Analyse use cases and translate business needs into engineering-ready specs.
- Company: Join EXL, a global leader in data and AI solutions.
- Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
- Other info: Collaborate with experts in a dynamic and innovative environment.
- Why this job: Be part of a transformative project migrating analytics to the cloud.
- Qualifications: Experience in data analysis and cloud technologies required.
The predicted salary is between 56700 - 69300 £ per year.
EXL is a global data and AI company seeking risk and data professionals to support a large-scale transformation programme migrating analytical EUCs from SAS to GCP. The role analyses use cases, understands business and data requirements, and translates them into engineering-ready specifications. You will identify opportunities to reuse and enhance Consumer Data Products across use cases. The position involves working with Risk SMEs, Business Analysts, SAS/GCP Architects and Engineering teams.
Senior Data & Risk Solutions Architect (GCP/SAS to Cloud) in London employer: exl
EXL is an excellent employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and skill enhancement, particularly in the dynamic field of data analytics and insurance. Our commitment to work-life balance and a supportive environment makes EXL a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & Risk Solutions Architect (GCP/SAS to Cloud) 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 exl!
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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 exl.
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We think you need these skills to ace Senior Data & Risk Solutions Architect (GCP/SAS to Cloud) 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 exl, 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 exl. 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 exl
✨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 exl!
✨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.
