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- Tasks: Develop predictive models and analyse complex datasets to enhance decision-making.
- Company: Leading telecommunications company in London with a high-performing team.
- Benefits: Competitive salary, generous holiday allowance, and performance-related bonus.
- Why this job: Make a real impact in fraud detection and risk assessment using data science.
- Qualifications: Strong academic background in STEM and experience with SQL and Python.
- Other info: Join a dynamic team and drive data-driven strategies for success.
The predicted salary is between 36000 - 60000 £ per year.
A leading telecommunications company in London is seeking a Data Scientist to develop predictive models and analyze complex datasets. You will contribute to a high-performing team and help drive data-driven strategies that enhance decision-making, especially in fraud detection and risk assessment.
The role requires strong academic credentials in STEM fields and practical experience with SQL and Python. This opportunity includes a competitive salary and impressive benefits, including a generous holiday allowance and a performance-related bonus.
Fraud & Credit Risk Data Scientist (ML & NLP) in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud & Credit Risk Data Scientist (ML & NLP) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the telecommunications and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL and Python. This will give you an edge when discussing your experience during interviews and demonstrate your practical knowledge.
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning and natural language processing concepts. Practice coding challenges and be ready to explain your thought process clearly – we want to see how you tackle problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and contributing to our data-driven strategies.
We think you need these skills to ace Fraud & Credit Risk Data Scientist (ML & NLP) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as any relevant projects in fraud detection or risk assessment. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. Be specific about your experience and how it relates to the job description.
Showcase Your Academic Credentials: Since strong academic credentials in STEM fields are important for this role, make sure to include your qualifications prominently. We love seeing how your education has prepared you for tackling complex datasets and predictive modelling.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at hackajob
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of predictive modelling, especially in the context of fraud detection and risk assessment. Be ready to discuss your experience with SQL and Python, as well as any relevant projects you've worked on that showcase your skills.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data analysis and how you tackled them. Use examples that highlight your analytical thinking and ability to derive insights from complex datasets, as this is crucial for the role.
✨Understand the Company’s Goals
Research the telecommunications company and understand their approach to data-driven strategies. Being able to articulate how your work can contribute to their goals in fraud detection will show that you're genuinely interested and aligned with their mission.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. This could be about their current data initiatives or how they measure success in the role. It shows that you're engaged and eager to learn more about how you can fit into their team.
