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- Tasks: Join us as a Data Scientist, managing model life cycles and building predictive models.
- Company: Work with a leading insurance client in London, embracing hybrid work culture.
- Benefits: Enjoy a competitive salary of £78,000 and flexible working options.
- Why this job: Make an impact by turning complex data into actionable insights in the insurance sector.
- Qualifications: Strong Python skills and experience with statistical modelling and NLP techniques required.
- Other info: Open to day rate contractors; start date is mid-July.
The predicted salary is between 46800 - 78000 £ per year.
A Data Science role with a company you\’ll love.*There\’s no VISA sponsorship for this roleThe role is actually titled as a \”Lead\”, that is due to owning your particular workstream, so you can put your own stamp on things, it is not leading a team however. It can suit people with as little as 4 years experience.The salary is 64K base with a 5% bonus (half of which is guaranteed, the other half, usually achieved) I appreciate more money can be gotten elsewhere, I still think these guys are great. fantastic environment and people. the candidates we\’ve placed there are really engaged and sing its praises!So, if theisn\’t your main driver and you\’re interested in growing within in a chipper team lets have a chat.Hybrid – 2 days a week close to London bridge. (Some weeks may be one day)ResponsibilitiesLead the delivery of analytical and machine learning workstreamsUphold best practices in coding, documentation, reproducibility etcOccasionally mentoring more junior peersThey\’re pretty cloud agnostic, Azure would be great though. Looking for the below skill set:Required SkillsExp delivering applied data science or ML projects, including feature engineering, model selection, evaluation etcExperience in translating business problems into analytical approaches, and designing modelling strategies.Strong PythonAmazing if you have exp with a range of ML & agentic frameworks#J-18808-Ljbffr
Contact Detail:
Revoco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the insurance domain. Understanding the specific challenges and opportunities in this field can give you an edge during discussions and interviews, showing your genuine interest and expertise.
✨Tip Number 2
Network with professionals in the data science and insurance sectors. Attend relevant meetups or webinars to connect with industry insiders who might provide insights or even referrals for the position.
✨Tip Number 3
Brush up on your Python skills, especially in relation to statistical modelling and machine learning. Consider working on personal projects or contributing to open-source projects that showcase your abilities in these areas.
✨Tip Number 4
Prepare to discuss your experience with cloud-based platforms like AWS SageMaker and Databricks. Be ready to share specific examples of how you've deployed models in previous roles, particularly in the context of the insurance industry.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the key responsibilities and required skills. Highlight your experience with statistical modelling, machine learning, and NLP techniques in your application.
Tailor Your CV: Customise your CV to reflect your expertise in Python, AWS SageMaker, and any relevant tools mentioned in the job description. Use specific examples of projects where you've managed the model life cycle or deployed predictive models.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and the insurance domain. Mention how your skills align with the company's needs and express your enthusiasm for the opportunity to contribute.
Proofread Your Application: Before submitting, thoroughly proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data science roles.
How to prepare for a job interview at Revoco
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in Python and statistical modelling techniques. Bring examples of past projects where you've successfully built and deployed predictive models, especially in the insurance domain.
✨Demonstrate Your Problem-Solving Ability
Expect questions that assess your analytical thinking. Prepare to explain how you approach complex data problems and turn them into actionable insights, particularly through the use of NLP techniques.
✨Familiarise Yourself with Relevant Tools
Make sure you know your way around AWS SageMaker, Databricks, and other cloud-based platforms. Be ready to discuss how you've used these tools in previous roles to enhance model scalability.
✨Prepare Questions About the Role
Show your interest by preparing thoughtful questions about the company's data strategy and how they leverage data science in the insurance sector. This demonstrates your enthusiasm and helps you gauge if it's the right fit for you.