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- Tasks: Lead the design and implementation of cutting-edge ML/AI models in a dynamic environment.
- Company: Join a renowned UK insurance company making waves in data science innovation.
- Benefits: Enjoy a hybrid work model with competitive salary and opportunities for professional growth.
- Why this job: Be at the forefront of technology, mentoring a team while driving impactful projects.
- Qualifications: 4+ years in data science, preferably in insurance; experience with LLMs is a plus.
- Other info: This role does not offer sponsorship, so applicants must have the right to work in the UK.
The predicted salary is between 64000 - 88000 £ per year.
We are working with a household name in the UK insurance space on the search for a Lead Data Scientist. They are looking for someone to help spearhead their Machine Learning Initiatives. In this role, you will have the opportunity to be either a technical lead or more of a people manager.
RESPONSIBILITIES:
- Lead the end-to-end design, development, and implementation of ML/AI models.
- Develop and deploy Large Language Models (LLMs) and/or internal chatbot systems.
- Collaborate with cross-functional teams to identify opportunities for leveraging data-driven insights.
- Mentor and develop a team of data scientists, fostering a collaborative and innovative work environment.
- Stay ahead of industry trends and emerging data technologies, bringing fresh perspectives and solutions to the organization.
REQUIREMENTS:
- 4+ years in data science, with a strong preference for experience in the insurance or financial services sector.
- Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a strong advantage.
- Proven experience managing and mentoring a team of data professionals, with a commitment to fostering a collaborative environment.
If this role looks of interest, please apply here. Please note: At this time, this role cannot offer sponsorship.
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Make sure to showcase your experience with Machine Learning and AI in your conversations. Highlight specific projects where you've led the design and implementation of models, especially in the insurance or financial services sector.
✨Tip Number 2
Familiarise yourself with the latest trends in Large Language Models and Natural Language Processing. Being able to discuss recent advancements or tools like Hugging Face or OpenAI will demonstrate your commitment to staying ahead in the field.
✨Tip Number 3
Prepare to discuss your leadership style and how you’ve successfully mentored data professionals in the past. Be ready to share examples of how you've fostered collaboration and innovation within your teams.
✨Tip Number 4
Network with professionals in the insurance industry and attend relevant meetups or conferences. This can help you gain insights into the specific challenges they face and how your skills can address those needs.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in the insurance or financial services sector. Emphasise any work you've done with machine learning initiatives and LLMs.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your background aligns with the company's needs. Mention specific projects where you've led teams or developed ML models.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, especially those related to NLP frameworks like Hugging Face or OpenAI. This will demonstrate your capability to handle the responsibilities of the role.
Highlight Leadership Experience: Since the role involves mentoring and leading a team, be sure to include examples of your leadership experience. Discuss how you've fostered collaboration and innovation in previous roles.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Expertise
As a Lead Data Scientist, you'll need to demonstrate your proficiency in machine learning and AI. Be prepared to discuss specific projects where you've developed and deployed models, especially Large Language Models or chatbots. Highlight your experience with relevant frameworks like Hugging Face or OpenAI.
✨Emphasise Leadership Skills
Since this role involves mentoring and managing a team, it's crucial to showcase your leadership abilities. Share examples of how you've successfully led teams, fostered collaboration, and nurtured talent in previous roles. This will show that you're not just a technical expert but also a capable leader.
✨Stay Updated on Industry Trends
The insurance sector is rapidly evolving, so it's important to stay informed about the latest trends and technologies. Research recent advancements in data science and AI, particularly those relevant to insurance. Being able to discuss these trends during your interview will demonstrate your commitment to innovation.
✨Prepare for Cross-Functional Collaboration
Collaboration is key in this role, so be ready to discuss how you've worked with other teams in the past. Prepare examples of how you've identified opportunities for leveraging data-driven insights across different departments. This will highlight your ability to work effectively in a cross-functional environment.
