At a Glance
- Tasks: Lead data science projects and develop predictive models to solve complex business problems.
- Company: Join a collaborative and innovative company that empowers progress.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with excellent career advancement opportunities.
- Why this job: Make a real impact by using advanced analytics to drive business decisions.
- Qualifications: Experience in data analytics, strong skills in Python and SQL, and a degree in a quantitative field.
The predicted salary is between 70000 - 90000 £ per year.
With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
Job Responsibilities
- Work closely with business partners to understand the business problems they are trying to solve and help develop and prioritize the best-suited analytics solutions.
- Collaborate in cross-functional teams and share ideas to solve complex business problems.
- Build strong partnerships with peers across the organization to support project goals and broader team needs.
- Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, natural language processing and other machine learning approaches.
- Develop powerful insights using a variety of analytical tools, techniques, and technologies, and deliver results into the business which drive business decisions.
- Discover, explore and analyse internal and external datasets for the purpose of developing advanced analytics models.
- Help establish best practices and repeatable processes for the Strategic Analytics team.
- Provide thought leadership on new, innovative techniques, approaches and software.
- Guide, support, mentor and develop the growing team of predictive modelers and data scientists.
Desired Skills/Experience
- Ability to design, build and implement statistical models, with an understanding of a range of analytical techniques such as predictive modelling, NLP and data mining.
- Data manipulation and analytical skills in languages such as Python and SQL.
- Knowledge of modern visualization tools such as PowerBI is a plus.
- Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential.
- Effective task/project management and general organization skills.
- Excellent verbal and written communications skills; ability to convey complex concepts to technical and non-technical people across the organization.
- Exceptional teamwork skills required to play a key role in cross-functional teams.
- Ability to collaborate and build trusting relationships with business partners.
- Natural curiosity to understand the world around you and question as needed.
- Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces.
- Ability to apply critical thinking and creative problem-solving skills.
Required Skills/Experience
- Experience in advanced analytics roles, a significant portion of which should be in the insurance industry.
- Experience working in an analytical role within a London Market insurance environment is a significant advantage.
- Hands-on experience developing and deploying real-time predictive models in the London Market.
- Experience delivering business value from small or non-standard data sets.
Education
- Degree in statistics, mathematics, computer science, engineering or similar quantitative fields; or significant experience in advanced data analytics.
Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.
Senior Data Science & ML Lead employer: Mcneil & Co.
At Arch Europe Insurance Services Ltd, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to reach their full potential. With a strong focus on professional development and mentorship, we offer unique opportunities for growth within the dynamic London Market insurance environment. Join us to be part of a team that not only values your contributions but also inspires you to drive meaningful change in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Science & ML Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Arch or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving predictive models or analytics solutions. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding the latest trends in data science and machine learning. Be ready to discuss how you've tackled complex problems in the past and how you can bring value to Arch.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you can set up job alerts to stay updated on new openings that match your skills and interests.
We think you need these skills to ace Senior Data Science & ML Lead
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Data Science & ML Lead role. Highlight your experience with predictive modelling and analytics techniques that align with our needs. We want to see how your skills can help us enable possibility!
Showcase Your Collaboration Skills:Since we value teamwork, don’t forget to mention your experience working in cross-functional teams. Share examples of how you’ve built strong partnerships and tackled complex problems together. This will show us you’re a great fit for our collaborative culture.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to convey your ideas and experiences. We appreciate excellent communication skills, so make sure your written application reflects that!
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’re considered for the role. Plus, you can easily keep track of your application status!
How to prepare for a job interview at Mcneil & Co.
✨Know Your Analytics Inside Out
Make sure you brush up on your knowledge of advanced analytics techniques like predictive modelling and NLP. Be ready to discuss how you've applied these in real-world scenarios, especially in the insurance industry. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Collaboration Skills
Since the role involves working closely with cross-functional teams, prepare examples of how you've successfully collaborated in the past. Highlight specific projects where teamwork led to innovative solutions. This will demonstrate your ability to build strong partnerships and contribute to a collaborative culture.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your critical thinking and problem-solving skills. Think of complex business problems you've tackled before and be ready to explain your thought process. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Familiarise Yourself with Tools and Technologies
While familiarity with tools like PowerBI, Databricks, and Azure is a plus, make sure you know the basics. If you have experience with Python and SQL, be prepared to discuss specific projects where you used these languages. Showing that you're tech-savvy will give you an edge in the interview.
