At a Glance
- Tasks: Join our data team to enhance machine learning and data processing for a cutting-edge AVM.
- Company: Be part of a FTSE 100 company driving innovation in the data space.
- Benefits: Enjoy a collaborative environment with recognition for your contributions and growth opportunities.
- Why this job: Make a real impact on high-profile projects while working with innovative technologies.
- Qualifications: Strong communication skills and experience in agile teams are essential.
- Other info: This role is perfect for those who thrive under pressure and love tackling challenges.
The predicted salary is between 36000 - 60000 £ per year.
Exciting Opportunity with the Data Team Overview Join our dynamic data team during this thrilling period of growth. As key contributors in shaping the future of a FTSE 100 company, we are proud to have developed a cutting-edge Automated Valuation Model (AVM). We are seeking a skilled Data Scientist to enhance our machine learning (ML), analysis, modelling, and data processing capabilities. Your insights and contributions to this high-profile project will be prominently recognized and valued. Responsibilities – Implement existing methodologies to create robust house price indices. Collaborate with the Principal Data Scientist to improve valuation performance in niche geographic areas. Advance our AVM models to ensure they are at the forefront of innovation. Design and roll out new valuation models and techniques leveraging millions of unique data points. Analyze and interpret model results, delivering actionable insights to stakeholders. Skills Required Outstanding communication skills, both verbal and written. Proven experience thriving in small, agile teams or SMEs (Small to Medium Enterprises). A proactive “can-do” attitude with a commitment to supporting fellow team members. Ability to excel under pressure and consistently meet deadlines. Essential Qualifications
Data Scientist employer: e.surv Chartered Surveyors
Contact Detail:
e.surv Chartered Surveyors Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in machine learning and data science. Being able to discuss recent advancements or tools during your interview can showcase your passion and commitment to the field.
✨Tip Number 2
Prepare to discuss specific projects where you've implemented data models or analysis techniques. Highlighting your hands-on experience will demonstrate your capability to contribute effectively to our team.
✨Tip Number 3
Practice articulating complex data concepts in simple terms. Since outstanding communication skills are essential, being able to explain your work clearly will set you apart from other candidates.
✨Tip Number 4
Showcase your ability to work in agile teams by sharing examples of collaboration and problem-solving. We value a proactive attitude, so demonstrating how you've supported your teammates will resonate well with us.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Data Scientist position. Understand the key responsibilities and required skills, and think about how your experience aligns with them.
Tailor Your CV: Customize your CV to highlight relevant experience in machine learning, data analysis, and modeling. Use specific examples that demonstrate your ability to work in agile teams and deliver results under pressure.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your proactive attitude. Mention specific projects or achievements that relate to the responsibilities outlined in the job description.
Highlight Communication Skills: Since outstanding communication skills are essential for this role, ensure that your application reflects your ability to convey complex ideas clearly. Provide examples of how you've successfully communicated insights to stakeholders in the past.
How to prepare for a job interview at e.surv Chartered Surveyors
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning, data analysis, and modeling. Bring examples of past projects where you implemented methodologies similar to those mentioned in the job description.
✨Communicate Clearly
Since outstanding communication skills are essential, practice explaining complex data concepts in simple terms. This will demonstrate your ability to convey insights effectively to stakeholders.
✨Demonstrate Team Collaboration
Share experiences where you thrived in small, agile teams. Highlight how you supported your team members and contributed to collective goals, showcasing your proactive attitude.
✨Prepare for Pressure Scenarios
Think of examples from your past where you excelled under pressure and met tight deadlines. Be ready to discuss how you managed stress and maintained productivity in challenging situations.