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- Tasks: Lead the development of an AI-driven data and video platform.
- Company: Join an ambitious start-up revolutionizing data management with cutting-edge technology.
- Benefits: Enjoy a competitive salary, remote work flexibility, and future equity opportunities.
- Why this job: Be part of a groundbreaking team shaping the future of AI in business.
- Qualifications: 3-5 years in data science or AI, strong math background, fintech experience is a plus.
- Other info: Opportunity for occasional travel to London as the company grows.
The predicted salary is between 72000 - 84000 £ per year.
Preferable: 6+ YOE Salary Range: £75,000-90,000 depending on experience Smart Spaces is an award-winning, industry-leading white-label IoT platform, providing an all-in-one solution for building management systems control and communication. Our platform smart-enables workplaces, adding efficiency to daily work life for occupiers, employees, property owners, and managers. Our IoT application helps manage everything in your building, from granting access, system controls, and energy efficiency reports, to room booking and maintenance queries. This role is a great opportunity for a data-driven leader to get involved with all aspects of managing our data, from engineering to analytics to AI product development. Lead an agile Data Science & Analytics team to spearhead the company\’s data & AI strategy Develop & own the Data & AI product roadmap – by researching, prototyping, and implementing solutions to business challenges, from concept to production Design & implement ETL data pipelines to serve data for reporting & analytics, transforming sensor & operational data & calculating business metrics Create interactive dashboards & visualisations to provide insights from our broad datasets, including data such as building occupancy, energy, & air quality Work with customers to understand their data & reporting requirements, effectively communicate these to stakeholders, and develop product solutions Programming: Proficient in at least one language with a strong knowledge of OOP concepts (Python or C# preferred) Data Engineering: Experience designing and implementing ETL pipelines, transforming & cleaning data Data & API\’s: Strong experience working with databases & API\’s, with experience guiding data architecture decisions Data Visualization & Reporting: Experience with BI tools beneficial Management : Self-motivated with good project management skills to manage your own time & that of your team within an Agile/Sprint framework AI Development: Knowledge of AI tools and AI application development, keen interest to learn more Digital Twin / Simulation experience Hybrid role with three days in-office expectation Private health insurance Company pension scheme Discounts and Offers Platform
Data Science Data Science Senior Data Scientist (Remote) employer: Smart Spaces®
Contact Detail:
Smart Spaces® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Remote)
✨Tip Number 1
Familiarize yourself with the latest trends in AI and machine learning, especially in the context of data and video technologies. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI and data science community. Attend virtual meetups or webinars to connect with others in the industry, which can lead to valuable insights and potential referrals.
✨Tip Number 3
Showcase your hands-on experience with relevant tools and technologies in your discussions. Be prepared to discuss specific projects where you've successfully implemented machine learning or AI solutions.
✨Tip Number 4
Research the company’s vision and values thoroughly. Understanding their goals and how they plan to innovate in the data and video space will allow you to align your skills and experiences with their mission during conversations.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Remote)
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your experience in data science, machine learning, and AI, especially if you have worked in fintech or related sectors.
Tailor Your CV: Customize your CV to reflect your relevant experience and skills that align with the job. Emphasize your hands-on experience in data science and any projects where you've utilized computer vision or machine learning.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data technologies. Discuss how your background and expertise can contribute to building the next-generation data and video platform.
Highlight Your Academic Background: Since a strong academic background is important for this role, make sure to mention your qualifications in mathematics or related fields. Include any relevant certifications or courses that enhance your profile.
How to prepare for a job interview at Smart Spaces®
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience in data science, machine learning, and AI. Highlight specific projects where you've successfully implemented these technologies, especially in fintech or related sectors.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your ability to develop data-driven solutions. Use examples from your past work to illustrate how you approached complex challenges and the impact of your solutions.
✨Align with Their Vision
Research the company’s mission and values, particularly their focus on innovation and AI-driven platforms. Be ready to discuss how your personal goals align with their vision and how you can contribute to their growth.
✨Prepare for Collaboration Questions
Since you'll be working closely with global development teams, prepare to discuss your experience in collaborative environments. Share examples of how you've effectively communicated and worked with diverse teams to achieve common goals.
