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For Companies At a Glance
- Tasks: Lead a data-driven team to shape our AI and data strategy.
- Company: Join Smart Spaces, an award-winning IoT platform revolutionizing building management.
- Benefits: Enjoy hybrid work, private health insurance, and a learning development scheme.
- Why this job: Be part of a dynamic team that values innovation and customer collaboration.
- Qualifications: 6+ years of experience in data science, programming, and project management required.
- Other info: Opportunity to work with cutting-edge AI tools and technologies.
The predicted salary is between 75000 - 90000 £ per year.
Preferable: 6+ YOE
Salary Range: £75,000-90,000 depending on experience
Company Description
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.
Role Description
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. We are looking for someone who thrives in an autonomous environment, can manage their product roadmap, and enjoys communicating with customers to understand their needs, and architect solutions that allow them to realise their goals.
Responsibilities
- 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
- Collaborate with cross-functional teams to integrate solutions & align with broader product and company goals.
Required Skills & Experience
- 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 developing reporting dashboards, conducting analytics, communicating findings
- 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
Desirable
- AI Development: Knowledge of AI tools and AI application development, keen interest to learn more
- GenAI / LLM experience for product development
- Product Management & Stakeholder Engagement: Comfortable with product management tasks, including leading client calls, developing requirements, managing a product roadmap
- Digital Twin / Simulation experience
Benefits
- Hybrid role with three days in-office expectation
- Private health insurance
- Company pension scheme
- Discounts and Offers Platform
- Learning and Development scheme
Smart Spaces® | Senior Data Scientist employer: Smart Spaces®
Contact Detail:
Smart Spaces® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Smart Spaces® | Senior Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in IoT and data science. Understanding how Smart Spaces integrates these technologies will help you speak confidently about your ideas during interviews.
✨Tip Number 2
Showcase your experience with ETL pipelines and data visualization tools. Be ready to discuss specific projects where you've successfully transformed data into actionable insights, as this aligns closely with the role's responsibilities.
✨Tip Number 3
Prepare to demonstrate your leadership skills in an agile environment. Think of examples where you've led a team or project, particularly in data-driven contexts, to illustrate your capability to manage product roadmaps.
✨Tip Number 4
Engage with the Smart Spaces community online. Follow their updates, participate in discussions, and connect with current employees on platforms like LinkedIn to gain insights and show your genuine interest in the company.
We think you need these skills to ace Smart Spaces® | Senior Data Scientist
Some tips for your application 🫡
Understand the Company: Dive deep into Smart Spaces and their IoT platform. Familiarize yourself with their products, values, and recent developments to tailor your application accordingly.
Highlight Relevant Experience: Emphasize your 6+ years of experience in data science, particularly focusing on your work with ETL pipelines, data visualization, and AI product development. Use specific examples to demonstrate your expertise.
Showcase Technical Skills: Clearly outline your programming skills, especially in Python or C#. Mention any experience with databases, APIs, and BI tools, as these are crucial for the role.
Communicate Your Leadership Abilities: Since the role involves leading a team, highlight your project management skills and experiences where you've successfully managed teams or projects within an Agile framework.
How to prepare for a job interview at Smart Spaces®
✨Showcase Your Data Expertise
Be prepared to discuss your experience with data engineering and analytics in detail. Highlight specific projects where you designed ETL pipelines or created interactive dashboards, as this aligns closely with the role's responsibilities.
✨Demonstrate Your Leadership Skills
Since this position involves leading a team, share examples of how you've successfully managed teams in an agile environment. Discuss your approach to project management and how you motivate your team to achieve their goals.
✨Communicate Effectively
The role requires strong communication skills, especially when working with customers and stakeholders. Practice articulating complex data concepts in simple terms, and be ready to discuss how you've gathered requirements from clients in the past.
✨Prepare for Technical Questions
Expect technical questions related to programming languages like Python or C#. Brush up on OOP concepts and be ready to solve problems on the spot, as this will demonstrate your proficiency and problem-solving abilities.
