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- Tasks: Lead the creation of cutting-edge BI infrastructure and develop AI models for predictive insights.
- Company: Join a dynamic team focused on innovative data-driven strategies in a creative environment.
- Benefits: Enjoy a competitive salary, work from home options, and exposure to the latest technologies.
- Why this job: Shape business intelligence and influence data strategies while collaborating with diverse teams.
- Qualifications: 3+ years in BI or data science, proficiency in Python, SQL, and experience with BI platforms.
- Other info: Opportunity for growth in a fast-paced environment with a focus on AI/ML initiatives.
The predicted salary is between 36000 - 60000 £ per year.
Business Intelligence Engineer / Data Scientist Do you want to lead the creation of a cutting-edge BI infrastructure? Excited to design AI models for predictive insights and forecasting? Looking to collaborate with dynamic teams and drive data-driven strategies? The Role Join as a Business Intelligence Engineer/Data Scientist, where youll architect and manage BI platforms while developing AI-driven models to forecast bidding, production costs, and resource management. You’ll work closely with production, artists, and pipeline teams to design robust data pipelines and deliver actionable insights across departments. Whats In It For You? Competitive salary and benefits package. Opportunity to lead innovative AI/ML and BI initiatives. Collaborative culture with cross-departmental impact. Exposure to the latest technologies in BI platforms and AI modeling. A dynamic, fast-paced environment with room for growth. Technical Skills 3+ years of experience in business intelligence, data science, or related fields. Proven experience in BI platforms (e.g., Tableau, Metabase, Power BI). Strong proficiency in Python (Pandas, NumPy, scikit-learn) and SQL. Expertise in building data pipelines and maintaining AI models for forecasting. Familiarity with integrating data from multiple sources into BI platforms. Knowledge of cloud infrastructure (AWS, GCP) is a bonus. About You Youre the right match if you: Thrive on building data-driven solutions collaboratively with cross-functional teams. Excel at translating complex data into actionable insights for diverse audiences. Have a passion for predictive analytics and AI/ML modeling. Are eager to influence data strategies through teamwork and shared decision-making. This is your chance to play a key role in shaping business intelligence and driving AI-based forecasting in a creative and collaborative environment. Colin has been supporting professionals in finding impactful roles for 6+ years. Get in touch today to learn more about this exciting opportunity! Skills: Tableau Python AWS Benefits: Work From Home
Business Intelligence Engineer / Data Scientist employer: Ocho
Contact Detail:
Ocho Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Engineer / Data Scientist
✨Tip Number 1
Familiarize yourself with the latest BI tools and technologies, especially Tableau, Power BI, and Metabase. Being able to discuss recent updates or features in these platforms during your conversations can set you apart.
✨Tip Number 2
Showcase your experience with Python and SQL by preparing examples of projects where you've built data pipelines or developed AI models. Be ready to explain your thought process and the impact of your work.
✨Tip Number 3
Highlight your collaborative skills by sharing specific instances where you've worked with cross-functional teams. Emphasizing your ability to translate complex data into actionable insights will resonate well with the team.
✨Tip Number 4
Stay updated on trends in predictive analytics and AI/ML modeling. Being knowledgeable about current industry practices will demonstrate your passion and commitment to driving data strategies effectively.
We think you need these skills to ace Business Intelligence Engineer / Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Business Intelligence Engineer/Data Scientist position. Understand the key responsibilities and required skills, especially in BI platforms and AI modeling.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 3+ years of experience in business intelligence or data science. Provide specific examples of projects where you used tools like Tableau, Python, or SQL to deliver insights.
Showcase Your Technical Skills: Clearly outline your technical skills related to BI platforms and data pipeline development. Mention any experience with cloud infrastructure like AWS or GCP, as this is a bonus for the role.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for predictive analytics and AI/ML modeling. Discuss how you thrive in collaborative environments and how you can contribute to the company's data-driven strategies.
How to prepare for a job interview at Ocho
✨Showcase Your Technical Skills
Be prepared to discuss your experience with BI platforms like Tableau or Power BI. Highlight specific projects where you utilized Python and SQL to build data pipelines or AI models, as this will demonstrate your hands-on expertise.
✨Emphasize Collaboration
Since the role involves working closely with various teams, share examples of how you've successfully collaborated in the past. Discuss how you translated complex data into actionable insights for different stakeholders, showcasing your ability to communicate effectively.
✨Demonstrate Your Passion for AI/ML
Express your enthusiasm for predictive analytics and AI/ML modeling. Be ready to discuss any relevant projects or experiences that highlight your interest and knowledge in these areas, as this aligns with the company's focus on innovative data-driven strategies.
✨Prepare Questions About the Role
Show your genuine interest by preparing thoughtful questions about the BI infrastructure and the team's goals. Inquire about the technologies they use and how they envision the future of their data strategies, which will reflect your proactive mindset.
