At a Glance
- Tasks: Lead a data science team to transform decision science and enhance subscriber engagement.
- Company: Deepstreamtech, an innovative tech company in Greater London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on technical innovation.
- Why this job: Shape AI strategies and make a real impact on business outcomes.
- Qualifications: Experience in data science, causal inference, and MLOps with AWS/SageMaker.
The predicted salary is between 80000 - 100000 € per year.
Deepstreamtech in Greater London is seeking a Head of Data Science to lead a high-performance data science team and drive the transformation of decision science. Responsible for building capabilities in causal inference and personalisation, you will shape AI strategies that enhance subscriber engagement and optimise business outcomes.
You will own technical standards and ensure excellence in the MLOps lifecycle using AWS/SageMaker. This role involves substantial collaboration with Marketing and Product teams to leverage data-driven insights and foster a culture of technical innovation.
Head of AI-Driven Personalisation & Decision Science employer: Deepstreamtech
Deepstreamtech is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. As the Head of AI-Driven Personalisation & Decision Science, you will have access to cutting-edge technology and resources, alongside ample opportunities for professional growth and development within a high-performance team. The company prioritises employee well-being and encourages a culture of continuous learning, making it an ideal place for those seeking meaningful and rewarding careers in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Head of AI-Driven Personalisation & Decision Science
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Deepstreamtech or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Showcase your skills! Prepare a portfolio or case studies that highlight your experience with AI strategies and decision science. This will help you stand out and demonstrate your expertise beyond just your CV.
✨Tip Number 3
Be ready for the interview! Research Deepstreamtech’s recent projects and think about how your background in causal inference and personalisation can contribute. Tailor your answers to show how you can drive their goals forward.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Head of AI-Driven Personalisation & Decision Science
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Head of AI-Driven Personalisation & Decision Science role. Highlight your expertise in causal inference, personalisation, and MLOps to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can drive transformation at Deepstreamtech. Don’t forget to mention your collaborative spirit with Marketing and Product teams.
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to include any relevant experience with AWS/SageMaker and your approach to maintaining technical standards in your application. This will demonstrate your readiness to lead our data science team.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Deepstreamtech
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest trends and technologies in AI-driven personalisation and decision science. Brush up on causal inference techniques and be ready to discuss how you've applied them in past projects.
✨Showcase Your Leadership Skills
As a Head of Data Science, you'll need to lead a high-performance team. Prepare examples of how you've successfully managed teams, driven innovation, and fostered collaboration across departments like Marketing and Product.
✨Demonstrate MLOps Mastery
Familiarise yourself with the MLOps lifecycle, especially using AWS/SageMaker. Be prepared to discuss your experience with deploying models and maintaining technical standards, as this will be crucial for the role.
✨Engage with Data-Driven Insights
Think about how data can drive business outcomes and enhance subscriber engagement. Come ready with insights or case studies that illustrate your ability to leverage data effectively in decision-making processes.
