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For Companies At a Glance
- Tasks: Lead analytics projects and develop innovative use cases like demand forecasting.
- Company: A leading advanced technology company with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact by driving data science solutions in a dynamic environment.
- Qualifications: Master's or PhD in Data Science, with expertise in machine learning and data analysis.
- Other info: Collaborative culture with opportunities to present findings to executives.
The predicted salary is between 48000 - 72000 £ per year.
A leading advanced technology company is seeking a Senior Manager, Delivery Lead to drive analytics solutions in a dynamic environment. The ideal candidate will develop use cases like demand forecasting and manage data science projects from inception to delivery.
Responsibilities include:
- Collaborating with data engineering teams
- Presenting findings to executives
Candidates should hold a Master's or PhD in Data Science or a related field and possess expertise in machine learning and data analysis. Exceptional communication and analytical skills are essential.
AI Delivery Lead & Senior Manager — Analytics in London employer: Genpact
Contact Detail:
Genpact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Delivery Lead & Senior Manager — Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the analytics field on LinkedIn or at industry events. We can leverage our connections to get insights and maybe even referrals for that Senior Manager role.
✨Tip Number 2
Showcase your projects! Prepare a portfolio that highlights your data science projects, especially those involving demand forecasting. We want to demonstrate our hands-on experience and analytical skills to potential employers.
✨Tip Number 3
Practice your pitch! When you land an interview, be ready to discuss your experience with machine learning and data analysis. We should articulate how our background aligns with the company's needs and how we can drive analytics solutions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We can tailor our applications to highlight our relevant skills and experiences directly related to the AI Delivery Lead position.
We think you need these skills to ace AI Delivery Lead & Senior Manager — Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics and data science. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or use cases you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about driving analytics solutions and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Communication Skills: Since you'll be presenting findings to executives, it's crucial to demonstrate your communication prowess. In your application, highlight any experiences where you've successfully conveyed complex information to non-technical audiences.
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’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Genpact
✨Know Your Analytics Inside Out
Make sure you brush up on your knowledge of analytics solutions, especially in areas like demand forecasting. Be ready to discuss specific use cases you've worked on and how they impacted the business.
✨Showcase Your Project Management Skills
Prepare to talk about your experience managing data science projects from start to finish. Highlight your ability to collaborate with data engineering teams and how you ensure timely delivery of results.
✨Communicate Like a Pro
Since you'll be presenting findings to executives, practice explaining complex data concepts in simple terms. Use examples from your past experiences to demonstrate your exceptional communication skills.
✨Stay Current with Machine Learning Trends
Familiarise yourself with the latest trends and advancements in machine learning. Be prepared to discuss how these can be applied to enhance analytics solutions in the company you're interviewing with.
