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For Companies At a Glance
- Tasks: Bridge AI and users by configuring synthetic populations and enhancing data pipelines.
- Company: Dynamic startup at the forefront of AI and data science.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights for clients.
- Qualifications: Experience in data analysis and strong communication skills are essential.
- Other info: Join a diverse team and thrive in a fast-paced, innovative environment.
The predicted salary is between 36000 - 60000 £ per year.
Requirements
- Proficient in Python (Desirable)
- Quick learner who can master new AI/ML platforms and concepts
- Quantitative degree (mathematics, statistics, economics, physics, computer science, psychology, or related field) (Desirable)
- Be able to identify root cause of technical issues in data and evaluation pipelines
- 1-4 years in data analysis, market research, consulting, or customer-facing technical roles
- Excellence at translating complex technical concepts for non-technical executives
- Proven ability to manage sophisticated customer relationships independently
- Thrives in ambiguous, fast-moving startup environments
What the job involves
- As a Forward Deployed Analyst, you will be the critical bridge between our AI platform and the end user. Working directly with clients, you will configure synthetic populations that mirror their real-world audiences and help them extract maximum value from behavioural insights.
- This high-impact, customer-facing technical role operates at the intersection of AI, data science, and strategic consulting - ideal for someone with a quantitative/data science background looking to move into AI products.
- Transform Datasets to Onboard onto our Product: Design synthetic population queries by onboarding custom datasets for customers.
- Improve Data Pipelines: Diagnose data issues and partner with engineering to enhance platform capabilities.
- Build confidence through rigor: Evaluate synthetic methodologies using established validation frameworks to build client trust in AI insights for high-stakes decisions.
- Lead technical engagements: Own the technical dialogue with customers—understand their data, design optimal solutions, and implement them collaboratively.
- Shape our product: Represent the voice of the customer - gather field feedback and inform product priorities based on real implementation patterns.
- Scale adoption: Enable customers to unlock full product value across the whole organisation through effective training, documentation, and use case storytelling.
- Working with high-agency individuals from all backgrounds across sales, marketing, engineering, and science.
Forward Deployed Data Analyst in City of Westminster employer: Deepstreamtech
Contact Detail:
Deepstreamtech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Data Analyst in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to people in your desired field, especially those already working in data analysis or AI. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially any that involve Python or AI/ML concepts. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to data analysis. Be ready to explain complex concepts in simple terms, as you'll need to communicate effectively with non-technical clients.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure to submit your application directly for the best chance at landing that dream role.
We think you need these skills to ace Forward Deployed Data Analyst in City of Westminster
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and any relevant quantitative degrees. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical skills!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your experience in data analysis or customer-facing roles, and how you’ve thrived in fast-paced environments. This helps us see why you’re a great fit!
Be Clear and Concise: When explaining complex concepts, keep it simple! We love candidates who can translate technical jargon into easy-to-understand language. Show us you can communicate effectively with non-technical folks.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets you might be working with. Brush up on your data analysis skills and be ready to discuss how you’ve tackled data issues in the past. This will show that you can identify root causes and improve data pipelines effectively.
✨Master the Art of Communication
Since this role involves translating complex technical concepts for non-technical executives, practice explaining your previous projects in simple terms. Use analogies or relatable examples to demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific instances where you’ve diagnosed technical issues or improved processes. Think about challenges you faced in previous roles and how you overcame them. This will highlight your quick learning ability and adaptability in fast-moving environments.
✨Engage with the Company’s AI Products
Familiarise yourself with the company’s AI platform and its applications. Be ready to discuss how you would configure synthetic populations and extract insights. Showing genuine interest and understanding of their products will set you apart as a candidate who is ready to hit the ground running.
