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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: Fast-paced environment with diverse teams and exciting challenges.
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 Westminster employer: Deepstreamtech
Contact Detail:
Deepstreamtech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Data Analyst in Westminster
✨Tip Number 1
Network like a pro! Reach out to people in your desired field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Forward Deployed Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving Python or AI/ML concepts. This will help us see your practical experience and problem-solving abilities in action.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice explaining 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! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Forward Deployed Data Analyst in 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 can bridge the gap between our AI platform and clients. We love seeing applicants who understand what we do!
Be Clear and Concise: When explaining complex concepts, keep it simple! We need to know you can translate technical jargon into something non-technical folks can grasp. Use straightforward language to demonstrate your communication skills.
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 get the ball rolling. Plus, it shows you’re keen on joining the StudySmarter team!
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 would diagnose issues in data pipelines. Being able to articulate your thought process will show that you can handle the technical challenges of the role.
✨Master the Art of Communication
Since this role involves translating complex concepts for non-technical clients, practice explaining technical ideas in simple terms. Prepare examples from your past experiences where you successfully communicated intricate data insights to stakeholders who may not have a technical background.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific instances where you identified root causes of technical issues. Think of examples that highlight your analytical thinking and how you collaborated with others to implement solutions. This will demonstrate your ability to thrive in fast-moving environments.
✨Understand the Company’s AI Products
Familiarise yourself with the company’s AI platform and its applications. Research how they use synthetic populations and behavioural insights. Showing that you understand their products and can envision how you’d contribute will set you apart from other candidates.
