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- Tasks: Build innovative data products and influence client engagement through analytics.
- Company: Dynamic UK-based data and analytics business with a focus on product innovation.
- Benefits: Hybrid work model, exposure to major clients, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on customer intelligence and predictive modelling.
- Why this job: Shape the future of data-driven products and tackle real-world challenges.
- Qualifications: Experience in Python, SQL, and machine learning techniques.
The predicted salary is between 50000 - 70000 £ per year.
Do you want to build data products, not just models? Are you ready to own product innovation from concept to launch? A UK-based data and analytics business is hiring a Data Scientist to support the design and delivery of data-led products used by major enterprise clients. The business combines consultancy delivery with proprietary data products, giving you exposure to both real-world commercial problems and scalable internal product builds.
Their focus sits heavily in customer intelligence, predictive modelling and behavioural analytics across sectors including utilities, telecoms, financial services and charities. This role will sit at the intersection of product, analytics and machine learning. You’ll help prototype, test and shape new analytical products, building models that directly influence how clients engage customers, optimise collections and improve commercial performance.
- Conduct data discovery and exploratory analysis across large customer datasets
- Evaluate emerging AI and machine learning techniques for product innovation
Location: Hybrid (minimum 2 days in London)
Skills: Python, SQL, Databricks, Azure
Data Scientist Ml Ai Python employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Ml Ai Python
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data products and projects. We recommend using GitHub or a personal website to display your work with Python, SQL, and machine learning techniques. This will give potential employers a taste of what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with data discovery and predictive modelling. We suggest practising common interview questions and even doing mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. By applying directly, you’ll have a better chance of getting noticed by hiring managers who are looking for someone just like you to help innovate their data-led products.
We think you need these skills to ace Data Scientist Ml Ai Python
Some tips for your application 🫡
Show Your Passion for Data Products: When writing your application, let us know why you're excited about building data products. Share any relevant experiences where you've taken a concept and turned it into something tangible, as we love seeing that entrepreneurial spirit!
Highlight Your Technical Skills: Make sure to showcase your expertise in Python, SQL, and any other tools mentioned in the job description. We want to see how you’ve used these skills in real-world scenarios, so don’t hold back on the details!
Demonstrate Your Problem-Solving Abilities: We’re looking for someone who can tackle complex challenges. In your application, include examples of how you've approached data discovery or exploratory analysis, especially if it led to innovative solutions for clients.
Tailor Your Application: Take the time to customise your application for this role. Mention specific projects or experiences that align with our focus on customer intelligence and predictive modelling. And remember, applying through our website is the best way to get noticed!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data products the company has developed. Brush up on customer intelligence, predictive modelling, and behavioural analytics. Being able to discuss specific examples of how you've used these techniques in past projects will show your expertise.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python, SQL, and any relevant tools like Databricks and Azure. You might be asked to solve a coding problem or discuss your approach to data analysis, so practice articulating your thought process clearly.
✨Understand the Business Context
Research the sectors the company operates in, such as utilities, telecoms, and financial services. Understanding the unique challenges these industries face will help you tailor your answers and show that you can apply your skills to real-world problems.
✨Prepare for Product Innovation Discussions
Since this role involves product innovation, think about how you would approach prototyping and testing new analytical products. Be ready to share your ideas on emerging AI and machine learning techniques and how they could be applied to enhance product offerings.