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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 machine learning.
- Why this job: Shape the future of data-driven products and tackle real-world challenges.
- Qualifications: Experience in Python, SQL, and a passion for data science.
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 - Python and SQL employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Python and SQL
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do and how you approach problem-solving.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and machine learning. Be ready to discuss how you can contribute to product innovation and customer engagement.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Scientist - Python and SQL
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data science! Share specific examples of projects where you've built data products or models that made a real impact. This will help us understand your drive and how you can contribute to our innovative team.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your experience with Python, SQL, and any relevant tools like Databricks and Azure. We want to see how your skills align with our needs, so don’t hold back on showcasing your expertise!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to apply 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 serious about joining our team at StudySmarter!
How to prepare for a job interview at Harnham
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to data discovery and exploratory analysis.
✨Showcase Your Product Mindset
This role is all about building data products, not just models. Prepare examples of how you've taken a product from concept to launch, and be ready to discuss your approach to product innovation and customer engagement.
✨Familiarise Yourself with Industry Trends
Stay updated on the latest AI and machine learning techniques relevant to the sectors mentioned in the job description. Being able to discuss emerging trends will show your passion for the field and your commitment to continuous learning.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles and how you approached them, particularly in relation to predictive modelling and behavioural analytics.