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- Tasks: Build and deploy machine-learning models to drive strategic decisions.
- Company: Leading data science firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, bonuses, and a flexible hybrid work model.
- Why this job: Make a real impact by influencing growth through actionable ML solutions.
- Qualifications: Expertise in Python, SQL, customer analytics, and strong communication skills.
- Other info: Join a dynamic team and shape the future of data-driven decision making.
The predicted salary is between 43200 - 72000 £ per year.
A leading data science firm in Greater London is seeking a Senior Data Scientist to influence strategic decisions through machine-learning solutions. The role involves building and deploying ML models while collaborating with product and commercial teams.
Candidates must have strong expertise in Python, SQL, and customer analytics, as well as effective communication skills.
Competitive compensation, bonuses, and a hybrid work model are offered.
Senior Data Scientist: Actionable ML for Growth (Hybrid) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist: Actionable ML for Growth (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best ML projects, especially those that align with customer analytics. We want to demonstrate how our expertise in Python and SQL can drive growth.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on common data science problems and algorithms. We should also be prepared to explain our thought process clearly—communication is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how we can influence strategic decisions with actionable ML solutions.
We think you need these skills to ace Senior Data Scientist: Actionable ML for Growth (Hybrid)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python, SQL, and customer analytics in your application. We want to see how your skills can influence strategic decisions through machine-learning solutions.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior Data Scientist role. We love seeing how you can connect your experience with what we’re looking for.
Communicate Clearly: Effective communication is key in this role. Use your written application to demonstrate your ability to convey complex ideas simply and clearly. We want to know how you can collaborate with product and commercial teams.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your ML Models Inside Out
Make sure you can discuss the machine-learning models you've built and deployed in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will show your expertise and problem-solving skills.
✨Brush Up on Python and SQL
Since strong expertise in Python and SQL is a must, review your coding skills before the interview. Prepare to solve some coding challenges or answer technical questions that demonstrate your proficiency in these languages.
✨Understand the Business Impact
Be prepared to discuss how your work as a data scientist can influence strategic decisions. Think about examples where your insights led to growth or improved customer analytics, and be ready to share these stories.
✨Practice Your Communication Skills
Effective communication is key in this role, especially when collaborating with product and commercial teams. Practice explaining complex data concepts in simple terms, so you can convey your ideas clearly during the interview.
