At a Glance
- Tasks: Create impactful data science solutions and drive models into production.
- Company: Harnham, a leading data science firm with a focus on innovation.
- Benefits: Hybrid work model, professional growth opportunities, and a collaborative team environment.
- Why this job: Make a real difference in business insights while advancing your data science career.
- Qualifications: Strong skills in Data Science, Python, SQL, and end-to-end data solutions.
The predicted salary is between 40000 - 50000 £ per year.
Harnham is seeking a Mid-Level Data Scientist to join their Data Science team in Knowsley. In this hybrid role, you will contribute to customer-focused data science solutions, working with stakeholders to drive business insights and drive models into production.
The ideal candidate will have strong skills in Data Science, advanced Python and SQL capabilities, and experience with end-to-end data solutions. This position offers opportunities for significant impact and professional growth as the data function evolves.
Data Scientist - End-to-End ML in Production (Hybrid) in Knowsley employer: Harnham
Harnham is an exceptional employer that fosters a collaborative and innovative work culture, where data-driven insights are at the forefront of decision-making. Located in Knowsley, this hybrid role not only offers competitive benefits but also provides ample opportunities for professional development and growth within the evolving data science landscape. Join us to make a meaningful impact while advancing your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - End-to-End ML in Production (Hybrid) in Knowsley
✨Tip Number 1
Network like a pro! Reach out to current employees at Harnham on LinkedIn or attend industry meetups. Building connections can give us insider info and might even lead to a referral.
✨Tip Number 2
Showcase your skills! Prepare a portfolio of your data science projects, especially those involving end-to-end ML solutions. This will help us demonstrate our capabilities during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common data science interview questions and coding challenges in Python and SQL. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how our skills align with Harnham's needs.
We think you need these skills to ace Data Scientist - End-to-End ML in Production (Hybrid) in Knowsley
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data science and showcases your advanced Python and SQL skills. We want to see how you've contributed to customer-focused solutions, so don’t hold back on those details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background aligns with our needs. We love seeing genuine enthusiasm for data science and the impact it can have.
Showcase Your Projects:If you’ve worked on any end-to-end data solutions or models in production, make sure to mention them! We’re keen to see real-world examples of your work and how you’ve driven business insights through data.
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’re considered for this exciting opportunity. Let’s get started on this journey together!
How to prepare for a job interview at Harnham
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially those related to machine learning and production. Be ready to discuss your previous projects and how you applied these principles to solve real-world problems.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your advanced Python and SQL capabilities. You might be asked to solve a coding challenge or explain how you've used these languages in past projects, so have some examples ready.
✨Understand the Business Context
Research Harnham and their business model. Understand how data science contributes to their goals and be prepared to discuss how your work can drive insights and impact their operations.
✨Engage with Stakeholders
Since this role involves working with stakeholders, think about how you can effectively communicate complex data findings to non-technical audiences. Prepare examples of how you've successfully collaborated with others in the past.
