At a Glance
- Tasks: Build and deploy machine learning models to enhance customer outcomes and business decisions.
- Company: Join a dynamic fintech team at Harnham in Greater London.
- Benefits: Hybrid working model with office attendance from Tuesday to Thursday.
- Why this job: Make a real impact on customer predictions and business strategies.
- Qualifications: 1-2 years of experience in data science, strong STEM background, Python and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
Harnham is seeking a Data Scientist with 1-2 years of experience to join their dynamic fintech team in Greater London. This role focuses on building and deploying machine learning models that directly influence customer outcomes and business decisions.
Candidates should have a strong academic background in a STEM field, experience with Python and SQL, and a passion for customer prediction problems.
The successful candidate will engage in a hybrid working model, with mandatory office attendance from Tuesday to Thursday.
Production ML Scientist – Customer & Credit (Hybrid) in London employer: Harnham
Harnham is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those looking to make a significant impact in the fintech sector. With a strong emphasis on employee growth, Harnham offers numerous opportunities for professional development and skill enhancement, all while enjoying the vibrant atmosphere of Greater London. The hybrid working model allows for flexibility, ensuring a healthy work-life balance while still benefiting from in-person collaboration with a talented team.
StudySmarter Expert Advice🤫
We think this is how you could land Production ML Scientist – Customer & Credit (Hybrid) in London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Harnham when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Harnham.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Harnham.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Harnham’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Production ML Scientist – Customer & Credit (Hybrid) in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Harnham, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Harnham aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Harnham
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
