At a Glance
- Tasks: Transform complex data into actionable insights and drive strategic decisions.
- Company: Leading retail organisation with a focus on innovation and collaboration.
- Benefits: Competitive pay, flexible working pattern, and opportunities for personal growth.
- Other info: Mentorship opportunities and a culture of continuous learning.
- Why this job: Join a dynamic team and make a real impact in the retail industry.
- Qualifications: Strong numerical degree and extensive experience in machine learning and programming.
The predicted salary is between 63000 - 77000 £ per year.
Contract Type: Fixed Term (6 Months)
Working Pattern: 3 days per week in office
Location: London, UK (Farringdon)
Pay: £500 to £750 per day Inside IR35
Are you ready to dive deep into the world of data and transform complex business challenges into actionable insights? Our client, a leading organisation in the retail industry, is on the lookout for an enthusiastic and skilled Senior Data Scientist to join their innovative team!
About the Role
As a Senior Data Scientist, you will play a pivotal role in harnessing the power of data to drive strategic decisions across various domains - ranging from online services and pricing to supply chain management and marketing.
Key Responsibilities
- Hands-On Analysis: Leverage your analytical mindset to tackle complex business problems and prototype effective solutions.
- Algorithm Design: Apply, modify, and design advanced algorithms and mathematical models to extract meaningful insights from large data sets.
- Communication: Validate, document, and present modelling processes and performances, ensuring clarity for both technical and non-technical stakeholders.
- Collaboration: Work closely within a diverse team of data scientists, sharing knowledge and driving data science initiatives across the organisation and the wider community.
What You Bring
- Educational Background: A strong numerical degree in mathematics, science, engineering, or computer science.
- Technical Expertise: Extensive experience in machine learning, data mining, and programming (Python preferred).
- Problem-Solving Skills: A scientific mindset with the ability to ask and answer the right questions.
- Specialised Knowledge: Experience in predictive modelling, operational research, deep learning, and time series modelling.
- Leadership Experience: Proven commercial experience working with business stakeholders, alongside a record of mentoring and developing junior professionals.
Why Join Us
Our client values a culture of learning and personal growth, offering:
Data Science employer: Pontoon
Pontoon is an excellent employer, offering a dynamic work culture that fosters creativity and collaboration in the heart of London. With flexible working arrangements and a strong emphasis on professional development, employees are empowered to grow their skills while contributing to innovative AI-driven solutions in the banking sector. Join us to be part of a team that values your input and encourages meaningful contributions to customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Pontoon before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Pontoon.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Pontoon.
We think you need these skills to ace Data Science
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Pontoon, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Pontoon, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Pontoon’s attention and show the tangible impact of your work.
How to prepare for a job interview at Pontoon
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Pontoon.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Pontoon.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Pontoon.
