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- Tasks: Use data science to drive business impact and solve problems with machine learning.
- Company: Join a fast-growing start-up simplifying the hiring process for flexible work opportunities.
- Benefits: Enjoy a competitive salary, generous equity, unlimited holiday, and a collaborative environment.
- Why this job: Be part of an innovative team at a pivotal growth stage, making a real difference.
- Qualifications: 2+ years of experience in AI model building with Python; AWS familiarity preferred.
- Other info: Work 4 days on-site with 1 day remote; ideal for tech-savvy problem solvers.
The predicted salary is between 52000 - 88000 £ per year.
This is an excellent opportunity for a Senior Data Scientist to join a rapidly growing start-up, where you will focus on analytics and modelling to interpret data.
This company is a platform designed to simplify the hiring process for businesses and enable individuals to find flexible work opportunities. By connecting businesses with skilled professionals for short-term staffing needs, this innovative solution optimises workforce efficiency.
In this varied role you will leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation. You will use machine learning tools and statistical techniques to solve business problems and collaborate with non-technical experts to propose data-driven solutions. You will confidently present complex subjects to non-technical and technical stakeholders.
The ideal candidate will possess a minimum of 2+ years of experience building AI models in Python within a startup environment or leading Tech company. Demonstrable proficiency in Python AI libraries is essential, with preferred expertise in demand prediction, computer vision, or optimisation. Familiarity with the AWS cloud platform, particularly its AI/ML services (SageMaker and Lambda) and related data processing tools, is also required.
This is a fantastic opportunity for a Senior Data Scientist to join a company at an exciting time of growth, within a role offering a great benefits package and collaborative working environment.
- Leverage data science for business impact.
- Apply machine learning and statistical techniques.
- Collaborate with non-technical experts for solutions.
- Present complex data to diverse stakeholders.
4 Days onsite, 1 day WFH
The Person:
- 2+ years AI model building in Python.
- Proficient as a Data Scientist with knowledge of Python AI libraries.
- Expertise in demand prediction, computer vision, or optimisation (preferred).
- Familiarity with AWS AI/ML services (SageMaker, Lambda).
Senior Data Scientist employer: Rise Technical
Contact Detail:
Rise Technical Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to showcase your experience with Python AI libraries during networking events or informal meetups. Engaging in conversations about your projects can help you stand out and connect with potential colleagues or employers.
✨Tip Number 2
Familiarise yourself with the latest trends in demand prediction, computer vision, and optimisation. Being able to discuss recent advancements or case studies in these areas can demonstrate your passion and expertise during interviews.
✨Tip Number 3
Consider contributing to open-source projects or writing articles on platforms like Medium about your experiences with AWS AI/ML services. This not only builds your portfolio but also showcases your commitment to the field.
✨Tip Number 4
Practice presenting complex data concepts to friends or peers who may not have a technical background. This will help you refine your communication skills, making it easier to convey your ideas to diverse stakeholders in the workplace.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building AI models in Python, particularly within a startup or tech company. Emphasise your proficiency with Python AI libraries and any relevant projects you've worked on.
Craft a Compelling Cover Letter: In your cover letter, explain why you're excited about the opportunity to work as a Senior Data Scientist. Mention your experience with machine learning tools and how you can leverage data science for business impact, as outlined in the job description.
Showcase Relevant Projects: If you have specific projects that demonstrate your expertise in demand prediction, computer vision, or optimisation, include them in your application. This could be in the form of a portfolio or detailed descriptions in your CV.
Prepare for Technical Questions: Anticipate technical questions related to your experience with AWS AI/ML services, particularly SageMaker and Lambda. Be ready to discuss how you've used these tools in past projects and their impact on your work.
How to prepare for a job interview at Rise Technical
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and AI libraries in detail. Bring examples of projects where you've built AI models, especially in demand prediction or computer vision, to demonstrate your expertise.
✨Understand the Business Context
Research the company’s platform and how it simplifies the hiring process. Be ready to explain how your data science skills can directly contribute to their mission of optimising workforce efficiency.
✨Prepare for Stakeholder Communication
Since you'll be presenting complex data to both technical and non-technical stakeholders, practice explaining your past projects in simple terms. This will show your ability to bridge the gap between data science and business needs.
✨Familiarise Yourself with AWS Services
Brush up on your knowledge of AWS AI/ML services like SageMaker and Lambda. Be ready to discuss how you’ve used these tools in previous roles or how you would apply them in this position.
