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For Companies At a Glance
- Tasks: Transform data into actionable insights using AI and machine learning models.
- Company: Join Supplement Factory, a leader in health and wellness innovation.
- Benefits: Enjoy a competitive salary, pension scheme, and 22 days holiday plus bank holidays.
- Why this job: Make a real impact by revolutionising business efficiency with your data expertise.
- Qualifications: 3+ years in data science; degree in Computer Science, Engineering, or related field preferred.
- Other info: Work in-person in Ashford and grow your career with potential team leadership opportunities.
The predicted salary is between 28000 - 36000 £ per year.
Supplement Factory is in search of a Data Scientist to transform our business landscape through AI and machine learning. Your primary responsibility will be to create, deploy, and maintain machine learning and AI models that delve into data problems with high levels of accuracy. Your models will revolutionise various departments across the business, driving them towards greater efficiency.
In this role, you will work on diverse projects, such as creating AI models that swiftly compute and interpret masses of data related to ingredient interactions, compliance, pricing, and manufacturing capabilities. You'll be responsible for turning raw data into actionable insights that significantly impact the bottom line.
Key Responsibilities
- Collaborate with departments across the company to identify and frame key business challenges that can be solved using data.
- Build and deploy machine learning and AI models that interpret various data sets like complex staff rotas, training matrices, HR data, stock data, regulatory data, and sales and marketing data, among others.
- Employ advanced data visualisation techniques.
Technical Skills
- Expertise in programming languages suitable for data science tasks, such as Python, R, or SQL.
- Strong experience in data manipulation, statistical methods, and applying machine learning algorithms.
- Proven experience in deploying open source AI models to assist in the interpretation and processing of complex data sets.
- Proficiency in data visualisation tools is a must.
Experience
- Minimum of 3 years of experience in a similar role.
- Experience in manufacturing will be considered a significant asset.
Educational Requirements
- A degree in a relevant field, such as Computer Science, Engineering, Statistics, or Applied Mathematics, is highly recommended.
Benefits
- Company Pension Scheme
- Free Eye Tests
- 22 Days Holiday + Bank Holidays
Performance Metrics
Performance will be primarily measured based on the effectiveness of the models you create.
Career Growth
Opportunities for career advancement are abundant, with the potential to build a team under your supervision in the future.
Job Type: Full-time
Salary: £35,000.00-£45,000.00 per year
Schedule: Monday to Friday
Ability To Commute/relocate: Ashford: reliably commute or plan to relocate before starting work (required)
Work Location: In person
Data Scientist employer: Supplement Factory
Contact Detail:
Supplement Factory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific machine learning and AI models that are relevant to the manufacturing industry. Understanding how these models can be applied to real-world data problems will give you an edge in discussions during interviews.
✨Tip Number 2
Network with professionals in the data science field, especially those who work in manufacturing. Attend industry meetups or webinars to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 3
Showcase your experience with data visualisation tools by creating a portfolio of projects. This will not only demonstrate your technical skills but also your ability to turn complex data into actionable insights, which is crucial for the role.
✨Tip Number 4
Prepare to discuss how you've collaborated with different departments in previous roles. Highlighting your ability to frame business challenges and provide data-driven solutions will resonate well with the hiring team at Supplement Factory.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with machine learning and AI. Include specific projects or achievements that demonstrate your skills in programming languages like Python, R, or SQL.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Supplement Factory. Discuss how your background aligns with their needs, especially your experience in deploying AI models and working with complex data sets.
Showcase Technical Skills: Clearly outline your technical skills in your application. Mention your proficiency in data manipulation, statistical methods, and any experience you have with data visualisation tools, as these are crucial for the role.
Highlight Relevant Experience: If you have experience in manufacturing or similar industries, make sure to highlight this in your application. Explain how this experience can contribute to solving business challenges at Supplement Factory.
How to prepare for a job interview at Supplement Factory
✨Showcase Your Technical Skills
Make sure to highlight your expertise in programming languages like Python, R, or SQL during the interview. Be prepared to discuss specific projects where you've successfully deployed machine learning models and how they impacted the business.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to frame and solve business challenges using data. Think of examples from your past experience where you identified a problem, developed a solution, and measured its effectiveness.
✨Demonstrate Data Visualisation Techniques
Since proficiency in data visualisation tools is a must, be ready to discuss how you've used these tools to present complex data insights. Bring along examples of your work to illustrate your points.
✨Understand the Company’s Business Model
Research Supplement Factory and understand their operations, especially in manufacturing. Being able to relate your skills to their specific needs will show your genuine interest in the role and how you can contribute to their success.
