At a Glance
- Tasks: Transform data into actionable insights using AI and machine learning.
- Company: Join Supplement Factory, a leader in innovative data solutions.
- Benefits: Enjoy a competitive salary, pension scheme, and 22 days holiday.
- Other info: Great career growth opportunities and a chance to lead your own team.
- Why this job: Make a real impact by revolutionising business efficiency with your data skills.
- Qualifications: 3+ years in data science, with expertise in Python, R, or SQL.
The predicted salary is between 29000 - 41000 £ 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
Required Skills
- Performance Metrics
- Search Algorithms
- Data Science
- Machine Learning
- Programming Languages
- Metrics
- R
- Statistics
- Manufacturing
- Mathematics
- Programming
- Computer Science
- Python
- SQL
- Engineering
- Marketing
- Business
- Sales
- Science
- Training
Data Scientist in Kent employer: Supplement Factory
At Supplement Factory, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through abundant career advancement opportunities, including the potential to lead your own team in the future. Located in Ashford, we offer a supportive environment where your contributions directly impact our business, alongside competitive benefits such as a company pension scheme and generous holiday allowance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Kent
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events. The more you engage with others, the better your chances of hearing about job openings that might not be advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects and models. Use platforms like GitHub to share your code and visualisations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your data science concepts and algorithms. Practice explaining your thought process clearly and confidently. Remember, they want to see how you approach problems, not just the final answer!
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings at Supplement Factory. Applying directly through us can sometimes give you an edge, as we love seeing candidates who are genuinely interested in our company!
We think you need these skills to ace Data Scientist in Kent
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning, AI models, and any relevant programming languages like Python or SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can help us transform our business landscape. Be specific about your past projects and successes.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in your application. Mention your experience with data manipulation, statistical methods, and any data visualisation tools you've used. We love seeing candidates who can hit the ground running!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application quickly. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Supplement Factory
✨Know Your Data Science Stuff
Make sure you brush up on your programming languages like Python, R, and SQL. Be ready to discuss your experience with machine learning algorithms and data manipulation techniques. The more specific examples you can provide about your past projects, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex data problems in the past. Think of specific challenges you've faced and how your models made a difference. This will show them that you can not only build models but also apply them effectively to real-world issues.
✨Visualisation is Key
Since you'll be using data visualisation tools, it’s crucial to demonstrate your ability to present data clearly. Bring examples of your work or be ready to explain how you would visualise certain datasets. This will highlight your technical skills and your understanding of how to communicate insights.
✨Understand the Business Context
Familiarise yourself with Supplement Factory's operations and how data science can impact their business. Being able to connect your technical skills to their specific needs will set you apart. Show them you’re not just a techie, but someone who understands the bigger picture!
