Data Scientist
Supplement Factory
- Ashford, England, United Kingdom
- Ashford, England, United Kingdom
Über
Remuneration:
£35,000 – £45,000
Role Overview 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 & Schedule
Full-time
Monday to Friday
Location & Commute Work Location: In person. Ashford: reliably commute or plan to relocate before starting work (required).
Required Skills Performance Metrics, Search Algorithms, Data Science, Salary, Machine Learning, Programming Languages, Metrics, R, Statistics, Manufacturing, Mathematics, Programming Computer Science, Python, SQL, Engineering, Marketing, Business, Sales, Science, Training.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klicken Sie auf „Jetzt Bewerben“, um Ihre Bewerbung direkt auf deren Website einzureichen.