Data Scientist

Supplement Factory
Ashford
1 month ago
Applications closed

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Job Description

Data Scientist at Supplement Factory


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.


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