Data Scientist

Supplement Factory; Ashford; On-site; GBP 35,000 - 45,000; Full time

Job summary

A leading health supplement company in Ashford seeks a Data Scientist to drive transformative insights through AI and machine learning. You'll create and maintain models that analyze diverse business data and enhance operational efficiency. The ideal candidate should have at least 3 years of relevant experience, be proficient in Python and R, and hold a degree in a related field. Join us for a full-time role with opportunities for growth and a range of benefits including a pension scheme and generous holiday allowance.

Benefits

Company Pension Scheme

Free Eye Tests

22 Days Holiday + Bank Holidays

Qualifications

• Minimum of 3 years of experience in a similar role.
• Experience in manufacturing is a significant asset.
• Proven experience in deploying open source AI models.

Responsibilities

• Collaborate to identify data-driven business challenges.
• Build and deploy machine learning models for various data sets.
• Employ advanced data visualization techniques.

Skills

Python

R

SQL

Machine Learning

Data Visualization

Education

Degree in Computer Science

Degree in Engineering

Degree in Statistics

Degree in Applied Mathematics

Job description

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.