Junior Data Scientist

ZipRecruiter; Manchester; On-site; GBP 40,000 - 80,000; Full time

Job summary

An innovative firm seeks a data science expert to tackle real-world commercial challenges using advanced statistical techniques and machine learning. In this dynamic role, you will collaborate with diverse stakeholders to apply cutting-edge research and technology, transforming customer operations and driving growth. Your ability to communicate complex insights to non-technical audiences will be key as you contribute to a high-performing data science team. If you are passionate about data and eager to stay ahead in the rapidly evolving tech landscape, this opportunity is perfect for you.

Qualifications

• Experience in statistical modelling, machine learning, and AI.
• Familiarity with SQL and relational databases is essential.

Responsibilities

• Collaborate with customers to apply research and technology for real-world solutions.
• Communicate insights effectively to multidisciplinary teams.

Skills

Statistical Modelling

Machine Learning

AI

Data Science

Forecasting

Optimization

R Programming

Python Programming

SQL

Data Visualization

Job description

Job Description

Responsibilities:

• Experience in one or more of the following areas: statistical modelling, machine learning, AI, data science, forecasting, optimization.
• Programming skills/concepts with the ability to quickly learn new technologies. Prior experience in R, Python, and/or other statistical tools is a plus.
• Familiarity with relational databases and an intermediate level of SQL knowledge, as you will work with various datasets.
• Solid understanding of a wide range of statistical techniques.
• Ability to understand and present findings to a non-technical audience. Experience in data visualization and deriving insights from diverse data sources is advantageous.
• Collaborate with customers across multiple sectors, applying the latest research and technology to solve real-world commercial problems.
• Contribute as a key member of the data science team, shaping products and driving growth by transforming customer operations.
• Interact with diverse stakeholders—from academic experts to onsite customer teams—requiring independence and responsibility.
• Expertise in machine learning, data science, and AI, with a commitment to staying updated on technological developments and research.
• Effectively communicate insights and findings to multidisciplinary teams.