Junior Data Scientist

Advanced Resource Managers Ltd; Slough; Hybrid; GBP 57,000 - 75,000; Full time

Job summary

Advanced Resource Managers Ltd is seeking a Junior Data Scientist for a 6-month contract in Slough with hybrid working (2–3 days onsite). The role focuses on hands-on data science to improve customer experience, stock management models, and marketing effectiveness.

You will build models in the cloud, explore data, and collaborate with stakeholders to drive strategic decisions. Key activities include developing and validating basic models, maintaining data pipelines, and applying statistical

Qualifications

• Proficient in SQL, Python and ML tooling.
• Experience with data pipelines and data wrangling.
• Knowledge of ML lifecycle from development to deployment.
• Experience with model validation, monitoring and versioning.

Responsibilities

• Build, validate, optimise and manage basic models and data pipelines.
• Handle parts of the data science lifecycle including documentation and security considerations.
• Analyze data using statistical methods to improve customer experience and business results.
• Identify improvements in own work and develop skills.
• Work with internal datasets and collaborate with the data science team to share knowledge.
• Collaborate with project groups to achieve the best outcomes.

Skills

SQL

Python

scikit-learn

PySpark

Database experience

Code testing

ML lifecycle

Model deployment

Data validation

Model versioning

Model monitoring

Communication

Stakeholder management

Tools

Git

Job description

Junior Data Scientist

6-Month contract - Inside IR35 - up to £360 per day

Slough based - hybrid working - 2-3 days a week onsite

Telecoms sector

The role

This is a hands‑on position where you will need to use your analytical skills to find solutions to business problems and improve our customers^' experience. This could include personalised communications for customers, improving our stock management models, better marketing effectiveness, maximising customer lifetime value and reducing customer churn.

On any day, depending on your expertise and your learning objectives, you could be building models in the cloud for automation of decision-making across the business or optimising processes for key business objectives; defining project expectations with internal or external stakeholders; or conducting deep‑dive exploratory analysis to inform strategic decision‑making. Throughout your work you would keep our customers as the focus of all analysis.

Key Responsibilities

• Responsible for building, validating, optimising and managing basic models and data pipelines
• Responsible for relevant parts of the data science lifecycle including documentation and security considerations
• Analysis of diverse data using statistical methods to make recommendations to improve customer experience and business results
• Identify improvements in own work and develop own skills
• Good understanding and use of our internal dataset
• Working collaboratively within data science team and project group to knowledge share and get the best possible outcome

Skills & Experience

• Intermediate SQL, Python, and scikit‑learn and basic PySpark coding skills with a good understanding of standard coding practices.
• Database experience
• Code optimisation and standard software development skills such as writing tests for code
• Knowledge of the full ML lifecycle, experience in deployment beneficial
• Ability to reframe ambiguous business questions with help into solvable form.
• Can clearly articulate ideas with non‑technical language and tell a simple story to non technical audience
• Demonstrate good listening skills to understand the needs of my stakeholders and customers.
• Can independently and constructively review others' work and can challenge decisions in a positive way
• Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring
• Can clearly articulate ideas with non‑technical language and tell a simple story to non technical audience
• Demonstrate good listening skills to understand the needs of my stakeholders and customers.
• Can independently and constructively review others' work and can challenge decisions in a positive way
• You should be interested in learning how data is validated and how models are versioned, monitored and improved over time.
• Intermediate SQL, Python, and scikit‑learn and basic PySpark coding skills with a good understanding of standard coding practices.
• Database experience
• Code optimisation and standard software development skills such as writing tests for code
• Knowledge of the full ML lifecycle, experience in deployment beneficial
• Ability to reframe ambiguous business questions with help into solvable form.
• Can clearly articulate ideas with non‑technical language and tell a simple story to non technical audience
• Demonstrate good listening skills to understand the needs of my stakeholders and customers.
• Can independently and constructively review others' work and can challenge decisions in a positive way
• Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring