Data Specialist

AEJ Consulting Ltd; United Kingdom; On-site; GBP 50,000 - 70,000; Full time

Job summary

A SaaS company in the United Kingdom is seeking a Data Specialist / Data Scientist to design and implement data-driven solutions. The role requires strong skills in Python or R, experience in SQL, and the ability to build machine learning models. You will collaborate with stakeholders, ensure high data quality, and mentor colleagues. This position demands a commitment to professional integrity and a drive for excellence within an Agile team environment.

Qualifications

• Strong proficiency in Python or R for data analysis.
• Experience working with SQL and relational databases.
• Proven experience building and deploying machine learning models.

Responsibilities

• Collect, clean, validate, and prepare data from multiple sources.
• Design and implement data models and algorithms.
• Build, test, and deploy predictive analytics and machine learning solutions.

Skills

Python

R

SQL

Data wrangling

Statistical analysis

Machine learning frameworks

Cloud-based analytics services

Data visualisation tools

REST APIs

Education

Degree in Computer Science or related field

Tools

SciPy

CVXPY

Pyomo

GLPK

CBC

CPLEX

Job description

Role Purpose

Working as part of an Agile technology team within a fast growing SaaS organisation, the Data Specialist / Data Scientist will be responsible for designing, developing, and deploying data-driven solutions that support organisational objectives. The role involves close collaboration with stakeholders to identify opportunities to leverage data effectively, develop predictive models, and deliver clear, actionable insights. The Data Specialist / Data Scientist will also mentor colleagues on best practice in data analysis, help ensure high data quality standards, and contribute to the organisation’s wider data and AI strategy. Key Stakeholder Relationships - Product owners, software developers, testers, delivery managers, professional services teams, and technical architects.

Role Responsibilities

• Collecting, cleaning, validating, and preparing data from multiple sources
• Designing and implementing data models and algorithms to address business challenges
• Building, testing, and deploying predictive analytics and machine learning solutions
• Visualising data and communicating insights clearly to technical and non-technical stakeholders
• Ensuring data integrity, security, and compliance with internal policies and relevant regulations
• Collaborating with cross-functional teams to integrate data solutions into products and services
• Documenting data processes, models, and methodologies
• Keeping up to date with emerging data science tools, techniques, and industry trends
• Proactively raising risks, issues, or concerns with appropriate stakeholders

Qualifications & Experience

• Degree in Computer Science, Mathematics, Statistics, or a related discipline
• Strong proficiency in Python or R for data analysis
• Experience working with SQL and relational databases
• Proven experience building and deploying machine learning models
• Experience using a major cloud platform
• Exposure to big data technologies (e.g. distributed data processing frameworks)
• Experience with data visualisation tools
• Knowledge of data governance, security, and compliance principles

Skills & Abilities

• Python and/or R
• SQL
• Data wrangling, cleaning, and preparation
• Statistical analysis and modelling
• Machine learning frameworks and optimisation techniques
• Knowledge and experience of the following: Optimization algorithms, SciPy, CVXPY, Pyomo and solvers GLPK, CBC and CPLEX, or similar versions.
• Cloud-based data and analytics services
• Data visualisation tools
• Machine learning platforms
• Version control and DevOps practices
• Experience working with REST APIs

Personal Attributes

• High personal and professional integrity with a strong drive for excellence
• A collaborative team player with strong interpersonal and communication skills
• Ability to engage and motivate colleagues
• Willingness to mentor less experienced team members and share knowledge
• Proactive ownership of personal development and performance goals
• A strong commitment to delivering high-quality outcomes through collaboration