Data Science Graduate Jobs

Analytics and Data Science Graduate Programme

Join TUI as part of the Analytics and Data Science Graduate Programme to work on...

Location

United Kingdom , Luton

Salary:

3078.75 GBP / Month ▼

TUI

Expiration Date

January 26, 2026

Requirements

Analytical approach to solving problems and creating solutions
strategic thinker
natural drive to achieve both individual and business results with a commercial focus
brings innovative ideas and insights
engages and collaborates with others
a focus on providing unrivaled service to our customers
hunger for learning
minimum of GCSE grade 4 or C (or equivalent) in English and Maths, and a commitment to gaining your Level 6 apprenticeship
minimum 2:2 degree classification in any subject
a passion for analytics and science, as well as an interest in the travel industry

Job Responsibility

Work directly with stakeholders from across the business, getting to the heart of a problem and providing workable business solutions
provide analysis that addresses the underlying problem, ensuring solutions are implemented with the impact being tracked and results measured
gain experience in managing and explaining complex analysis to a variety of stakeholders
use a range of modeling and analytical techniques supported by appropriate software to answer key business questions or deliver decision-making applications
thrive in an environment where you can learn from senior colleagues with experience in a wide range of industries and new technologies

What we offer

Fantastic holiday benefits including discounts, special offers, and the ability to purchase additional ‘TUI time off’
private medical insurance, single cover with option to add dependants
health and wellbeing support in five key areas—financial, health, social, community, and career
excellent rates with foreign exchange and discounts with retailers
discovery day—time to spend working at a local charity or community
investment in your development
pension scheme and life assurance
on completion of the graduate programme a voucher and an extra day off
access to student discount via Totum Apprenticeships
network of other apprentices and colleagues

Fulltime

Data Science Graduate

Designs, develops and applies programs, methodologies and systems based on advan...

Location

United States , Ft. Collins

Salary:

64500.00 - 157500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

July 06, 2026

Requirements

Bachelor's degree in Data Science, Statistics, Operations Research, Computer Science or equivalent
Typically 0-2 years experience
Basic knowledge of data science methodologies
Basic understanding of business requirements and data science objectives
Basic data mapping, data transfer and data migration skills
Basic understanding of analytics software (e.g. R, SAS, SPSS, Python)
Basic knowledge of machine learning, data integration, and modeling skills
Basic knowledge of ETL tools (e.g. Informatica, Ab Initio, Talend)
Basic communication and presentation skills
Basic data knowledge of relevant data programming languages

Job Responsibility

Participates in the analysis and validation of data sets/solutions/user experience
Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives
May load data into the infrastructure and contributes to the creation of the hypothesis matrix
Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses
Contributes to building models for the overall solution, validates results and performance
Contributes to the selection of the model that supports the overall solution
Supports the research, identification and delivery of data science solutions to problems
Supports visualization of the model's insights, user experience and configuration tools for the analytics model

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment

Fulltime

Data Graduate Program

Fever's Data Graduate Program is a unique six-month rotational program designed ...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Bachelor/master's/PhD degree in Data Engineering, Data Science, Computer Engineering, Telecommunications, Mathematics or a related field
Top 10% of class with strong academic record
Curious, eager to learn, and excited to work in a fast-growing company
Strong analytical and problem-solving skills
All credits completed
Business-level English proficiency

Job Responsibility

Rotation across Data Engineering teams: build and manage scalable data pipelines using SQL, Python, and cloud-based databases
Rotation across Machine Learning teams: work on real-world ML models and recommendations, learn how ML models are developed, trained, and deployed
Rotation across Data Science teams: analyze complex business problems and help drive data-driven decisions using A/B testing and predictive modeling
Rotation across Web Analytics & Data Collection teams: improve data collection across Fever ecosystem using GA4 and Mixpanel

What we offer

Paid six-month contract with opportunity to transition into full-time role
Mentorship and training from experts
English lessons
40% discount on all Fever events
Cigna Health Insurance
Flexible remuneration with 100% tax exemption through Cobee
Gympass Membership
Relocation assistance for candidates outside Madrid

Fulltime

Data Graduate Program

Fever’s Data Graduate Program is a unique six-month rotational program designed ...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Have a bachelor / master's / PhD degree in Data Engineering, Data Science, Computer Engineering, Telecommunications, Mathematics or a related field
Are among the top 10% of their class and have a strong academic record
Are curious, eager to learn, and excited to work in a fast-growing company
Have strong analytical and problem-solving skills
Have all your credits completed
Speak and understand business-level English

Job Responsibility

Learn how to build and manage scalable data pipelines
Work with tools like SQL, Python, and cloud-based databases
Work on real-world ML models and recommendations
Learn how ML models are developed, trained, and deployed
Analyze complex business problems and help drive data-driven decisions
Use A/B testing and predictive modeling to optimize Fever’s platform
Improve how data is collected across the complex Fever ecosystem (multiple websites and mobile apps) to deliver the best quality inputs to all internal areas and stakeholders to make better decisions

What we offer

A paid six-month contract in Madrid, with the opportunity to transition into a full-time role
Rotation across key data teams
Mentorship and training from experts in the field
A fast-paced, high-impact learning environment where you’ll contribute from day one
English lessons
40% discount on all Fever events
Cigna Health Insurance
Flexible remuneration with a 100% tax exemption through Cobee
Gympass Membership

Fulltime

New

Graduate Data Engineer

apetito has been on an exciting journey to embed data at the heart of strategy a...

Location

United Kingdom , Trowbridge

Salary:

Not provided

apetito UK

Expiration Date

December 28, 2025

Requirements

Working towards or recently gained a degree in Computer Science/ Data Engineering/ Information Systems/ Mathematics/ Statistics/ Engineering or related technical discipline
Coding experience - SQL and Python or similar programming languages, with understanding of data structures and algorithms
Strong attention to detail
Problem solving skills and initiative
Experience collaborating on projects or shared work goals
Excellent communication skills and the confidence to engage senior managers from technical and non-technical background
Keen focus on data quality and governance standards
A can-do approach and sense of ownership of the work you deliver

Job Responsibility

Designing, building, and maintaining scalable data pipelines and ETL/ELT processes to ensure reliable data flows from various source systems to data warehouses and analytics platforms, supporting data quality and accessibility for business stakeholders
Work with Data Analytics, IT, Operations, Data Protection Officer and Business Intelligence colleagues, providing technical consultancy on data architecture and championing best practices in data governance, data quality, and metadata management
Work with large datasets both internal and external - developing data models, implementing data quality checks, and establishing data lineage documentation. This would involve developing a wide toolkit, including SQL, Python, Azure Data Factory, DataBricks, Spark, and data governance frameworks, and you would be expected to quickly learn and apply the latest tools that become available
Build your understanding of our data systems, data governance policies, regulatory requirements (such as GDPR), and to build strong relationships with the stakeholders across the business to understand their data needs and ensure compliance
Present your technical solutions to the senior management team

What we offer

Competitive salary – accredited Living Wage employer
25 days holiday per year, plus bank holidays
Option to purchase up to 5 additional days annual leave per year
Discretionary annual bonus scheme
Pension scheme - employer matched contributions up to 4%
Life assurance scheme worth at least 1x annual salary
Subsidised canteen
Free parking
Free turkey or voucher at Christmas
apetito perks scheme including salary sacrifice options and retail discounts

Fulltime

New

Graduate Trainee - Finance Analyst (Data Analyst)

This hybrid role leverages advanced data science and AI expertise to transform f...

Location

Malaysia , Penang

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

1-2 years of experience in data science, financial analytics, or business intelligence
Proficiency in Python, SQL, and ML libraries (Scikit-learn, TensorFlow, PyTorch)
Experience with data visualization tools and big data technologies
Strong business acumen and ability to communicate technical concepts to non-technical stakeholders
Exposure to ERP systems (SAP S4 preferred), master data management, and financial reporting
Experience with process improvement, automation, and project-based work
Excellent stakeholder management and communication skills
Bachelor’s degree in Finance, Data Science, Accounting, Statistics, or a related field
Chartered Financial Analyst (CFA), Master of Business Administration (MBA), or Certified Public Accountant (CPA) is an advantage

Job Responsibility

Develop and deploy predictive models (e.g., credit risk, fraud detection, revenue forecasting) using machine learning algorithms and time-series techniques (ARIMA, Prophet, XGBoost, Random Forest)
Design and implement generative AI solutions (LLMs, GANs) for workflow automation, information retrieval, and decision support
Build and maintain scalable data pipelines and infrastructure using tools like Airflow, KNIME, Snowflake, Hadoop, and Spark
Automate reporting processes and improve data pipelines for accuracy and efficiency
Perform exploratory data analysis and create visualizations (Power BI, Tableau, Plotly, Matplotlib) to communicate insights to stakeholders
Manage master data across financial systems to ensure consistency and integrity
Collaborate with cross-functional teams to translate business needs into technical requirements and deliver impactful solutions
Ensure compliance with data governance, financial regulations, and quality standards
Continuously experiment with new AI tools and techniques to drive innovation and process improvement

What we offer

AMD benefits at a glance

Graduate Analyst - AI Implementation

BRE is embracing the potential of Artificial Intelligence to improve efficiency,...

Location

United Kingdom , Watford

Salary:

30000.00 - 34000.00 GBP / Year

BRE

Expiration Date

Until further notice

Requirements

Recent graduate (or soon to graduate) in Computer Science, Data Science, AI, or a related discipline
Basic knowledge of AI/ML tools and concepts
Familiarity with programming or scripting (e.g., Python, JavaScript)
Analytical mindset with strong problem-solving skills
Ability to communicate technical information clearly to non-technical audiences
Willingness to learn and work collaboratively

Job Responsibility

Supporting teams in adopting AI tools and processes
Identifying and testing AI use cases to improve efficiency and reduce manual effort
Producing clear guidance and training materials for AI tools
Gathering feedback and monitoring the impact of AI-enabled processes
Working with teams to read and interpret information from SAP documents
Supporting the Energy team and other departments on AI-driven projects
Contributing to the development of Retrieval Augmented Generation (RAG) approaches to enhance BRE’s use of technical knowledge and data

What we offer

Pension scheme – 5% employer-matched contribution
Life assurance – 4x your basic salary
Enhanced maternity package
HealthPartners cashback scheme – Reclaim costs on prescriptions, physiotherapy, dental care, and more
Onsite facilities – Restaurant, nursery, and free parking, including at-cost EV charging points
Learning & development – Free access to BRE Academy and our online learning platform
Professional membership reimbursement

Fulltime

Graduate Data Analyst

Kick-start your career as a Data Analyst, where you’ll transform complex data in...

Location

United Kingdom , London

Salary:

28000.00 GBP / Year

GRAYCE

Expiration Date

Until further notice

Requirements

Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject
Experience in analysing data
Right to work in the UK unsponsored for the duration of the programme
Ability to work on site 5 days a week
2:1 Undergraduate Degree in a STEM field
Previous experience with tools such as Excel, R, SQL or Python

Job Responsibility

Transform complex data into actionable insights
Create dynamic visualisations and drive business decisions
Work with cutting-edge tools
Collaborate with stakeholders
Develop automated reports and dashboards
Design and maintain data pipelines
Integrate multiple data sources
Ensure data quality in a cloud-based environment
Write clean, testable code
Automate data transformation processes

What we offer

Industry-accredited qualifications
Mentoring from experienced Delivery Managers and Technical Trainers
Potential for significant salary progression
Employee Assistance Programme offering confidential assistance ranging from financial and legal support to health and wellbeing

Fulltime

Data Science Graduate

Hewlett Packard Enterprise

Location:
United States, Spring

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
August 21, 2025

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