Data Graduate Program Jobs

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

HPE Graduate Program - Presales Graduate

A career as a PreSales Graduate allows you the opportunity to drive deals from q...

Location

Thailand , Bangkok

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Completed Bachelor’s or Master’s degree within the last 12 months from the start date in computer science, software engineering or equivalent
Strong understanding of cloud computing concepts, architectures, and services (e.g., AWS, Azure, Google Cloud)
artificial intelligence concepts, machine learning frameworks and data analytics
sustainability concepts, practices, and technologies, particularly in how they relate to IT solutions
security and containerization technologies (e.g. DevOps tools or Kubernetes)
Data Center Infrastructure & Networking concepts
Familiar with server operating system such as Windows Server, Linux
Proficiency in programming languages such as Python, Java, or JavaScript
Strong analytical skills with the ability to interpret complex data sets
Strong verbal and written communication skills in English

Job Responsibility

Gather information appropriately to develop an accurate understanding of customer technology infrastructure in the Data Centre Technologies Area
Contribute to the creation of an appropriate technical solution to meet the customer’s requirements
Adapts solution design to new requirement
Maintain good communications with customers and partners.
Advance opportunities effectively
Actively support the account team with product advice, BOM configuration, proposal support, presentations, and other customer/partner communications
Deliver product/solution presentations to customers/partner in one-one or public event.
Engage appropriate additional technical resources as needed

What we offer

Health & Wellbeing
Personal & Professional Development
Diversity, Inclusion & Belonging

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

Data Science Graduate

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

Location

United States , Spring

Salary:

60800.00 - 181200.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

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 (eg. R, SAS, SPSS, Python)
Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend)
Basic communication and presentation skills
Basic data knowledge of relevant data programming languages
Basic knowledge of data visualization techniques

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 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

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

Pre Sales Graduate

A career as a PreSales Graduate allows you the opportunity to drive deals from q...

Location

Singapore , Central Singapore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Completed Bachelor’s or Master’s degree within the last 12 months from the start date in computer science, software engineering or equivalent
Strong understanding of cloud computing concepts, architectures, and services (e.g., AWS, Azure, Google Cloud)
artificial intelligence concepts, machine learning frameworks and data analytics
sustainability concepts, practices, and technologies, particularly in how they relate to IT solutions
security and containerization technologies (e.g. DevOps tools or Kubernetes)
Data Center Infrastructure & Networking concepts
Proficiency in programming languages such as Python, Java, or JavaScript
Strong analytical skills with the ability to interpret complex data sets
Strong verbal and written communication skills in English
Experience or a proven interest in sales and a passion for technology

Job Responsibility

Gather information appropriately to develop an accurate understanding of customer technology infrastructure in the Data Centre Technologies Area
Contribute to the creation of an appropriate technical solution to meet the customer’s requirements
Adapts solution design to new requirement
Maintain good communications with customers and partners
Advance opportunities effectively
Actively support the account team with product advice, proposal support, presentations, and other customer communications
Engage appropriate additional technical resources as needed

What we offer

Health & Wellbeing
Personal & Professional Development
Diversity, Inclusion & Belonging

Fulltime

Mehnaty Analyst Program

Mehnaty Graduate Analyst is an Emirati Program for a duration of 12 months desig...

Location

United Arab Emirates , Dubai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Have already graduated between 2022 – 2025
Obtained or on course to achieve a 2:1 as per UK education system or GPA 3 or equivalent and above
Keen interest in a career in financial services
Excellent interpersonal skills to deal internally and externally with clients
Strong analytical and Presentation skills
Desire to develop a deep understanding of the financial industry
Intellectual curiosity and proactive approach to searching for new and creative ideas
Articulate, strong communication, planning, and organisational skills
Strong desire to learn
Proactive

Job Responsibility

Showcase skills in some of the credit operational areas
Work within the Wealth Business that consists of Credit Cards and Security-Based Lending Underwriting, Collections, Data and Analytics

What we offer

Opportunities for career growth
Internal mobility
Global work environment

Fulltime

Data Graduate Program

Fever

Location:
Spain, Madrid

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 19, 2025

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