Data Scientist Job at Matalan (Liverpool)

New

Data Scientist

As an Data Scientist part of the Data Insights & AI team, you will design, devel...

Location

Egypt , Cairo

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

3+ years of experience developing in Python and SQL / Machine Learning (ML) solutions
Hands-on GenAI experience (LLMs, RAG, Function Calling, MCP, Prompt Eng.)
Strong Python and SQL coding skills
Solid ML and statistical modeling knowledge and understanding
Experience delivering production-ready solutions consuming APIs, deployments and endpoints
Analytical mindset, strong ownership and ability to work effectively within a team
Experience with large-scale distributed data processing (PySpark)
Experience with Databricks and Azure Services
Applied experience in ML fields like Regression, Classification, Time Series, etc
Experience with GenAI frameworks and principles (e.g. RAG, LangChain, etc)

Job Responsibility

Dive into large and diverse datasets to identify patterns and opportunities
Apply statistical and AI-driven techniques to tackle business challenges
Collaborate with business stakeholders to understand challenges and identify high impact Analytical use cases
Translate business problems to data solutions and communicate findings efficiently to non technical audiences
Assist with the whole Data Product Lifecycle, from Proof of Concept to production
Team up with other Data Scientists, Data Engineers, AI and GenAI Engineers in an Agile way of work

What we offer

Bonus incentives
IT Equipment
Free product quota
Work with iconic brands
Supportive team
Wellbeing program
Work from home

Fulltime

New

Data Scientist

Join the TUI Global HR Systems and People Analytics Team as a Data Scientist, wh...

Location

Spain; Portugal , Palma; Porto

Salary:

Not provided

TUI

Expiration Date

July 01, 2026

Requirements

proven experience in data science, advanced analytics, or similar roles
Advanced hands-on skills in Python for data analysis, modelling, and automation
Strong experience with Tableau
proven expertise in machine learning techniques and statistical modelling
You've delivered end-to-end data science solutions in a business environment before
Translating business challenges into scalable analytical solutions comes naturally to you
Excellent communication and stakeholder management skills

Job Responsibility

drive the evolution of HR decision-making through advanced analytics, machine learning, and AI
operate at the intersection of data, business, and technology, shaping how we predict, optimize, and transform the employee experience across our global organization
Contributing to the development of predictive and prescriptive analytics use cases across HR
design and implement machine learning models for areas like attrition, hiring, and workforce planning
Supporting the adoption of AI solutions to automate data and HR processes
Building scalable data solutions using Python and modern data tools
translate complex analytical outputs into clear and actionable business insights
Ensure data quality, governance, and consistency across all analytics products

What we offer

Attractive remuneration
discretionary bonus schemes
generous travel benefits
extensive health & well-being support
Flexible working
A career to shape: Access the TUI Learning Hub to level-up and reach your ambitions
Broaden your network with intercultural collaboration and opportunities to work on global projects and teams
Community involvement with local charity and sustainability initiatives like the TUI Care Foundation

Fulltime

!

New

Data Scientist

We are looking for a Data Scientist to support AI and machine learning initiativ...

Location

United States , Palo Alto

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

PhD or master's degree in statistics, informatics, data science, or a closely related quantitative field
For candidates with a master's degree, at least 4 years of relevant experience applying data science methods to business, research, or healthcare problems
Demonstrated experience building, evaluating, and implementing machine learning models in applied environments
Proficiency in Python or R, with the ability to process and analyze large datasets using SQL and cloud technologies
Strong grounding in statistics, machine learning, and artificial intelligence concepts at the graduate level
Experience collaborating with clinicians, researchers, or other cross-functional subject matter experts on complex analytical initiatives
Solid communication, prioritization, and problem-solving skills, with the ability to manage multiple deliverables effectively

Job Responsibility

Create, implement, and support AI- and ML-driven workflows that improve clinical, research, and administrative processes
Partner with cross-functional stakeholders to define analytical needs and deliver data science solutions aligned with healthcare use cases
Assess and refine tools, platforms, and methods used to manage model development, deployment, and ongoing lifecycle activities
Train, test, and validate internally developed or externally sourced machine learning models using hospital data and established quality controls
Perform bias reviews and model performance checks to help ensure responsible and reliable use of predictive algorithms
Analyze large-scale healthcare datasets using Python, R, SQL, and cloud-based or distributed computing environments
Work alongside clinicians and researchers to adapt analytical methods for real-world use in care delivery and related settings

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

Data Scientist

Barclays is seeking a highly skilled and experienced Data Scientist, AVP, to sup...

Location

United States , New York

Salary:

125000.00 - 175000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Coding in Python, PySpark, R, SQL or other scripting languages
Understanding of Machine learning and Math statistical modelling
Considerable academic background in a quantitative/empirical field (math, statistics, economics, computer science, physics, chemistry, etc)

Job Responsibility

Support advanced analytics, develop predictive models, and drive data-driven decision-making across the organization
Design, develop, and deploy machine learning and statistical models to solve highly detailed business problems
Perform exploratory data evaluation to identify patterns, trends, and insights and build predictive and prescriptive analytics solutions to optimize business outcomes
Evaluate model performance and continuously improve model accuracy and scalability
Mentor junior team members and partner with business stakeholders to translate data insights into actionable strategies

Fulltime

Data Scientist

We are looking for a Data Scientist to join our team and help design, develop, a...

Location

Serbia , Novi Beograd

Salary:

Not provided

MDPI

Expiration Date

Until further notice

Requirements

Bachelor’s degree/ Master's degree in Computer Science or related
2-5 years of experience as a Data Scientist
2–5 years of experience in Python (including complex applications), Machine Learning, and LLMs
Strong background in data science, statistics, and analytical problem-solving
Intermediate proficiency in FastAPI, Celery, and Keycloak
Intermediate proficiency in PyTorch, TensorFlow, Scikit-learn, and Hugging Face
Proficiency in Natural Language Processing (NLP), including tokenization and named entity recognition (NER)
In-depth understanding of Artificial Intelligence principles
Strong working knowledge of Microsoft O365 tools
Excellent written and spoken English

Job Responsibility

Design, develop, and evaluate machine learning and statistical models, with a focus on NLP, recommender systems, and LLM-based solutions
Translate business problems into data-driven approaches and scalable analytical solutions
Perform data exploration, preprocessing, and feature engineering to ensure high-quality inputs for modeling
Develop, optimize, and benchmark models using appropriate metrics and validation strategies
Build and experiment with LLM-powered systems, including agentic workflows and RAG
Investigate, reproduce, and compare research prototypes and state-of-the-art methods
Collaborate with engineering teams to support the integration of models into production
Monitor and analyze model performance and iterate to improve accuracy and robustness
Supervising Master/ Ph.D. students when there are trainees in the team
Representing the company in e.g. attending conferences, writing scientific articles

Fulltime

Data Scientist

Join us as a "Data Scientist" at Barclays, where you'll build analytical tools t...

Location

India , Gurugram

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Is It IC OR People Manager role – IC role
Educational Qualification – Graduation as a minimum
Bachelor or masters degree in data science (or similar) or equivalent commercial experience
Experience with working with senior stakeholders across the data science life cycle from inception of an idea to the delivery within a production environment
Ability to translate technical work into business terms and communicate value to business stakeholders
Commercial experience in applying machine learning techniques to generate business value (e.g. clustering, classification, regression, NLP techniques)
Ability to write close to production standard code with strong understanding of key coding principals e.g. separation of concerns, generalisation of code. Strong experience in Python and SQL is a must
Familiarity with AWS data science and AI services, including SageMaker and Bedrock
Understanding of GenAI, LLMs and the RAG framework
Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools

Job Responsibility

Build analytical tools to generate insight, recognise patterns and predict behaviour, and deliver content direct to users of information products
Work with technical teams, architects, designers, and administrators to overcome technical challenges
Take ownership of key initiatives to deliver results through an agile workflow
Design, test and build complex forecast models and simulations to identify causal links between customer behaviour and business opportunities and performance
Build relationships with senior stakeholders across the bank to seek out opportunities to add value through Data Science and GenAI
Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank
Leverage AWS services for data transformation, feature engineering, AI product development and deployment
Communicate complex technical ideas to stakeholders via data visualisation
Work closely with our equivalent ML Ops team in technology to streamline the path to production for successful projects

What we offer

Health and wellness
Gain access to wellness rooms, gyms and mental health support
A place where you can belong
Our welcoming and inclusive culture supports you to bring your whole self to work, explore your potential and pursue your passions
Collaborative Areas
Modern spaces designed for teamwork and brainstorming
More than work
Be you. Be valued. Belong

Fulltime

Data Scientist

Amazon Quick Suite is an enterprise AI platform that transforms how organization...

Location

United States , Seattle; Santa Clara; New York

Salary:

136000.00 - 212800.00 USD / Year

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

2+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
1+ years of working with or evaluating AI systems experience
1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Experience applying theoretical models in an applied environment

Job Responsibility

Design and develop comprehensive evaluation and benchmarking datasets for Quick Suite AI-powered features
Leverage LLMs for synthetic data corpora generation
data evaluation and quality assessment using LLM-as-a-judge settings
Create ground truth datasets with high-quality question-answer pairs across diverse domains and use cases
Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance
Develop and refine annotation guidelines and quality frameworks for evaluation tasks
Conduct statistical analysis to measure model performance, identify failure patterns, and guide improvement strategies
Collaborate with ML scientists and engineers to translate evaluation insights into actionable product improvements
Build scalable data pipelines and tools to support continuous evaluation and benchmarking efforts
Contribute to Responsible AI initiatives by developing safety and fairness evaluation datasets

What we offer

health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave
sign-on payments
restricted stock units (RSUs)

Fulltime

Data Scientist

WFH flexibility! Up to 4 days/week! Global Environment! Competitive salary!

Location

Japan , 東京23区

Salary:

7000000.00 - 12000000.00 JPY / Year

Randstad

Expiration Date

February 29, 2028

Requirements

MIN 5+ years of experience in advanced analytics roles within companies, delivering successful business outcomes
Able to communicate efficiently in both Japanese and English with technical and business stakeholders
Proficiency in quantitative methods and business analytics, with strong problem-solving skills
Ability to build and apply data models using machine learning techniques such as classification, regression, clustering, time-series analysis, and dimensionality reduction
Competent in programming with tools like Python and SQL
Strong understanding of data visualization tools, especially PowerBI
Experience with CI/CD, MLOps, and cloud platforms like Azure for deploying analytics and ML solutions
Hands-on experience with data analytics tools and libraries such as Pandas, PySpark, and AzureML
Background in financial or insurance domain, particularly in operations and marketing

Job Responsibility

WFH flexibility! Up to 4 days/week!
Global Environment!
Competitive salary!

What we offer

健康保険
厚生年金保険
雇用保険
土曜日
日曜日
祝日

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