Global Data Scientist Job at Randstad (Budapest)

Senior Data Scientist - Inference, Global Markets

Partner closely with product managers, designers, engineers and operations acros...

Location

China

Salary:

Not provided

Airbnb

Expiration Date

Until further notice

Requirements

5+ years of industry experience in a fast-paced tech environment with a BS/Master’s in a technical field related to mathematics, computer science, statistics, economics, machine learning
2+ years of relevant experience and a PhD in similar fields
Strong knowledge of causal inference and experimentation
Expertise in SQL, Python or R
Ability to solve business problems using appropriate methods and models
Strong stakeholder communication skills and the ability to translate complex analyses into compelling narratives and business actions

Job Responsibility

Work closely with cross-functional stakeholders to define product scopes, evaluate impact, and set roadmap priorities
Architect and implement rigorous measurement plans, using A/B tests and quasi-experimental methods to assess product success and inform strategic bets
Interpret unexpected outcomes, identify bias in experiments, and drive solutions to ensure measurement quality
Conduct in-depth research into customer behaviors and preferences across markets to unlock opportunities for international business growth
Develop scalable frameworks, models and systems that enable product features to be more refined and tailored to the needs of local markets
Actively present data findings and ideas to stakeholders at different levels, and turn proposals into actions and tangible results for the business and our customers

New

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

Fulltime

New

Spatial Data Scientist

The role sits at the intersection of economics, spatial data science, and geospa...

Location

United Kingdom , London

Salary:

Not provided

Oxford Economics

Expiration Date

Until further notice

Requirements

Degree in economics, geography, data science, statistics, or a closely related discipline (postgraduate preferred)
Strong proficiency in Python for spatial data analysis. Experience working with packages like geopandas, shapely, polars, folium, duckdb, OSMnx and developing modern version-controlled workflows using Git or similar systems
Experience working with vector/raster data, spatial indexing, and coordinate reference systems Experience building reproducible analytical workflows and data pipelines
Knowledge of socioeconomic concepts relevant to sub-national analysis is highly desirable
Experience working with APIs, cloud-hosted datasets, or large tabular/geospatial data at scale
Competent with data visualisation tools
Strong written communication: ability to distil technical results into clear, accessible outputs
Ability to manage own workload across multiple concurrent projects
Genuine interest in cities, regions, urban economics, location intelligence, or related fields

Job Responsibility

Design and build spatial economic models to analyse urban economic performance, spatial disparities, and geographic drivers of economic activity
Contribute to the development of city, regional, and sub-national forecasting methodologies
Build and maintain Python-based data pipelines to process, integrate, and analyse large geospatial datasets
Work with a wide range of data sources, such as Census data, satellite-derived indicators, global buildings and transport datasets, administrative boundaries, and Oxford Economics forecasts
Apply machine learning techniques for classification and regression tasks on spatial and economic data
Conduct advanced spatial analyses, like geographically weighted regression, spatial autocorrelation analysis, and spatial autoregressive modelling
Support the development of scalable location intelligence products, digital tools, and analytical workflows
Contribute to location intelligence tools and products, including map-based visualisations and interactive dashboards
Prepare clear written outputs to communicate technical findings to non-specialist audiences
Collaborate across the Cities Team and with other Oxford Economics teams on cross-functional projects

What we offer

Private Healthcare
Employee Assistance Program
Enhanced Maternity and Paternity Leave
Workplace Nursery Scheme
Cycle to Work Scheme
Hybrid/Flexible Working
Team Gatherings and Connection Boost

Fulltime

New

Senior Data Scientist - GenAI & ML

CRU Group is seeking a technically strong, hands-on Senior Data Scientist to joi...

Location

United Kingdom , London

Salary:

Not provided

CRU International

Expiration Date

Until further notice

Requirements

MSc or higher in a quantitative discipline such as econometrics, statistics, mathematics, physics, or similar
Expert-level Python skills and strong command of the core scientific stack, including Pandas, Scikit-learn, SciPy, and NumPy
3–5+ years of experience in data science, machine learning, econometrics, or a related technical field
Proven track record of independently delivering solutions, including model design, training, evaluation, deployment, and monitoring
Strong exposure to time-series forecasting or commodity data
Creative thinker with a robust approach to data and modelling
Hands-on experience working with machine learning and LLMs
Hands-on experience building AI applications beyond simple chatbot interfaces
Goal-oriented, with a high level of energy and enthusiasm
able to operate efficiently, effectively, and professionally in a fast-paced, dynamic, results-driven business environment

Job Responsibility

Build and deliver solutions across predictive analytics, machine learning, and LLM-based AI
Design, develop, and implement bespoke ML and AI agents and multi-step workflows using modern frameworks such as LangChain, LangGraph, or similar technologies
Develop robust, scalable, production-grade Python code
Partner with senior stakeholders to translate business needs into clear technical requirements and measurable outcomes
Own delivery end-to-end, including problem framing, data discovery, model development, evaluation, integration, deployment, monitoring, and iteration
Collaborate with global teams of analysts, product managers, product modellers, and engineers to deliver high-quality, reliable solutions
Mentor team members and contribute to raising standards for technical execution and delivery discipline
Stay current with developments in machine learning, statistical learning, generative AI, LLMs, and agentic workflows, and identify practical opportunities to apply these technologies within risk and trading services

What we offer

Competitive salary and flexible benefits package
Opportunities for professional growth and development as part of a global company
A collaborative and supportive work environment
The chance to work with industry-leading experts and over a diverse range of topics and projects

Fulltime

Senior Data Scientist

Our current work includes: Agentic pipelines — multi-step LLM systems with tool ...

Location

United Kingdom , London

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

5+ years shipping ML models to production — you've dealt with data drift, silent failures, retraining cadences, and the gap between offline metrics and business outcomes
Deep, demonstrable expertise in at least one of: NLP/LLMs, computer vision, recommender systems, or causal inference
Hands-on experience with LLM fine-tuning (LoRA, RLHF, DPO) or building LLM-powered systems (agents, RAG, structured generation)
Strong software engineering habits — version control, testing, code review, CI/CD
Comfort with ambiguity
Clear communication

Job Responsibility

Design and run training pipelines — data curation, model selection, hyperparameter search, ablation studies — and be accountable for model quality on live traffic
Build and maintain production inference services (latency budgets, batching strategies, quantisation, monitoring) that serve WPP's global client base
Architect agentic AI systems: define tool schemas, orchestration logic, evaluation criteria, and failure modes for multi-step LLM workflows
Work across the stack when needed — write the data pipeline, train the model, build the evaluation harness, deploy the service, and debug it when metrics drift
Set technical direction for your workstream: write design docs, make build-vs-buy decisions, and defend your approach with evidence
Mentor and set the quality standards for junior scientists

What we offer

Enhanced pension
Life assurance
Income protection
Private healthcare
Remote working
Truly flexible working hours
Generous Leave - 27 days holiday plus bank holidays and enhanced family leave
Annual bonus
Impactful projects
People oriented culture

Fulltime

Database Analyst/Programmer II / Data Scientist

We are seeking an experienced Data Analyst / Programmer to support our data acqu...

Location

United Kingdom , Larne

Salary:

Not provided

Randstad

Expiration Date

August 29, 2026

Requirements

Strong, hands-on proficiency in Python
Solid experience with Snowflake and SQL
Proven experience with the Microsoft Power Platform (Power BI, Power Apps, Power Automate)
Experience working with CRM data (preferably Salesforce)
Clear understanding of data modeling, analytics, and data quality principles
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field is preferred

Job Responsibility

Develop and maintain robust ETL/ELT pipelines
cleanse, transform, and manage enterprise data
support scheduled data loads and quality checks
Provide curated datasets for business analysis, support KPI development, and troubleshoot data reporting issues
Design and develop dashboards and workflows using Microsoft Power Platform
support CRM data integration (Salesforce) and identify new automation opportunities
Partner with cross-functional and global teams while adhering to established data governance and development standards

Fulltime

Lead Data Scientist MSAT GCC

Work with global multidisciplinary teams to accelerate data-driven process under...

Location

India , Bengaluru

Salary:

Not provided

GSK

Expiration Date

Until further notice

Requirements

Preferred Level of Education: Masters degree or PhD in data science, computer science, statistics, mathematics, or related field
10-16 years of experience in pharmaceutical or biopharmaceutical MSAT in applying data science and/or programming within industry and/or university, preferably within pharmaceutical industry in multidisciplinary multicultural teams
Fluent in English (verbal and written)
Strong written/oral communication and presentation skills with proven experience of communicating at different levels across an organisation including communicating complex information in logical and simplified terms
Strong programming skills with at least one scientific programming language e.g. Python, R, MATLAB
Expertise in applying data science within the pharmaceutical industry
Strong knowledge of relevant regulations and guidelines, e.g, stability guidelines (ICH, USP), relevant chapters from Eur.Ph.
Long-term experience with Health Authorities such as FDA, EMA, etc.

Job Responsibility

Act as an essential partner within cross-functional global teams by providing data science expertise to design, develop, and optimize business-impacting data solutions
Actively participate in all stages of model design and development (from data collection, data quality control, model building, model validation, testing, and model monitoring & lifecycle strategy) adhering to business leadership standards
Design, build, and maintain highly complex quantitative and analytical models to inform/drive strategic direction and/or improve business performance
Lead the data analysis, and exploration, reporting and communication of results and conclusions in the form of technical documents and presentations in accordance with regulatory and internal guidance
Review the data science element of technical documents as a Subject Matter Expert
Influence GSK internal policies, guidelines and SOPs to ensure appropriate data evaluation
Actively participate with the wider data science network (MSAT, Quality, TRD and R&D, as well as with the GPS community) to develop, align and standardize data evaluation methodologies and conventions
Upskill the organisation through coaching, mentoring, and training of non-experts and junior statisticians and data scientists as required on the appropriate application of data science, statistics, and data evaluation tools
Manage external and internal collaborations with statistical and data science thought leaders and groups in other functions and divisions
Monitor and assess new and emerging industry trends and evolving regulatory expectations for data science technologies (such as Machine/Deep Learning and Artificial Intelligence)

What we offer

Competitive base salary
Annual bonus based on company performance
Flexible working options available for most roles
Learning and career development
Access to healthcare & wellbeing programmes
Employee recognition programmes

Fulltime

Manager - Senior Data Scientist

We are seeking an experienced data science professional to play a pivotal role w...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

At least six years of hands-on experience developing analytical models using large-scale datasets in a commercial, consumer, or digital environment
Proficient in Python and PySpark, with end-to-end experience from problem definition through to production deployment
Strong grounding in statistical learning and machine learning techniques, including regression, tree-based models, clustering, NLP, deep learning, and reinforcement learning
Experienced with modern machine learning libraries such as scikit-learn, MLlib, TensorFlow, PyTorch, H2O, and R
Knowledgeable in data warehousing and big data technologies, including SQL, NoSQL, Spark, and related ecosystems
Familiar with experimentation, A/B testing, and developing analytical reports and insights

Job Responsibility

Analyse large volumes of structured and unstructured data to test hypotheses, uncover patterns, and deliver actionable business insights
Design, develop, validate, and deploy machine learning models that support predictive and prescriptive decision-making
Build and maintain data visualisation dashboards to communicate insights clearly to a wide range of stakeholders
Collaborate with data engineers, analysts, and business stakeholders to translate business problems into scalable analytical solutions
Contribute to and help shape the global analytics community, ensuring continuous improvement and adoption of leading-edge analytical techniques

What we offer

The opportunity to work on high-impact, real-world business problems using advanced analytics and AI
Exposure to a global analytics community and collaboration with diverse stakeholders across Vodafone
A role that supports continuous learning, experimentation, and innovation in data science

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Global Data Scientist

Job Responsibility

Requirements

What we offer

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