Big Data Scientist Job at Vodafone (Athens)

Data Scientist (Big Data) III – Contractor

The Senior Data Scientist (Big Data) will support large-scale data science initi...

Location

United States , Philadelphia

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Strong hands-on experience with PySpark, Python, and R for data analysis and machine learning
Experience working in AWS cloud environments
Proficiency with Databricks for large-scale data processing and analytics
Experience building and supporting large-scale data pipelines and ETL workflows
Demonstrated experience applying statistical and modeling techniques, including: Hypothesis testing, Supervised and unsupervised learning, Forecasting and regression, Dimensionality reduction and clustering
Experience working with relational databases, SQL, and large datasets
Ability to gather, interpret, and translate business requirements into technical solutions
Strong communication skills with the ability to present complex concepts to diverse audiences
Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field, or equivalent practical experience
Typically 5+ years of relevant professional experience in data science, analytics, or related roles

Job Responsibility

Lead complex, cross-functional data science initiatives delivering solutions across multiple technologies and platforms
Design, develop, and deploy data mining, statistical, machine learning, and graph-based algorithms for large-scale data sets
Partner with data engineering teams to ensure proper implementation, performance, and operational use of analytical solutions
Review and assess data science programs and models at an enterprise level to evaluate suitability, performance, and scalability
Build and maintain scalable big-data analytics solutions supporting accurate targeting, forecasting, and advanced insights
Develop and support end-to-end machine learning pipelines, including data preparation, training, testing, validation, and deployment
Establish performance metrics, monitoring, and evaluation procedures for models in production
Translate complex analytical findings into clear, actionable insights for technical and non-technical stakeholders
Provide mentorship and technical guidance to junior team members
Contribute to data strategy, methodology selection, and continuous improvement of analytics capabilities

What we offer

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

Fulltime

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...

Location

United States , Boston, MA/San Ramon, CA

Salary:

100000.00 - 160000.00 USD / Year

Berkshire Hathaway Specialty Insurance

Expiration Date

Until further notice

Requirements

Advanced degree (Master’s or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline
Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics
Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions)
Strong applied statistics skills for: Risk modeling
Predictive analytics
Pricing & underwriting analytics
Catastrophe exposure analysis
Proficiency in statistical and machine learning techniques, including: Regression (GLM, GAM, GAMMs)
Time-series forecasting
Gradient boosting, random forests, and other tree-based models, neural networks models

Job Responsibility

Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
Work with domain experts across teams and perils to enhance our use of available data
Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions
Conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities

What we offer

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement

Fulltime

Big Data Scientist for the Services Analytics Plateau

The Services Analytics Plateau (working mode: Agile Scrum) is searching for an e...

Location

Germany , Manching

Salary:

Not provided

Airbus

Expiration Date

Until further notice

Requirements

M.Sc. (ideally Ph.D.) in statistics, physics, mathematics, computer science, aerospace engineering or a related field
Several years of relevant professional experience working in data-driven projects, preferably within an Agile environment
Demonstrated expertise in processing and analysing of aircraft sensor and maintenance data
Hands-on experience on the development and in-service implementation of health monitoring and predictive maintenance models for the aerospace sector
Deep knowledge and expertise in data analysis and statistical interpretations of data (e.g. probability distributions, statistical tests, anomaly detection, Bayesian inference)
Experience working in Big Data Projects using Spark and Spark-Submit Jobs for building ELT pipelines and creating data products
Working knowledge of Unix systems, including command-line operations and scripting (e.g., Bash)
Expertise in DevOps and Python coding in a production environment, as well as excellent knowledge of SQL technologies and databases
Experience in the development visualisation tools (e.g. Spotfire) and front-end applications (Streamlit, Django)
Fluent in English and ideally also in German

Job Responsibility

Product discovery and maturation: Ask the right questions to support the discovery process
Identify the data-analytics problems that offer the greatest opportunities to the organization
Perform exploratory data analysis using visualization and sense
You are or will be familiar with our business and actively follow market trends
You present your findings to stakeholders using visualisation and other means
Data structuring: Collating data and "data wrangling", i.e. transforming, cleansing and linking it with other data.
Providing data sets for machine data models
determining relationships between data source attributes
Apply data mining techniques to carry out statistical analysis.
Create and validate models, also but not only using ML

What we offer

Attractive salary and special payments
30 days paid vacation and extra days-off for special occasions
Excellent upskilling opportunities and great international, group wide development prospects
Special benefits: employer-funded pension, employee stock options, discounted car leasing, special conditions for insurances, subsidies for public transport, employee benefits at cooperating companies
On-site-facilities: Medical officer for check-ups and other health-related services, canteen and cafeteria, kindergarten close to the site
Compatibility of family & work (job sharing, part-time models, flexible working hours, individual timeout)
Working in a diverse environment, with more than 140 nationalities, where every voice is heard

Fulltime

Big Data Junior Scientist

We are seeking a highly motivated and analytically driven The Big Data Junior Sc...

Location

Poland , Warsaw

Salary:

90440.00 - 142960.00 PLN / Year

Citi

Expiration Date

Until further notice

Requirements

Master or Bachelor degree in technical science/mathematics/statistics/quantitative methods (degree in economics/banking may be considered if strong analytical skills proved) (4-5th year students may be considered as well)
Some experience in data mining methods and their application in business practice
Programming and statistical/data analytical skills (SQL, Python)
Initiative, creativity and attention to details
Ability to discuss reasoning, critical assessment of facts and opinions
Demonstrated ability to communicate effectively, both orally and in writing
Self-motivated with high desire of self-development and learning

Job Responsibility

Conduct data-driven analyses and reports
apply qualitative and quantitative data analysis methods, prepare statistical and non-statistical data exploration
Apply statistical methods to organize, analyze, and interpret data related to AML monitoring scenarios and thresholds
Build and implement models and algorithms
Detect data anomalies and identify source of data problems
Use visualization techniques to display data and the results of analysis in clear presentations
Design statistically valid samples, design and conduct statistical experiments
Work with existing AI models and contribute to the exploration and implementation of new AI-driven solutions for data analysis and pattern recognition
Ensure Data Quality and Reliability
Design and implement various Data Quality methods

What we offer

Employer paid Defined Contribution Pension Plan contribution of 6% of employee’s pensionable earnings (PPE Program)
Employer paid Private Medical Care Package for employees and Private Medical Care Packages for certain family members available at preferential rates
Employer paid Life Insurance Program for employees and Life Insurance for certain family members available at preferential rates
Employee Assistance Program financed by Employer
Paid Parental Leave Program (maternity and paternity leave
statutory and 2 weeks additional paid paternity leave)
Sport Card for employees subsidized via Social Benefits Fund and Sport Cards for certain family members available at preferential rates
Additional benefits from Company’s Social Benefit Fund, in particular: Holidays Allowance, support for sport and cultural activities, team building events
Additional day off for volunteering
Cafeteria/ flex benefit

Fulltime

Data Analytics Lead - Data Scientist - Vice President

The Data Analytics Lead / Data Scientist is a strategic professional who stays a...

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles
Advanced proficiency in SQL and relational database concepts
Strong programming experience in Python (required)
PySpark preferred
Hands-on experience building and deploying machine learning models (supervised and unsupervised)
Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
Strong knowledge of statistical modeling, feature engineering, and model validation techniques
Experience with BI tools such as Tableau or Power BI
Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred
Experience working with large-scale enterprise or financial datasets

Job Responsibility

Integrates subject matter and industry expertise within a defined area
Contributes to data analytics standards around which others will operate
Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function
Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers
Resolves occasionally complex and highly variable issues
Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken
Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Lead the design and execution of complex data analysis and AI/ML initiatives across large, structured, and unstructured datasets
Develop and deploy predictive, classification, clustering, and forecasting models to support business strategy and risk management

Fulltime

Senior Data Scientist

We are seeking an experienced Senior Data Scientist to design, develop, and depl...

Location

India , Hyderabad

Salary:

Not provided

YASH TECHNOLOGIES CONSULTING INC.

Expiration Date

Until further notice

Requirements

Strong foundation in Mathematics, Statistics, and Machine Learning theory
Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face)
Proven expertise in NLP, Computer Vision, or Generative AI (Transformers, RAG, LLMs, CNNs, Vision Transformers)
Hands-on experience with Big Data technologies (Spark, Hadoop, Kafka, Hive)
Strong knowledge of SQL and building data pipelines
Experience with cloud platforms (Azure ML, AWS SageMaker, or GCP AI Platform)
Hands-on experience with web/backend integration (REST APIs, Django, FastAPI, Spring Boot)
Understanding of MLOps (CI/CD, Docker, Kubernetes, model monitoring)
Bachelor’s/Master’s/PhD in Computer Science, Statistics, Mathematics, Data Science, or related field
4–7 years of experience in Data Science/AI with proven delivery of projects at scale in production environments

Job Responsibility

Design and implement advanced machine learning, deep learning, and AI models across domains such as NLP, computer vision, recommendation systems, and generative AI
Develop data strategies including preprocessing, feature engineering, and scalable data pipelines
Apply MLOps best practices for model development, deployment, and monitoring
Collaborate with stakeholders to understand business problems and define data-driven solutions
Stay current with the latest advancements in AI/ML and evaluate their potential applications
Ensure models are explainable, ethical, and compliant with regulatory requirements

Sr. Data Scientist

We are seeking a highly experienced Senior Data Scientist to lead the developmen...

Location

Canada , Toronto

Salary:

57.46 - 67.04 USD / Hour

Randstad

Expiration Date

June 21, 2026

Requirements

5+ years of dedicated experience in Data Science, Machine Learning, and advanced analytics
5+ years of hands-on experience with Azure SQL Server, Azure Synapse, and Azure Databricks
5+ years of proficiency in SQL and Python, with expert-level skills in Apache Spark for big data processing
Proven track record of building and deploying models in Azure Machine Learning and leveraging Azure Open AI services
Expertise in Power BI or similar tools for executive-level reporting and data storytelling
Solid understanding of data lake architecture, data modeling, and big data solution principles
Strong problem-solving abilities and familiarity with AODA and the Ontario Human Rights Code (OHRC)
Certifications (Desirable): Azure Data Engineer Associate or Azure AI Engineer Associate

Job Responsibility

Design, develop, and deploy machine learning models for predictive analytics, demand forecasting, and service reliability using Azure Machine Learning (AML) and Azure Open AI
Transform and process large-scale structured and unstructured datasets utilizing Azure Databricks and Apache Spark
Build, maintain, and optimize robust ETL pipelines within a data lake and data warehousing environment
Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling to derive insights from complex data models
Create high-impact dashboards and reports using Power BI to communicate findings to stakeholders and support data-informed decision-making
Partner with cross-functional teams to identify business needs while ensuring best practices in data governance, model performance, and scalable architecture
Produce detailed technical designs, functional specifications, and status reports throughout the project lifecycle

What we offer

36-month contract
Immediate start
Project Longevity: A 36-month term offers exceptional stability and the opportunity to see complex AI initiatives from conception to long-term implementation
Modern AI Stack: Gain extensive experience working with the latest Azure Open AI and Databricks features in a production environment
Strategic Influence: Directly impact operational efficiency and transit experiences through high-visibility predictive modeling
Professional Growth: Collaborate with multi-disciplinary teams and multiple stakeholders in a mature cloud computing and data virtualization ecosystem

Fulltime

Big Data Engineer

We are seeking a talented and experienced Big Data Hadoop Developer to join our ...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field
3-4 years of professional experience in Big Data development
Proven experience with the Hadoop ecosystem, including HDFS, YARN, Hive, and other related technologies
Hands on experience in SQL and shell scripting
Strong expertise in Apache Spark for data processing and analysis
Proficiency in at least one of the following programming languages: Scala, Python, or PySpark
Experience with building and optimizing large-scale data pipelines
Familiarity with data warehousing concepts and ETL methodologies
Solid understanding of distributed computing principles
Excellent problem-solving skills and attention to detail

Job Responsibility

Design, develop, and maintain robust and scalable ETL processes and data pipelines using Apache Hadoop and Apache Spark
Write efficient, clear, and well-documented code primarily in Scala, Python, or PySpark for big data processing
Implement data ingestion, transformation, and loading routines from various sources into Hadoop Distributed File System (HDFS) and other big data stores
Optimize existing Spark jobs and Hadoop ecosystem components for performance and scalability
Collaborate with data architects, data scientists, and other stakeholders to understand data requirements and translate them into technical solutions
Ensure data quality, integrity, and security across all big data platforms
Participate in code reviews, testing, and deployment of big data applications
Troubleshoot and resolve issues in big data environments
Stay up-to-date with the latest trends and technologies in the big data ecosystem

Fulltime

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Big Data Scientist

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