Senior Data Scientist (hands-on & production focus) Job at FinXL (Sydney)

Senior Data Scientist –GCP Focus (Marketing Analytics)

At Valtech, you’ll find an environment designed for continuous learning, meaning...

Location

Brazil

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns)
Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys)
Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines
Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics
Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems
Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation
Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting
Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations
4+ years of experience in similar data science, marketing analytics, or advanced analytics roles
Advanced English proficiency

Job Responsibility

Contribute to production readiness through monitoring
incident response support
and operational runbooks to meet agreed service levels
Conduct root-cause analysis of production issues that lead to adverse model outputs
Design
build
and optimize marketing mix models (MMM)
attribution models
and other econometric or causal models using marketing data
Select and implement appropriate machine learning models for time-series forecasting

What we offer

Flexibility
with remote and hybrid work options (country-dependent)
Career advancement
with international mobility and professional development programs
Learning and development
with access to cutting-edge tools
training and industry experts

Fulltime

Senior Data Scientist- GCP Focus (Marketing Analytics)

Ideal candidates will bring a strong quantitative background and a disciplined a...

Location

Colombia

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns)
Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys)
Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines
Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics
Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems
Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation
Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting
Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations
4+ years of experience in similar data science, marketing analytics, or advanced analytics roles
Advanced English proficiency

Job Responsibility

Contribute to production readiness through monitoring, incident response support, and operational runbooks to meet agreed service levels
Conduct root-cause analysis of production issues that lead to adverse model outputs
Design, build, and optimize marketing mix models (MMM), attribution models, and other econometric or causal models using marketing data
Select and implement appropriate machine learning models for time-series forecasting, supply-chain optimization, and marketing performance use cases
Contribute well-tested, maintainable code to existing object-oriented Python codebases
Analyze raw, large-scale datasets to deliver meaningful impact for enterprise clients while maintaining scientific rigor
Engineer data pipelines and data products that enable stakeholders to make informed, data-driven marketing and business decisions
Communicate analytical insights in a clear, intuitive, and visually compelling manner for marketing, product, and executive audiences
Create highly visual and interactive dashboards using Tableau, Power BI, Looker, or custom web applications
Conduct deep-dive analyses and design KPIs to measure marketing effectiveness, ROI, incrementality, and business growth

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Senior Data Scientist

We are looking for an experienced Senior Data Scientist to drive advanced analyt...

Location

Poland

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong experience in machine learning, statistics, and applied data science
Experience with causal inference, experimentation, or decision science methodologies
Solid understanding of forecasting, optimization, or analytical modeling techniques
Strong programming skills in Python and SQL
Experience building and deploying production-ready data science or ML systems
Familiarity with model lifecycle management (training, deployment, monitoring)
Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP
Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)
Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)
Ability to translate business problems into analytical frameworks

Job Responsibility

Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
Build reusable modeling frameworks that can scale across multiple domains
Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
Translate observational and experimental data into actionable business insights
Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs)
Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows
Contribute to the development of intelligent agents and AI-assisted decision-making systems
Combine structured data models with unstructured data and GenAI outputs
Build forecasting models (time-series, probabilistic, causal) to support planning and operations

What we offer

24 working days of paid vacation
National holidays covered
Sick leave (up to 20/year)
Unpaid leave (up to 20/year)
Medical insurance
Multisport card OR Multikafeteria
Maternity & paternity leave support
Internal workshops & learning initiatives
Professional certifications reimbursement
Participation in professional local & global communities

Fulltime

Senior Data Scientist

Location

Ukraine

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong experience in machine learning, statistics, and applied data science
Experience with causal inference, experimentation, or decision science methodologies
Solid understanding of forecasting, optimization, or analytical modeling techniques
Strong programming skills in Python and SQL
Experience building and deploying production-ready data science or ML systems
Familiarity with model lifecycle management (training, deployment, monitoring)
Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP
Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)
Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)
Ability to translate business problems into analytical frameworks

Job Responsibility

Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
Build reusable modeling frameworks that can scale across multiple domains
Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
Translate observational and experimental data into actionable business insights
Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs)
Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows
Contribute to the development of intelligent agents and AI-assisted decision-making systems
Combine structured data models with unstructured data and GenAI outputs
Build forecasting models (time-series, probabilistic, causal) to support planning and operations

What we offer

Medical insurance
Sports reimbursement budget
Home office support
A number of free psychological and legal consultations
Maternity and paternity leave support
Internal workshops and learning initiatives
English language classes compensation
Professional certifications reimbursement
Participation in professional local and global communities
Growth Framework to manage expectations and define the steps to move towards the selected career

Fulltime

Senior Data Scientist

We are looking for an experienced Senior Data Scientist to drive advanced analyt...

Location

Portugal , Lisbon

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong experience in machine learning, statistics, and applied data science
Experience with causal inference, experimentation, or decision science methodologies
Solid understanding of forecasting, optimization, or analytical modeling techniques
Strong programming skills in Python and SQL
Experience building and deploying production-ready data science or ML systems
Familiarity with model lifecycle management (training, deployment, monitoring)
Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP
Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)
Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)
Ability to translate business problems into analytical frameworks

Job Responsibility

Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
Build reusable modeling frameworks that can scale across multiple domains
Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
Translate observational and experimental data into actionable business insights
Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs)
Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows
Contribute to the development of intelligent agents and AI-assisted decision-making systems
Combine structured data models with unstructured data and GenAI outputs
Build forecasting models (time-series, probabilistic, causal) to support planning and operations

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Senior Data Scientist

We are looking for an experienced Senior Data Scientist to drive advanced analyt...

Location

Bulgaria , Sofia

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong experience in machine learning, statistics, and applied data science
Experience with causal inference, experimentation, or decision science methodologies
Solid understanding of forecasting, optimization, or analytical modeling techniques
Strong programming skills in Python and SQL
Experience building and deploying production-ready data science or ML systems
Familiarity with model lifecycle management (training, deployment, monitoring)
Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP
Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)
Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)
Ability to translate business problems into analytical frameworks

Job Responsibility

Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
Build reusable modeling frameworks that can scale across multiple domains
Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
Translate observational and experimental data into actionable business insights
Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs)
Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows
Contribute to the development of intelligent agents and AI-assisted decision-making systems
Combine structured data models with unstructured data and GenAI outputs
Build forecasting models (time-series, probabilistic, causal) to support planning and operations

What we offer

Flexibility, with hybrid work options and 25 vacation days for a healthy work-life balance
Co-subsidized transportation & Multisport cards
Premium health insurance for fast and easy access to top healthcare services
Training policy for technical and other skills-related events, courses and certifications
Personal career development roadmap guided by performance evaluations
Self-care program offering psychological consultations & discussions for you and the team
Cozy office space designed for comfort and productivity
Exciting team events and company gatherings

Fulltime

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

We are seeking a seasoned and self-organizing Senior Data Scientist to join our ...

Location

Egypt , Cairo

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

BSc or MSc in Data Science, Engineering or a related field
Minimum 5 years of experience in data science roles, with a strong track record of delivering commercial analytics solutions (propensity modeling, forecasting, optimization)
Proven experience in owning projects end-to-end, from business understanding to deployment and impact measurement
Experience building scalable solutions that go beyond one-off analyses
People management experience of at least one year
Great communication skills and the ability to engage with both technical and business stakeholders
Proficiency in Python/Pyspark, SQL and ML libraries, and ideally certification in Databricks or Azure, as well as experience with PowerBI. Other cloud services are also acceptable
Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development
Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated
Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic

Job Responsibility

Lead the development and deployment of advanced analytics and traditional machine learning solutions, working hands-on, as proof-of-concept and in production environments
Act as a technical lead, guiding other data scientists while remaining hands-on in solution design and delivery
Own the end-to-end lifecycle of data science solutions, from problem definition to deployment and continuous improvement
Collaborate with cross-functional teams to translate analytical outputs into measurable business impact, influencing commercial decisions
Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications
Deliver scalable, maintainable solutions that support customer and business needs
Have opportunities for professional training and certifications as well as mentorship

What we offer

Development opportunities
Work with iconic brands
Supportive team

Fulltime

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Senior Data Scientist (hands-on & production focus)

Job Description

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