Senior Data Scientist

We’re looking for a Senior Data Scientist to lead the evolution of our scoring a...

Location

Australia , Sydney; Melbourne; Brisbane; Hobart

Salary:

Not provided

UpGuard

Expiration Date

Until further notice

Requirements

5+ years of experience applying quantitative methods, ideally within a high-growth company, with practical exposure to risk modelling and uncertainty analysis
Advanced analytics expertise: Proven track record in building complex statistical or actuarial models (e.g., 5+ years of experience in data science, AI, actuarial science, or similar)
AI/ML proficiency: Hands-on experience implementing machine learning approaches (regression, classification, ensemble methods, NLP, deep learning, etc.) in real-world applications
Strong statistical foundations: Deep understanding of regression analysis, probability theory, and inferential statistics to accurately model risk
Engineering background: Comfortable working with Go, Python and relational and columnar databases (we use Postgres and BigQuery)
Collaborative mindset: Excellent communication and stakeholder management skills to align with product managers, engineers, and other cross-functional teams
Leadership and ownership: Ability to define a vision, set clear objectives, and drive results in a fast-paced, dynamic environment

Job Responsibility

Own the design, evolution, and validation of UpGuard’s scoring algorithms across all surfaces - Vendor, Attack Surface, Breach, and User Risk
Develop statistical and ML models that translate raw security data into meaningful, calibrated scores
Measure and improve score accuracy, stability, and interpretability
Work with engineers to deploy and monitor models in production environments
Partner with PMs and designers to define success metrics and measure product outcomes
Conduct in-depth analyses of adoption, engagement, and retention to guide roadmap priorities
Build reusable datasets, dashboards, and frameworks for self-serve analytics
Establish best practices for experimentation and data-driven decision making across squads
Collaborate with squads building AI-powered features, from automated vendor assessments to breach intelligence and risk summarization
Prototype and evaluate new AI/ML techniques (including LLMs, embeddings, and anomaly detection)

What we offer

Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being
WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard
$1500 USD annual Learning & Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance
Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries
18 weeks paid Parental Leave: Irrespective of parenting role
Personal Leave Allowance: This includes sick & carer’s leave
Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance
Top-spec hardware: All team members will be provided with top-spec laptops for their role
Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work

Fulltime

Senior Data Scientist

As a Senior Data Scientist – Offer, you’ll play a key role in transforming how w...

Location

France , Aix-en-Provence

Salary:

Not provided

Voyage PrivÃ©

Expiration Date

Until further notice

Requirements

Master’s degree in Machine Learning or Data Science, with strong foundations in mathematics, statistics, and computer science
7+ years of experience as a Data Scientist or ML Engineer, ideally in a digital/tech environment
Strong expertise in Python and SQL, version control (GitLab/GitHub), and deploying ML models at scale
Advanced experience with cloud platforms (GCP preferred) and A/B testing frameworks
Excellent communication skills and ability to synthesize complex topics for diverse stakeholders
Autonomous, proactive, and eager to innovate and challenge existing approaches
Communicate well in English and French

Job Responsibility

Act as the go-to expert for AI within the “Offer” domain, understanding key business challenges and proposing new opportunities
Conduct research on cutting-edge algorithms, benchmark them, and apply the most suitable approaches to real-world use cases
Design and deploy at scale high-impact forecasting models to anticipate market demand and optimize supplier negotiations
Collaborate with Data Analysts to run and monitor A/B tests, enabling rapid iteration on new high-value features
Ensure models are accessible and reliable by embedding them into web applications and monitoring real-time performance
Contribute as a technical bar-raiser: uphold coding best practices, lead major code reviews, and introduce new workflows or tools
Strengthen team visibility through blog posts, demos, and participation in meetups or open-source projects

What we offer

Access our large on-site fitness center morning, noon, and night
Private padel court
Company Breaks, Carnival, Annual Convention, meetups and talks
Free tickets to every Provence Rugby home match and live music nights at the Dalida Institute
Up to 20% off our exclusive getaway offers
4 fully remote weeks per year

Fulltime

Senior Data Scientist - Value & Access

As the Data Scientist at Amgen, you will be responsible for developing and deplo...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree in computer science, statistics or STEM majors with a minimum of 5 years of Information Systems experience
Bachelor’s degree in computer science, statistics or STEM majors with a minimum of 7 years of Information Systems experience
Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
Experience with one or more analytic software tools or languages like R and Python
Strong foundation in machine learning algorithms and techniques
Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

Job Responsibility

Drive full lifecycle of Data Science projects delivery and ability to guide data scientists in shaping the developing the solution and act as a subject matter expert in solving development and commercial questions
Assume the role of business owner and manage the Proprietary AI engine built to optimize Copay
Support Amgen Gross to Net and other V&A Transformation initiatives
Ensure models are trained with the latest data and meet the SLA expectations
Manage AI tool’s road map, working with a global cross functional team
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information
Perform exploratory and targeted data analyses using descriptive statistics and other methods
Model/analytics experiment and development pipeline leveraging MLOps
Oversee efforts of 1-3 associates, including setting performance standards, managing their staffing, and monitoring performance

Senior Data Scientist - Value & Access

As the Data Scientist at Amgen, you will be responsible for developing and deplo...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree in computer science, statistics or STEM majors with a minimum of 5 years of Information Systems experience
Bachelor’s degree in computer science, statistics or STEM majors with a minimum of 7 years of Information Systems experience
Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
Experience with one or more analytic software tools or languages like R and Python
Strong foundation in machine learning algorithms and techniques
Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

Job Responsibility

Accountable to drive full lifecycle of Data Science projects delivery and ability to guide data scientists in shaping the developing the solution and act as a subject matter expert in solving development and commercial questions
Assume the role of business owner and manage the Proprietary AI engine built to optimize Copay
Support Amgen Gross to Net and other V&A Transformation initiatives
Ensure models are trained with the latest data and meet the SLA expectations
Manage AI tool’s road map, working with a global cross functional team
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information
Perform exploratory and targeted data analyses using descriptive statistics and other methods
Model/analytics experiment and development pipeline leveraging MLOps
Oversee efforts of 1-3 associates, including setting performance standards, managing their staffing, and monitoring performance

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...

Location

Poland , Warsaw

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
Strong foundation in computer science principes and statistical methods
Strong experience with cloud technology (AWS or Azure)
Strong experience with creation of data ingestion pipeline and ET process
Strong knowledge of big data tool such as Spark, Databricks and Python
Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
Strong knowledge of Natural language processing (NPL) concepts
Strong knowledge of scrum practices and agile mindset
Strong Analytical and Problem-Solving Skills with attention to data quality and accuracy

Job Responsibility

Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
Build and maintain feature stores, vector/embedding stores, and core data assets for ML
Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
Implement data quality checks, drift detection, and automated retraining processes
Optimise cost, latency, and performance across all AI/ML infrastructure
Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
Ensure AI/ML systems meet governance, security, and compliance requirements
Mentor teams and drive innovation across both agentic and classical ML engineering practices
Participate in team meetings and contribute to project planning and strategy discussions

What we offer

Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Pension: Awin offers access to an additional pension insurance to all employees in Germany
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...

Location

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
Strong foundation in computer science principes and statistical methods
Strong experience with cloud technology (AWS or Azure)
Strong experience with creation of data ingestion pipeline and ET process
Strong knowledge of big data tool such as Spark, Databricks and Python
Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
Strong knowledge of Natural language processing (NPL) concepts
Strong knowledge of scrum practices and agile mindset

Job Responsibility

Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
Build and maintain feature stores, vector/embedding stores, and core data assets for ML
Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
Implement data quality checks, drift detection, and automated retraining processes
Optimise cost, latency, and performance across all AI/ML infrastructure
Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
Ensure AI/ML systems meet governance, security, and compliance requirements
Mentor teams and drive innovation across both agentic and classical ML engineering practices
Participate in team meetings and contribute to project planning and strategy discussions

What we offer

Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Pension: Awin offers access to an additional pension insurance to all employees in Germany
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

Senior People Scientist

The Sr People Scientist is responsible for supplying to the development of an en...

Location

United States , Bellevue

Salary:

127700.00 - 230300.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree Quantitative Subject area (math, statistics, economics, computer science, physics, engineering)
Master's/Advanced Degree Quantitative Subject area (I-O Psychology
Behavioral Economics
Applied Social Psychology w/emphases on research science and advanced statistics)
Doctorate Quantitative Discipline (I-O Psychology
Behavioral Economics
Applied Social Psychology w/emphases on research science and advanced statistics)
7-10 years Research science or related experience
Proven experience with Gen AI for foundational models and LLM and demonstrating for analytics
4-7 years Combination of deep technical skills and business savvy to interface and influence all levels and fields

Job Responsibility

Support the vision and research science roadmap in collaboration with the HR leadership team and senior leadership partners
Collaborate in identifying and addressing large-scale, sophisticated business problems related to employee experience, talent, and organizational capability
Drive the development and integration of diverse and complex data sources for advanced and sophisticated qualitative and quantitative modeling
Contribute to maintaining high standards in research science, including supporting the mentoring and development of team members
Develop and implement network analytics, AI/ML, and Deep Learning models to analyze sophisticated datasets and support innovation in people science
Build and run true A/B and quasi-experimental designs to assess the impact of mechanisms, programs, and various tested solutions that align to the overall T-Mobile people strategy
evaluate research initiatives to provide bottom line value, return on investment and improvements
Translate technical research findings into clear, concise, and engaging reports that support decisions and applications across the employee lifecycle
Collaborate with multiple teams and account teams to influence, build consensus, and drive significant T-Mobile wide changes related to applying research science proposals and recommendations, including changes to programs, engineering and system needs, and people strategy roadmaps

What we offer

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Senior Research Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

Do you want a role with deep meaning and the ability to make a major impact? As ...

Location

United Kingdom , Edinburgh

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

Master's degree, or a PhD and experience in quantitative field research
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
5+ years of experience in applied selection research, job analysis, test development, and validation
Foundational skills in conducting experimental research studies and data analysis
Proficiency in scripting for data analysis (e.g., R, Python)

Job Responsibility

Partner on design and development of AI-powered systems to scale job analyses enterprise-wide
Match potential candidates to the jobs they’ll be most successful in
Conduct validation research for top-of-funnel AI-based evaluation tools
Develop and implement novel research strategies using the latest technology
Build solutions while experiencing Amazon’s customer-focused culture
Work with diverse groups of people and inter-disciplinary cross-functional teams to solve complex business problems

Senior Data Scientist - Data Foundations & AI

Plaid

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 05, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Senior Data Scientist - Data Foundations & AI

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Value & Access

Senior Data Scientist - Value & Access

Senior ML Data Engineer

Senior ML Data Engineer

Senior People Scientist

Senior Research Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

Senior Data Scientist - Data Foundations & AI

Plaid

Location:United States , San Francisco

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:March 05, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Senior Data Scientist - Data Foundations & AI

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Value & Access

Senior Data Scientist - Value & Access

Senior ML Data Engineer

Senior ML Data Engineer

Senior People Scientist

Senior Research Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
March 05, 2026