Senior Data Scientist Job at Lime

Senior Data Scientist

In this role, you will be the architectural force behind the algorithms that pow...

Location

Canada , Calgary

Salary:

Not provided

Randstad

Expiration Date

August 06, 2026

Requirements

Advanced, progressive experience in Data Science, Predictive Modeling, or Advanced Mathematical Analytics within an enterprise environment
Proven track record of taking algorithms from prototype to production deployment using agile/MVP release cycles
Demonstrated experience leading or heavily contributing to the rollout of Big Data capabilities and analytical frameworks
Expert-level understanding of statistical concepts, mathematical modeling, and algorithmic design
Strong proficiency in data science programming ecosystems (e.g., Python, R) and data manipulation languages (SQL)
Deep understanding of feature engineering, data structures, and pipeline infrastructure
Advanced capability in data visualization and data storytelling tools (e.g., Power BI, Tableau, or open-source visualization libraries)

Job Responsibility

Design, create, test, and implement advanced statistical and machine learning models to drive analytical products throughout the organization
Utilize advanced data science techniques to identify hidden data patterns, system anomalies, and strategic optimization opportunities
Conduct rigorous statistical and mathematical analysis to back up core product decisions and algorithmic frameworks
Partner closely with Data Engineers and domain Subject Matter Experts (SMEs) to deeply understand raw data sources
Design and build engineered features that directly improve model accuracy, performance, and scalability
Guide the technical design of data pipelines to ensure they cleanly support advanced analytical workflows
Provide advanced subject matter expertise on complex statistical and mathematical concepts for the broader Data and Analytics department
Inspire, champion, and accelerate the adoption of advanced data science methodologies across the entire corporate ecosystem
Collaborate with cross-functional product teams to deliver scalable and sustainable data products using a phased MVP approach
Interpret, translate, and communicate complex analytical findings and mathematical concepts to non-technical business stakeholders through high-quality data visualizations

What we offer

Enterprise-Wide Influence
High-Impact Product Delivery
End-to-End Collaboration
Innovation-Driven Track

New

Senior Data Scientist

Microsoft is a company where passionate innovators come to collaborate, envision...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience
equivalent experience

Job Responsibility

Partners cross-functionally to identify and pursue opportunities for applying machine learning and other data-science methods to quota and incentive design
Bridges Finance, Sales, Business Sales Operations, and Product teams through deep technical expertise
Educates field managers and sales leaders on quota methodology, data inputs, and model mechanics
Demonstrate strong business acumen by aligning data science initiatives with strategic goals
Leverage an understanding of incentive compensation design, levers, operations, payout administration, governance, compliance and support delivery vehicles
Collaborate with business teams to frame analytical questions, define hypotheses, and design experiments
Engage with stakeholders to review concepts for solutions using data-driven insights
Translate business context into analytical frameworks
Design, develop, and implement scalable methods, processes, and systems to consolidate and analyze large, diverse datasets
Build and maintain data pipelines and automated processes

Fulltime

New

Senior Data Scientist

Being part of the founding team, you will have the opportunity to shape the futu...

Location

India , Bengaluru

Salary:

25000.00 - 40000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

3+ years of hands-on experience in data science, with a focus on Big Data Exploration, Summarization, and ML Deployment
Successfully delivered at least one product or pivotal feature, actively involved in business problem identification, researching, sourcing necessary data, and constructing data pipelines
Strong grasp of end-to-end data science practices, encompassing data cleaning, exploratory data analysis (EDA), feature engineering, model training, testing, and deployment using ML libraries and frameworks in Python
Adept at utilizing SQL for comprehensive analysis

Job Responsibility

Build novel predictive models on real-time data streams
Develop and deploy machine learning models at scale, navigating the challenges presented by large and complex datasets
Actively assist in building systems to continuously track model performance, ensuring models remain effective in dynamic environments
Communicate findings and insights to technical and non-technical stakeholders
Implement effective debugging tools and practices to diagnose and address performance issues or unexpected behaviors
Maintain up-to-date documentation on model maintenance procedures, troubleshooting guides, and best practices

Fulltime

New

Senior Data Scientist

The Senior Data Scientist is a hands-on technical role responsible for designing...

Location

United Kingdom , Chester

Salary:

70000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on data science and ML experience, with the ability to design end-to-end models, write production-quality code, and make independent modelling and architecture decisions
Advanced Python and SQL, including pandas, scikit-learn, and XGBoost/LightGBM
Experience in at least two of the following: forecasting, segmentation, recommender systems, ranking, or behavioural modelling
Proven delivery of ML projects end to end, from problem framing and exploratory analysis to production deployment
Ability to translate business problems into well-scoped data science solutions, prioritising commercial impact over technical novelty
Strong communicator, able to explain models and insights to non-technical stakeholders across product, commercial, and engineering teams
Experience deploying and maintaining models (monitoring, retraining, MLOps)
Familiar with modern tooling (cloud ML, experiment tracking, feature stores) and scalable engineering practices

Job Responsibility

Build & Deliver Impactful Solution: Design, build, and ship machine learning models that address real commercial problems, taking ownership of the work from initial framing through to a validated solution in production
Work closely with product, commercial, and engineering colleagues to scope problems well, contributing technical input early so the team commits to work that is both feasible and valuable
Translate business challenges into clear data science work, defining scope, success measures, and trade-offs in plain language
Contribute to where data science can add the most value next - pricing, personalisation, forecasting, owner and guest experience, and bring strong ideas to how those problems are approached
Collaborate & Lead Technically: Act as a senior technical contributor, setting a high bar for code quality and modelling rigour to help shape how the team approaches its work
Communicate your work clearly: write up model behaviour and results, present in roadmap and review forums, and keep colleagues informed and confident in what the team is delivering
Mentor less experienced data scientists through code review, pairing, and technical guidance, and act as a trusted point of contact for product, engineering, and commercial colleagues working with the team
Run Reliable Models in Production: Keep the models you build running reliably in production: set up monitoring, alerting, and drift detection, track performance, and manage the retraining cadence that keeps them healthy
Work to and help uphold the team’s standards for code review, model documentation, reproducibility, testing, and deployment, so quality stays consistent across the function
Work with data engineering and platform teams on MLOps tooling and infrastructure, and help respond to incidents affecting live models

What we offer

Annual bonus scheme based on company performance
33 days’ holiday (including bank holidays), plus up to 5 extra with long service
Option to purchase extra holiday days if you wish
A day off for your birthday
2 volunteering days per year
Enhanced parental leave (24 weeks maternity, 3 weeks paternity at full pay)
Pension scheme with employer contributions
Discounted and last-minute stays at Forest Holidays and Sykes Cottages for you, your friends & family
Special offers and discounts designed to enhance your overall wellbeing
Health cash plan & life assurance

Fulltime

Senior Data Scientist

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

Location

Kosovo

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

Health insurance that guarantees fast access to contracted health services
Vacation Plan
Subsidy for study materials, trainings, conferences and events that will contribute to your development
Hybrid Working model
Performance Evaluation Process that paves the roadmap for a personal and professional career development
Refreshments and fruit in the office
Team gatherings and parties organized and subsidized by the company

Fulltime

Senior Data Scientist

We are seeking an exceptional Data Scientist to join our dynamic Data Science te...

Location

India , Gurgaon

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

Minimum 8+ years of progressive experience in AI/Data Science
At least 5+ years of hands-on experience in building AI/ML models for Financial domain
Proven track record of design and delivering production-grade AI/ML projects in enterprise environments for finance
Experience working with large-scale financial transactional datasets and ERP systems (SAP, Oracle, Workday etc)
Demonstrated success in cross-functional collaboration with Finance, IT, and Business teams
Hands-on experience in designing and deploying forecasting (Statistical and ML based) applied to financial metrics
Proven experience in designing and deploying production-ready solutions powered by Large Language Models (LLMs)
Experience in enterprise grade implementation of cutting edge Agentic AI solution
Programming Languages: Python (NumPy, Pandas, Scikit-learn), SQL (advanced proficiency required)
Machine Learning: Regression, Classification, Forecasting, Clustering, Ensemble Methods

Job Responsibility

Design, develop, and deploy advanced machine learning models to forecast key business KPIs including expense allocation and cash flow management
Build automated business process optimization model and reporting systems using AI
Design variance analysis frameworks to identify key drivers of financial performance
Conduct scenario analysis and sensitivity modelling for strategic initiatives
Present findings and recommendations to senior leadership and stakeholders
Establish data quality standards and governance frameworks for financial analytics
Drive innovation by evaluating and implementing emerging AI/data science technologies

What we offer

Paid Time Off
Employee Heath & Well-Being Benefits
Continuing Education/ Professional Development
Support for Parents
Employee Assistance Program
Competitive salary package commensurate with experience and market standards
Comprehensive health insurance coverage for self and dependents
Clear career progression path with regular performance reviews
Mentorship from senior leaders and exposure to global projects
Collaborative and inclusive culture that values innovation and diversity

Fulltime

Senior Data Scientist

The Industry Solutions Engineering (ISE) team is a global engineering organizati...

Location

Netherlands , Schiphol

Salary:

78800.00 - 133300.00 EUR / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's OR Master's OR Doctorate Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
Demonstrated experience or a strong interest in working in customer-facing environments
Comfortable with a travel requirement of approximately 25%

Job Responsibility

Acquire the data necessary for your project plan and develop usable data sets for modeling
Update internal best practices for data collection and preparation and contribute to data integrity conversations with customers
Evaluate your team's models using metrics tied to genuine business outcomes and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale
Conduct thorough reviews of data analysis and modeling techniques and identify and invent new evaluation methods
Research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices
Write extensible code that spans multiple features and develop expertise in proper debugging techniques
Define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities
Apply a customer-oriented focus to understand their needs and help drive realistic customer expectations
Embody our culture and values

What we offer

Wide range of benefits built around your personal needs
Health, wellness, and financial future investment

Fulltime

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

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