Senior Associate, Data Scientist

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 Engineer

We are seeking an experienced Senior ML to join our team and engage in a diverse...

Location

United Kingdom , Bath

Salary:

Not provided

BMT

Expiration Date

Until further notice

Requirements

Be a UK sole national
Have held no other nationality at any time
Have continuously resided in the United Kingdom for the past five years
Be able to obtain and maintain full UK security clearance in accordance with government vetting standards
Provide satisfactory evidence of identity, nationality, and residency as part of the clearance process
Capability to design and implement end‑to‑end ML pipelines
Ability to select, train, and tune models (classical ML and deep learning) using frameworks such as PyTorch, TensorFlow, or scikit‑learn
Experience containerising and deploying models (e.g., Docker), implement CI/CD, monitoring, drift detection, and automated retraining on Azure/AWS/GCP as appropriate
Demonstrated capability to work with data engineers to ensure high‑quality datasets, versioning, lineage, and governance
Capable of pairing with data scientists and software engineers, review code, and share best practices

Job Responsibility

Design, build, and deployment of machine‑learning systems, applying robust software engineering practices and an in‑depth understanding of model behaviour, performance, and limitations
Select, prepare, and pipeline data for model training and inference. Implements, trains, evaluates, and optimises machine‑learning models, continually improving them through iterative experimentation and additional data
Create scalable and automated ML pipelines, including feature extraction, model training, validation, packaging, deployment, and monitoring
Design and implement dashboards, diagnostics, and evaluation tooling to ensure transparency, performance tracking, and operational reliability across the ML lifecycle
Within defined delivery goals, refines prototype models into production‑ready components, contributing to development, optimisation, demonstration, and integration activities
Apply standardised engineering and evaluation methods, producing clear technical documentation and communicating design choices, performance outcomes, and limitations
Contribute to internal knowledge bases and participates in professional ML engineering communities
Ensure responsible handling of data throughout the ML lifecycle, including secure storage, access control, data lineage, versioning, and quality checks
Evaluate data integrity and suitability for ML workflows, and advises on transformations, feature representation, and schemas needed for efficient training and inference
Implement metadata standards, reproducible data pipelines, and automated validation procedures to maintain trustworthy data assets

What we offer

Private Medical (family coverage)
Enhanced Pension
18 weeks enhanced maternity pay (after a qualifying period of 1 year)
Family friendly policies
Committed to an inclusive culture
Wellbeing Fund – an annual fund for personal hobbies or interests
26 Days Annual Leave (plus bank holidays)
Holiday Trading
Retail Vouchers
Professional Subscriptions

Fulltime

Senior Associate, Product Management - Machine Learning and AI

Senior Associate, Product Management - Machine Learning and AI. Product Manageme...

Location

United States , McLean; Charlotte; Richmond

Salary:

101100.00 - 126900.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s degree or military experience
At least 1 year of product management experience or at least 1 year of experience in product design, agile delivery, business analysis, data science, or software engineering

Job Responsibility

Lead the development of our next generation of GenAI products
Guide the product development teams, and ensure the alignment of product features with strategic business goals
Oversee the planning, execution, and delivery of artificial intelligence products within Commercial Bank
Collaborate with engineers and data scientists to define product specifications
Work with marketing, ops, risk, lending, sales teams to ensure the products resonate with the market
Conduct market analysis to identify trends and opportunities for AI applications, techniques
Manage the product roadmap, prioritize features, and make strategic decisions to balance business goals with technological & AI capabilities
Work with stakeholders across different lines of business including Commercial Real Estate, Corporate Bank, Capital Markets, Treasury Management, etc. to understand user needs, gaps, and opportunities
Leverage a design thinking approach to understand user personas and journey to drive problem solving
Develop a short to medium-term roadmap for the product based on problems, gaps, and opportunities

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

New

Senior Software Engineer

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

Location

United States , Multiple Locations

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
4+ years of experience in cloud development principles and patterns, particularly loosely coupled architectures, micro-services and DevOps model
4+ years of experience coding in C#, and .Net
4+ years of experience in Database development in Azure SQL, Cosmos DB, or Azure Data Factory (ADF)
4+ years of experience in one of the modern front-end frameworks such as React, Type Script, and Experience with Python, AI/LLM-based tools and frameworks, particularly for analyzing test failures and predicting root causes
Experience in developing applications using RESTful APIs, microservices architecture, ASP.NET, Web API, and Azure AI Foundry, with a focus on scalable and intelligent enterprise solutions
Knowledge of data structures, algorithms, and software design principles
Effective communication and a track record of sharing knowledge with others through training and knowledge sharing sessions
Experience optimizing cloud infrastructure for cost savings and operational efficiency

Job Responsibility

Develop software features for Skilling platforms, including requirement gathering, architecture, application and database design, development, testing, and deployment, while enforcing engineering proficient practices to ensure high-quality, scalable, and secure solutions
Leverage AI and develop Copilot features within the application to enhance user experience and productivity
Establish and enforce proficient practices in coding, testing, and documentation to ensure high standards for code quality, performance, and service reliability
Support and maintain existing services & integrations with Line of Business (LOB) applications across the enterprise
Design, develop and maintain engineering infrastructure, tools, and services that power the Continuous Integration and Continuous Delivery/Deployment (CI/CD) for Microsoft Learning (Skilling) platform and services
Improve the reliability and debuggability of test frameworks by integrating automation and gates
Develop and utilize AI/LLM models to analyze test failures, identifying root causes such as test flakiness or infrastructure issues
Transition manual testing efforts currently handled by vendor Directly Responsible Individuals (DRIs) into automated processes
Lead early in career Software Engineers, and collaborates with Product Managers, Designers and cross-functional teams to deliver high quality security solutions across platforms that ship to hundreds of millions of learners around the world
Leads by example within the team by producing extensible and maintainable

Fulltime

Sr Manager GTN Innovation

As a Senior Manager – V&A Insights, you will be responsible for leading team to ...

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 8 years of Information Systems experience
Bachelor’s degree in computer science, statistics or STEM majors with a minimum of 10 years of Information Systems experience
Strong 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

Job Responsibility

Provide oversight to a team of Managers, Business analysts, data scientists and engineers on developing and deploying AI solutions
Assume the role of business owner and manage the Proprietary AI algorithms built to support Copay, Patient support, Gross to Net programs and other aspects of US value and access ecosystem
Identify Opportunity areas within US commercial organizations to leverage AI/ML into driving revenue and optimization
Cross Collaborate with US Commercial and Technology functions for expansion and continued Optimization
Accountable to drive full lifecycle of Data Science projects delivery and ability to guide data scientists in shaping the developing solutions and act as a subject matter expert in solving development and commercial questions
Own the end-to-end AI Product roadmap: from performance tracking and Strategic design recommendations using predictive modeling and opportunity sizing
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Summarize and Present insights to Cross functional executive leadership
Oversee a team of 8-10 Data scientists including managers and senior associates, including setting performance standards, managing their staffing, and monitoring performance
Lead Development and integration custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency

Data is at the center of everything we do. As a startup, we disrupted the credit...

Location

United States , McLean

Salary:

135600.00 - 154800.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
Experience working with AWS
At least 2 years’ experience in Python
At least 2 years’ experience with machine learning
At least 2 years’ experience with SQL
At least 1 year experience with relational databases such as Snowflake
At least 1 year experience with AI/ML tools and ecosystems such as Hugging Face, VectorDBs or Pytorch/TensorFlow

Job Responsibility

Support development of natural language processing and machine learning models through all phases, from design through training, evaluation, validation, and implementation
Apply expertise in using open source large language models (LLMs) through prompt engineering, retrieval-augmented generation (RAG) and evaluation metric frameworks for business specific applications
Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver industry leading HR tools and AI-powered products
Leverage a broad stack of technologies — Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, Pytorch/TensorFlow, and more — to reveal the insights hidden within large volumes of numeric and textual data
Flex your interpersonal skills to collaborate with internal stakeholders, translating complex data science work into tangible, aligned business outcomes

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

New

Data Scientist, Business Analytics and Industrial Engineering

Software Resources has an immediate, contract job opportunity for a Data Scienti...

Location

United States , Orlando

Salary:

Not provided

Software Resources

Expiration Date

Until further notice

Requirements

Must have proficiency with data mining, mathematics, machine learning, and statistical analysis
Must have experience and proficiency using machine learning platforms (e.g., AzureML), process automation platforms (e.g., MS Power Automate, etc.), application development platform (e.g., Power Apps, etc.), data querying and scripting/programming tools (e.g., SQL, Python, etc.), business intelligence/data visualization software tools (e.g., Power BI, Tableau, etc.), and statistical modeling software applications (e.g., R, etc.)
Proven strong PC skills including spreadsheets, databases, and presentation graphics software
Demonstrated leadership ability and/or previous managerial experience
Strong coaching/mentoring skills and Leadership experience in continuous improvement
Strong critical thinking and creative problem solving skills
Demonstrated superior conceptual thinking skills and the ability to work through complex problems
Capable of communicating and expressing ideas clearly and concisely, in both written and oral formats
Strong communication skills with the ability to convey complex findings to both technical and non-technical stakeholders
Ability to work collaboratively in a team environment, work in a fast-paced environment and under changing conditions

Job Responsibility

Formulate and apply advanced analytical approaches, such as causal and time series forecasting modeling, econometric methods, machine learning modeling, mathematical optimization, for complex analyses, predictions and problem-solving
Perform data and error analysis to improve models
Assist in collecting, cleaning, and organizing data
Analyze large structured and unstructured datasets to identify trends, patterns, and insights
Identify causes of variability, test new features, and integrate into code
Use business intelligence tools to create and maintain clear and compelling reporting and visualizations to communicate complex findings to technical and non-technical stakeholders
Explore new, state-of-the-art analytical tools, methodologies, and technology that can be leveraged by our team
Lead and manage interns, co-ops, Analysts, Engineers and/or Associate Data Scientists
Develop analytical and predictive models and solutions for any and all operating divisions within Destinations & Experiences (UDX) to support key decisions

What we offer

Medical, dental, and vision coverage
401(k) with company match
Short-term disability
Life insurance with AD&D

Fulltime

Senior Associate, Data Scientist - AI Software Engineering

Capital One

Location:
United States , McLean ▼
New York
San Jose

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 21, 2026

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