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Lead Data Scientist / VP
The Lead Data Scientist will work hands-on across the AI and analytics development lifecycle. The role will design analytical approaches, develop and validate models, build Generative AI and agentic workflows, and…
Post Doc - AI/ML and Optimization
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less…
Data Scientist - Security Data & AI Lab
End Date Friday 13 November 2026 Salary Range £48,987 - £54,430 We support flexible working – click here for more information on flexible working options Flexible Working Options Job Share Job Description Summary . Job…
Head of DS ML and AI Platform Engineering
Responsibilities: Data Science and AI Leadership: Build, scale, and mentor high-performing data science, machine learning, and AI teams, and support data engineering teams, establishing best practices across model…
Data Scientist - Security Data & AI Lab
End Date Friday 13 November 2026 Salary Range £48,987 - £54,430 We support flexible working – click here for more information on flexible working options Flexible Working Options Job Share Job Description Summary . Job…
2027 Summer Intern – Research and Development – Vehicle Aerodynamics and Machine Learning
Job Description The Role: As a 2027 Summer Intern on the Vehicle Aerodynamics and Machine Learning team, you will work at the intersection of physics-based vehicle simulation, computational fluid dynamics, scientific…
Global Financial Crimes Tech - Applied AI ML Director
We have an exciting and rewarding opportunity for you to take your ML engineering leadership career to the next level. We are building a next generation, AI-driven Global Financial Crimes Strategic Monitoring solutions…
Data Analytics Associate
You are a strategic thinker passionate about driving solutions in Financial Analytics, Reporting, Business Intelligence, Data Science (EDA and Modelling) and AI / Gen AI . You have found the right team. As a Financial…
Global Financial Crimes Tech - Applied AI ML Director
We have an exciting and rewarding opportunity for you to take your ML engineering leadership career to the next level. We are building a next generation, AI-driven Global Financial Crimes Strategic Monitoring solutions…
Data Analytics Associate
You are a strategic thinker passionate about driving solutions in Financial Analytics, Reporting, Business Intelligence, Data Science (EDA and Modelling) and AI / Gen AI . You have found the right team. As a Financial…
AI Engineer
This is an exciting opportunity to be part of a team that will be instrumental in crafting the future of how we do business, with the commercial customer at the center of everything we do. As the AI Engineer, you…
AI Engineer
This is an exciting opportunity to be part of a team that will be instrumental in crafting the future of how we do business, with the commercial customer at the center of everything we do. As the AI Engineer, you…
Machine Learning Engineer II ( Growth & ML), Hyderabad
Storytelling is, and will always be, the heart of what we do at Skydance. Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for…
2027 Intern Product Support – Data Scientist
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible…
Data Scientist
Position: Data Scientist Location: Bangalore (On-site) Experience: 2–3 Years Job Overview: We are looking for a Data Scientist with strong hands-on experience in Python, SQL, classical machine learning, and business…
Data Scientist - India
Data Scientist in Bangalore who designs, refines, and deploys machine learning and statistical models end-to-end — from data exploration to production — working with data engineers and business stakeholders. Core stack includes Python/R, ML libraries, cloud platforms, Docker/Kubernetes, and Snowflake/SQL.