Benefits:

• Flexible Time Off

• Health, Dental and Vision

• Work Life Balance

Benefits:

• Paid Internship with potential for full-time employment

• Flexible work hours

• Mentorship from experienced data scientists

• Hands-on experience working on real business problems

• Networking opportunities or team events

Education Requirements:

• Recent BE/B. Tech in any stream (Candidates from premier institutes like IIT/NIT preferred)

Other Requirements:

• Strong familiarity with machine learning techniques and algorithms

• Proficiency in Python

• Kaggle experience is a plus

Responsibilities:

• Apply data preparation techniques for machine learning

• Implement machine learning algorithms

• Validation of regression and classification models

Benefits:

• Competitive salary packages

• Comprehensive health benefits

• Flexible work options

• Generous time off

Education Requirements:

• Bachelor's or Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field

Experience Requirements:

• 5+ years of hands-on data science experience

Other Requirements:

• Fluent in Python, R, or similar languages

• Deep expertise with machine learning frameworks

• Knowledge of big data systems

• Ability to build production-ready data pipelines and models

• Excellent communication skills

Responsibilities:

• End-to-End Project Leadership

• Hands-On Development

• Cross-Functional Collaboration

• Innovation and Best Practices

• Strategic Influence

Benefits:

• Competitive salary package with performance-based bonuses

• Comprehensive health insurance coverage for you and your dependents

• Flexible working hours with Hybrid work arrangement

• Generous vacation and time off

• Continuous learning and professional development opportunities

Education Requirements:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field

Experience Requirements:

• 2+ years of experience in data analysis

Other Requirements:

• Proficiency in Python

• Expertise in SQL

• Experience with visualization tools

• Strong understanding of statistical techniques

Responsibilities:

• Oversee the data infrastructure that supports carrier allocation decisions

• Ensure the accuracy, completeness, and reliability of data pipelines and reporting systems

• Analyze data to validate hypotheses about carrier performance and allocation strategies

• Build and maintain dashboards

Education Requirements:

• MSc in a quantitative field (Computer Science, Statistics, Software/Information System Engineering or similar), specializing in Machine Learning

Experience Requirements:

• 2+ years of working experience as a data scientist

Other Requirements:

• Hands-on experience with Python development

• Strong knowledge with SQL/NoSQL databases

• Experience in deploying ML algorithms to production environments

• Deep understanding of machine learning models and statistical inference

• Great communication and interpersonal skills

• Experience with Recommender System, Reinforcement learning or AutoML will be an advantage

• Experience with one or more deep learning framework will be an advantage

Responsibilities:

• Be part of a data-science team where you will lead end-to-end ML projects.

• Take part in developing new cutting-edge algorithms based on various ML techniques

• Improve our ML pipeline

• Work in a short life-cycle research and development environment, while continually adjusting algorithms according to A/B testing feedback

• Work closely with the Product, Customer Success, BI, Dev and DevOps teams

Education Requirements:

• MSc/PhD in a quantitative field (Computer Science, Statistics, Software/Information System Engineering or similar), specializing in Machine Learning

Experience Requirements:

• 4+ years of working experience as a data scientist

Other Requirements:

• Strong knowledge with Python and ML data pipeline development for online production

• Strong knowledge with SQL/NoSQL databases

• Experience in deploying ML algorithms in an online production environment

• Great communication and interpersonal skills

• Experience in Recommender System, Auto ML or Reinforcement learning-based algorithms in production will be an advantage

• Experience with one or more deep learning framework will be an advantage

Responsibilities:

• Lead research and implementation of solutions for Roojoom’s core products using Data Science and cutting edge machine learning methodologies from various domains in unexplored territory.

• Design and implement Improvements of our ML pipeline and AutoML capabilities

• Work in a short life-cycle research and development environment, while continually adjusting algorithms according to A/B testing feedback

• Work closely with the Product, Customer Success, BI, Dev, and DevOps team.

• Convey complex analysis results clearly and with conviction to stakeholders and customers

Benefits:

• Flexible time off

• Health, dental, and vision insurance coverage (US only)

• Remote work

• Travel opportunities

Experience Requirements:

• 5-10 years P&C actuarial experience; commercial lines pricing experience is preferable

Other Requirements:

• Associateship/Fellowship in the Casualty Actuarial Society

• Exposure to a wide variety of P&C commercial lines insurance products

• Strong analytical and modeling skills

• Communicate and collaborate well with both technical and non-technical audiences

Responsibilities:

• Evaluate and price new MGA opportunities

• Work closely with existing Member MGAs

• Think creatively about how the actuarial function can better serve our Member MGAs at scale

• Stay abreast of industry trends

Benefits:

• Competitive salary

• Stock options

Education Requirements:

• Graduate degree (MPhil or PhD) in Computer Sciences, Computer Engineering, Mathematics, or related technical fields

Experience Requirements:

• Experienced in Natural Language Processing, Computer Vision or Speech Processing

• Experienced in Dialogue Systems both Task-Oriented and Chit-Chat using Neural Models

Other Requirements:

• Familiar with programming languages such as Python and advanced knowledge on deep learning frameworks such as Pytorch, Tensorflow or Jax

• Strong publication record in top conferences (ACL, EMNLP, NeurIPS, ICML, AAAI, IJCAI, Interspeech, ICASSP etc.)

• Excellent written and verbal technical communication skills in English

Responsibilities:

• Collaborate with other researchers and platform engineers to help invent, implement, and connect sophisticated algorithms

• Conduct research in Natural Language Processing (NLP) and Machine Learning (ML), preferably using Deep Learning

Benefits:

• Open-door culture

• Awards & recognition

• Team excursions

• Training & development

Experience Requirements:

• 2 - 4 years

Other Requirements:

• Experience of working in the US, Europe, Middle East, LATAM and APAC markets

• Experience of leveraging publicly available and 3rd party sources such as SEC filings, EDGAR, Crunchbase, Slintel, Factiva etc.

• MS Office (Word, PowerPoint, Excel)

• 1-4 years of experience in business research firms/corporate strategy or Market Intelligence function

Responsibilities:

• Research

• Project Execution/Management

• Client Communication

• Liaison with the Contify platform team

Benefits:

• Fully remote work environment

• Work from home budget

• Dedicated learning time and budget

• In-person Overstory team gatherings

Experience Requirements:

• At least 8 years of commercial experience as a Data Scientist or Machine Learning Engineer

• Advanced scientific Python experience, including numpy, scipy, scikit-learn, pandas

• Experience with geospatial or satellite data, and tooling such as gdal, rasterio, shapely, fiona, geopandas, QGIS

• Experience with deep learning algorithms, especially as applied to geospatial data, and tooling such as pytorch, tensorflow

• Experience leading small teams organized around projects or initiatives

Other Requirements:

• Passionate about climate

• Enjoy working in a remote first, fast-moving environment.

• You are based in the GMT/ CET time zone. Open to US ET for those that are able to have significant overlap with GMT/ CET working hours

Responsibilities:

• Develop new vegetation intelligence products using standard geospatial Python libraries, as well as machine learning and deep learning tools

• Support existing products through data exploration, model improvements, and bugfixes, especially using QGIS, Dagster, Sentry, and Grafana

• Represent the team by leading projects and initiatives, being responsible for planning, execution, delivery, and ensuring the value of our contributions is clear to other stakeholders throughout the organization

• Build the tooling and processes necessary to measure the value and performance of our contributions, and help to make data-driven decisions about where we can have the greatest impact

Benefits:

• Fully remote work environment

• Work from home budget

• Dedicated learning time and budget

• In-person Overstory team gatherings

Experience Requirements:

• At least 5 years of commercial experience as a Data Scientist or Machine Learning Engineer, with deep data science skills and experience at early-stage or remote-first organizations

• Intermediate-level technical skills, especially with modern tech stacks including Python and its scientific libraries, Jupyter ecosystem, GCS or other cloud platforms, and best practices with code management and infrastructure

• Experience taking products from 0-1 with supporting product team, comfortable iterating on prototypes and using low-cost mocks and visualizations to develop ideas

• Advocate for products which account for and communicate probabilities or uncertainty, helping to build confidence with stakeholders

Other Requirements:

• Passionate about climate

• You are based in the GMT/ CET time zone. Open to US ET for those that are able to have significant overlap with GMT/ CET working hours

Responsibilities:

• Develop new wildfire risk and resilience projects using machine learning, deep learning, or wildfire models.

• Provide scientific and wildfire domain expertise to help guide successful product development.

• Support and grow the scientific community within Overstory

Other Requirements:

• Thorough understanding of Machine Learning fundamentals

• Experience building deep-net models

• Experience with PyTorch or TensorFlow

• Excellent problem-solving ability

• Understand cutting-edge algorithm developments and communicate with the rest of the team

• Thorough knowledge of Python

• Experience with NLP technologies and models

• Experience with OCR technologies

• An understanding of Adversarial models

• Experience with multi-threading bonus if it’s in Python

• Experience with cloud infrastructures, AWS, Azure, or G-cloud

• Relevant publications in highly recognized conferences/journals

• Good standing in various recognized competitions

• Having the design mentality of less is best

• A Love for learning and an intense curiosity

Responsibilities:

• Own the end-to-end solution to automate workflows involving intelligent document processing

• Research and develop the right ML/AI models to solve business problems

• Implement solutions and guide the deployment

• Guide the data engineering team on collecting training data

• Guide development of exception handling to provide an end-to-end solution

Benefits:

• Working in a team with extraordinary scientists and business professionals with proven track records

• Working in a varied environment: balancing between the market requirements and science

• Working with our innovative enterprise customers

• Be part of bringing state-of-the-art technology to an emerging market

• Focus on your personal development, both professionally and individually

Education Requirements:

• You have computer science and artificial intelligence knowledge at the MSc level

Experience Requirements:

• You have experience in machine learning and general programming, specifically Python

• Experience with machine learning libraries, preferably PyTorch

• Familiarity with deep generative models

Other Requirements:

• You are self-sufficient and an individual contributor

• You can adapt to our product vision and technology quickly

• You can bring innovation to the team and the product from a technical perspective

• You have a start-up and can-do mentality

• You are pragmatic and flexible, and a communicator

Responsibilities:

• translating new research into a product that solves real-world problems

• implementing new models

• designing data encoding schemes

• running experiments

• deploying optimised inference pipelines and packaging everything in a working project

Benefits:

• Competitive salary and equity

• MacBook Pro, 5K display, and accessories

• Company-paid co-working space

• Work remotely

Experience Requirements:

• 5+ years of experience

Responsibilities:

• Help build httpie.ai

Experience Requirements:

• Strong analytical skills

• Ability to synthesize large volumes of data

• Experience with quantitative and qualitative data analysis methods

• Excellent communication and presentation skills

Responsibilities:

• Supporting senior leadership on research projects

• Meeting client needs across topics such as misinformation, climate, public health and international democracy

• Synthesizing large volumes of data and information into actionable insights and recommendations

• Analyzing and communicating complex information in concise and digestible formats

Benefits:

• Remote work options

• Hybrid work options

• Learning development opportunities

• Unlimited annual leave

Education Requirements:

• Engineering, mathematics, computer science, or any other STEM related degree (Honours level)

• Graduated with distinction

• Masters degree is advantageous

Experience Requirements:

• 1+ year experience in a client facing role presenting analytics to business teams

• 1+ year experience performing analytics, generating findings and implementing improvements

Responsibilities:

• Working with data engineering and data science teams on technical and strategic planning and execution of department goals

• Perform detailed analysis on microfinance data for the generation of business level recommendations

• Presentation of analysis and recommendations to executive teams

• Implementation of recommendations and evaluation of their performance

• Designing, building and deployment of machine learning models and statistical optimisations in the financial industry

Benefits:

• Remote work options

• Hybrid work options

• Learning development opportunities

• Unlimited annual leave

Education Requirements:

• Engineering, mathematics, computer science, or any other STEM related degree (Honours level)

• Graduated with distinction

• Masters degree is advantageous

Experience Requirements:

• 3+ year experience in a client facing role presenting analytics to business teams

• 3+ year experience performing analytics, generating findings and implementing improvements

Responsibilities:

• Working with data engineering and data science teams on technical and strategic planning and execution of department goals

• Perform detailed analysis on microfinance data for the generation of business level recommendations

• Presentation of analysis and recommendations to executive teams

• Implementation of recommendations and evaluation of their performance

• Designing, building and deployment of machine learning models and statistical optimizations in the financial industry

Benefits:

• Opportunity to work in Sports and Events industry

• Complex problems to solve

• Experienced international team

Experience Requirements:

• Professional and/or academic experience in machine learning

Other Requirements:

• Experience manipulating and analyzing large datasets

• Work alongside the Product Team

• Identify and lead initiatives for AI capabilities

• Experience in visualization and interactive displays of data

• Good interpersonal and presentation skills

Responsibilities:

• Deploy models and algorithms

• Manipulate and analyze datasets

• Define new features

• Identify and lead AI initiatives

• Create data visualizations

Benefits:

• Unusual, socially conscious projects

• Little bureaucracy

• Travel to exotic places around the world

Experience Requirements:

• +3 years of experience in machine learning, preferably in computer vision

• Respectable track record in competitive data modeling, and/or notable research achievements.

• Well-versed with the latest trends with top-performing tools and the ML research community.

• Strong fluency in both Python and in the main AI-related tools of the trade

• Strong skills in logical reasoning and critical thinking, and the confidence to both express it and also receive constructive feedback through daily code review

Other Requirements:

• Non-superficial intuitions about AI, beyond "`import blackbox`"

• Highly preferred full-time employment of at least 40 hours per week. Promising students with exceptional skills should contribute at least 24 hrs/week.

• Good fluency in English speaking and writing (typing > 35 wpm).

• Critical thinking skills, expressiveness, and team-oriented attitude.

• And you have to care about the work that you do!

Responsibilities:

• State-of-the-art optical character recognition of handwriting in health information systems

• Computer vision for object detection, segmentation, and video processing for medical applications

• Classification of land usage from satellite imagery, to assist governments with food security