Referso Jobs

Data collection, data analysis, model development, defining quality metrics, quality assessment of models and regular presentations to stakeholders.
Creating production-ready Python packages for each component of data science pipelines and their deployment together with software engineering team.
Optimizing and customizing Retrieval Augmented Generation (RAG) pipelines to meet specific project requirements that involve content ingestion, machine translation, and contextualized information retrieval.
Ingesting, preprocessing, and transforming large-scale multilingual data to ensure high-quality inputs for downstream models.
Building AI agentic models integrated with RAG pipelines.

Requirements

Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.

Skills

Python Natural Language Processing Machine Learning

UIUC Research Park Intern - ML AI Motor Controls Algorithm

Rivian Automotive · Posted Nov 6, 2026

Open

Champaign, Illinois, United States
On-site
Internship · Intern
$25–$40 per hour

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In this role, you will help develop an integrated analytical workflow that leverages Cloud infrastructure and Large Language Models (LLMs), alongside traditional machine learning, to derive actionable insights from complex vehicle data.

Compensation

The salary range for this role is $25.00-40.00/hr for Illinois based applicants.

Responsibilities

Design and implement robust Python-based tools to parse, decode, and extract features from automotive PCAP logs.
Apply advanced signal-processing techniques to transform vehicle data and perform large-scale analysis of corner cases of interest.
Research, develop, and train machine learning models (e.g., Decision Trees, Random Forests, Neural Networks) for prediction, detection, and classification tasks.
Architect the end-to-end workflow that processes raw vehicle logs, performs automated analysis, and prepares data for model training.
Create easy-to-understand dashboards for the general audience, focusing clearly on outcomes to support decision making.

Requirements

Must be currently pursuing a masters or PhD degree at the University of Illinois Urbana Champaign (PhD preferred)
Computer Science
Computer Engineering
Electrical Engineering
Physics

Skills

AI practices LLM

Machine Learning Engineer

ADP · Posted Nov 5, 2026

Open

Alpharetta, Georgia, United States
2+ years

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Design and build next-generation AI and machine learning solutions for ADP’s payroll and HR products.

Responsibilities

Build analytical insights to enable payroll practitioners and supervisors to make data-driven decisions
Build and deploy Generative AI solutions and machine learning models to solve real-world business problems
Collaborate with computer scientists, data scientists, and machine learning engineers
Drive performance involvement and digital transformation of services

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related field

Skills

Python Software Development Life Cycle (SDLC)Version Control Problem Solving Text and Data Mining (TDM)Optimization GLM/Regression

Internship offer: Spatial drivers of atmospheric NH3 in north-west Europe based on long-term observations

Institut Mines-Télécom · Posted Nov 5, 2026

Open

Douai, Hauts-de-France, France
On-site
Part-time · Intern

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M2 internship aims to develop a machine-learning analysis framework to understand the driving mechanisms controlling atmospheric NH3 concentrations in north-west Europe using a combination of in-situ ground-level and satellite data.

Compensation

Research internship – 6 months

Responsibilities

Literature review: Investigate existing statistical modelling and machine-learning methods
Exploratory data analysis: Characterize available datasets
Methodological development: Process and implement the modelling framework, select relevant features, implement and optimize machine-learning models
Interpretation and visualization: map results, policy implications

Requirements

Master 2 students in atmospheric physics
atmospheric chemistry
environmental sciences

Skills

English data science machine-learning random forests gradient boosting machine-learning models

Senior Data Scientist

Penske Careers · Posted Sep 14, 2026

Open

Reading, Pennsylvania, United States
On-site
Full-time · Senior
6+ years

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The Senior Data Scientist is responsible for transforming complex data into business value through advanced analytics, artificial intelligence (AI), and machine learning (ML). This role leads the design, development, and deployment of scalable analytical solutions that solve high-impact business problems and enable data-driven decision-making.

Responsibilities

Identify source data and build data models to solve complex business problems.
Extract, transform, and prepare structured and unstructured data.
Collaborate with IT to build scalable data pipelines and analytical datasets for modeling and analytics.
Clean, validate, and monitor data quality.
Perform feature engineering and exploratory data analysis.

Requirements

Bachelor's degree required
Engineering
Data Science
Computer Science
Statistics

Skills

Python R SQL Dataiku AWS Oracle logistic regression

Senior Analytic Scientist

FICO · Posted Nov 2, 2026

Open

Novato, California, United States
Hybrid
Full-time · Senior
$140K–$220K per year

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The Senior Analytic Scientist will build high-end analytic models and tools for credit risk space, overseeing project teams and using statistical modeling and computational algorithms.

Compensation

The targeted base pay range for this role is: $140,000 to $220,000

Responsibilities

Work with large amounts of real-world data and ensure data quality throughout all stages of acquisition and processing, including data collection, normalization and transformation.
Research and select appropriate statistical methods and computational algorithms.
Oversee project teams building high-end analytic models and tools for relevant problems.
Manage projects under time constraints, working with other teams within FICO to provide high quality support to enable integration and deployment of analytics software and solutions.
Assist with model go-lives by performing production data validations and analysis of models in production.

Requirements

Bachelor's Degree in Computer Science
Cognitive Science
Engineering
Physics
Statistics

Skills

U.S. Credit Bureau data neural networks logistic regression

Manager, Audience Analytics

Omnicom Media US · Posted Nov 3, 2026

Open

New York, New York, United States
On-site
$90K–$110K per year
4+ years

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Lead audience analytics and activation for Omnicom Media’s clients, managing data curation, segmentation, and measurement across addressable media channels.

Compensation

90K - 110K

Responsibilities

Develop deep understanding of client industry and strategy
Assess client audience needs and create activation strategies
Serve as strategic partner aligning audience analytics with business goals
Provide analytic insights for custom audience creation
Oversee use of multiple data sources within proprietary platforms

Requirements

Bachelor's degree in media/marketing or related field

Skills

Audience planning and activation in addressable platforms Experience with LiveRamp Experience with Adobe SQL Relational databases Statistical techniques

TTT - Data Scientist - Tax Senior

EY · Posted Nov 3, 2026

Open

Bengaluru, Karnataka, India
On-site
Full-time · Senior
5+ years

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Senior Data Scientist within the Tax Technology practice focused on developing and implementing AI/ML solutions for global tax-related challenges.

Responsibilities

Apply machine learning techniques to deliver actionable insights
Own end-to-end model development in Python, including data exploration, feature engineering, training, validation, and scoring on structured and unstructured data
Design and build systems that mine massive datasets and structure/ engineer it to be usable for machine learning models
Apply AI/Machine Learning technology to solve real-world problems
Apply standard statistical methods, simulation models and statistical programming as needed

Requirements

Master’s degree in Statistics/Mathematics
Bachelors / Master’s degree in Science/ Engineering / MCA
Nice to have: Azure
Nice to have: AWS

Skills

Machine Learning Artificial Intelligence Python regression decision trees

Actuarial Manager

Lemonade, Inc. · Posted Nov 3, 2026

Open

Remote
Remote
Full-time · Manager
$150K–$170K per year
6+ years

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Lead a team of actuaries to develop pricing models and expand product into new states for Lemonade’s car insurance.

Compensation

Lemonade's US base salary range for this full-time position is $150,000 - $170,000 plus equity + benefits.

Responsibilities

Own state rating plans and rate indications for Lemonade
Lead the development and integration of predictive modeling projects with Data Science team
Develop rates and pricing strategy for product expansions into new states
Assist in design and development of internal pricing tools for advanced analytics
Craft rate filing support for new machine learning models

Requirements

B.S. in Actuarial Science, Mathematics, Statistics, or a related field
Nice to have: FCAS

Skills

Python SQL GLMs decision trees gradient boosting machines random forests

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