Junior AI Scientist Job at Antech Diagnostics (Loveland)

Big Data Junior Scientist

We are seeking a highly motivated and analytically driven The Big Data Junior Sc...

Location

Poland , Warsaw

Salary:

90440.00 - 142960.00 PLN / Year

Citi

Expiration Date

Until further notice

Requirements

Master or Bachelor degree in technical science/mathematics/statistics/quantitative methods (degree in economics/banking may be considered if strong analytical skills proved) (4-5th year students may be considered as well)
Some experience in data mining methods and their application in business practice
Programming and statistical/data analytical skills (SQL, Python)
Initiative, creativity and attention to details
Ability to discuss reasoning, critical assessment of facts and opinions
Demonstrated ability to communicate effectively, both orally and in writing
Self-motivated with high desire of self-development and learning

Job Responsibility

Conduct data-driven analyses and reports
apply qualitative and quantitative data analysis methods, prepare statistical and non-statistical data exploration
Apply statistical methods to organize, analyze, and interpret data related to AML monitoring scenarios and thresholds
Build and implement models and algorithms
Detect data anomalies and identify source of data problems
Use visualization techniques to display data and the results of analysis in clear presentations
Design statistically valid samples, design and conduct statistical experiments
Work with existing AI models and contribute to the exploration and implementation of new AI-driven solutions for data analysis and pattern recognition
Ensure Data Quality and Reliability
Design and implement various Data Quality methods

What we offer

Employer paid Defined Contribution Pension Plan contribution of 6% of employee’s pensionable earnings (PPE Program)
Employer paid Private Medical Care Package for employees and Private Medical Care Packages for certain family members available at preferential rates
Employer paid Life Insurance Program for employees and Life Insurance for certain family members available at preferential rates
Employee Assistance Program financed by Employer
Paid Parental Leave Program (maternity and paternity leave
statutory and 2 weeks additional paid paternity leave)
Sport Card for employees subsidized via Social Benefits Fund and Sport Cards for certain family members available at preferential rates
Additional benefits from Company’s Social Benefit Fund, in particular: Holidays Allowance, support for sport and cultural activities, team building events
Additional day off for volunteering
Cafeteria/ flex benefit

Fulltime

New

Junior Applied Scientist

The ZEOS department is responsible for all partner-facing Zalando Logistics Solu...

Location

Germany , Berlin

Salary:

Not provided

Zalando

Expiration Date

Until further notice

Requirements

Educational background in a quantitative field
Masters degree or higher preferred
Up to 2 years of hands-on experience (including internships, working student roles, or significant academic/thesis projects) applying scientific methods to solve complex problems
A solid theoretical foundation and practical exposure in at least one of the following areas: Machine Learning or Deep Learning for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers)
Operations Research and Optimization (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations)
Machine Learning Engineering basics (e.g., understanding of git, batch processing, basic software testing)
Agentic AI & MCP evaluation frameworks
Proficiency in SQL and Python, with some exposure to working with datasets
Strong communication skills with the ability to explain scientific concepts clearly and a desire to learn how to communicate effectively with business stakeholders
A collaborative, growth-oriented mindset. You have a passion for learning by doing and are not afraid to ask questions

Job Responsibility

Contribute to building various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions, recommendation services, and emerging Agentic AI systems
Be an active scientific partner, working alongside experienced scientists and product teams to define problems and build solutions
Tackle cutting-edge challenges in stochastic inventory optimization, multi-echelon demand forecasting, and recommender systems
Assist in defining how we measure performance of MCP servers
Contribute to implementing evaluation frameworks (e.g., LLM-as-a-judge, safety guardrails) to ensure autonomous systems act reliably
Follow ideas from initial research and prototyping to production
Learn how to define success metrics, collaborate with engineers to deploy scalable services, and monitor real-world impact on partner KPIs
Build platform-level services that scale across hundreds of diverse partners

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
2 paid volunteering days per year
27 days of vacation a year to start for full-time employees
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review

Fulltime

New

Junior Applied Scientist

The ZEOS department is responsible for all partner-facing Zalando Logistics Solu...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

Educational background in a quantitative field
Masters degree or higher preferred
Up to 2 years of hands-on experience (including internships, working student roles, or significant academic/thesis projects) applying scientific methods to solve complex problems
A solid theoretical foundation and practical exposure in at least one of the following areas: Machine Learning or Deep Learning for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers)
Operations Research and Optimization (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations)
Machine Learning Engineering basics (e.g., understanding of git, batch processing, basic software testing)
Agentic AI & MCP evaluation frameworks
Proficiency in SQL and Python, with some exposure to working with datasets
Strong communication skills with the ability to explain scientific concepts clearly and a desire to learn how to communicate effectively with business stakeholders
A collaborative, growth-oriented mindset

Job Responsibility

Building innovative and impactful ML/Optimization systems for our B2B logistics partners
Contributing to building various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions, recommendation services, and emerging Agentic AI systems
Helping B2B partners improve inventory health and order fulfillment efficiency
Playing a key role in a cross-functional team
Defining problems and building solutions
Tackling cutting-edge challenges in stochastic inventory optimization, multi-echelon demand forecasting, and recommender systems
Assisting in defining how we measure performance of MCP servers
Contributing to implementing evaluation frameworks (e.g., LLM-as-a-judge, safety guardrails) to ensure autonomous systems act reliably
Following ideas from initial research and prototyping to production
Learning how to define success metrics, collaborate with engineers to deploy scalable services, and monitor real-world impact on partner KPIs

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
2 paid volunteering days per year
27 days of vacation a year to start for full-time employees
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review

Fulltime

Junior Data Scientist

Satalia builds enterprise-grade AI systems for WPP and its FTSE 100 client base....

Location

Greece

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

A degree in a quantitative field (computer science, mathematics, statistics, physics, engineering, or similar) or equivalent practical experience
Solid understanding of ML fundamentals: supervised vs. unsupervised learning, overfitting, evaluation metrics, and basic model selection
Working knowledge of Python — you can write functions, use libraries, debug errors, and read other people's code
Familiarity with core data science libraries (pandas, NumPy, scikit-learn)
Exposure to PyTorch or TensorFlow is a plus
Some project experience with ML — academic projects, personal projects, internships, or competition entries all count. Show us something you've built
Curiosity and initiative — you read papers, follow releases, tinker with new tools, and ask good questions
Clear communication — you can explain what you did, why, and what you learned from it.

Job Responsibility

Explore and prepare datasets — cleaning, feature engineering, and exploratory analysis across structured and unstructured data (text, image, tabular)
Train and evaluate ML models under the guidance of senior scientists, learning how to move from a working prototype to a production-ready system
Write and maintain Python code that runs in production — scripts, pipeline components, and data processing jobs — with support through code review
Help build and test components of LLM-powered systems: prompt templates, evaluation scripts, data loaders, and retrieval pipelines
Run experiments systematically: track hypotheses, log results, and communicate findings clearly to the team
Learn and adopt software engineering best practices — Git workflows, testing, documentation, and CI/CD — as part of your daily work.

What we offer

Remote working - café, bedroom, beach - wherever works
Benefits healthcare
Truly flexible working hours - school pick up, volunteering, gym
Generous Leave – holidays in line with Greek Law, plus bank holidays and enhanced family leave
Impactful projects - focus on bringing meaningful social and environmental change
People oriented culture - wellbeing is a priority, as is being a nice person
Transparent and open culture - you will be heard
Development - focus on bringing the best out of each other

Fulltime

Junior Data Scientist

At the Mercedes-Benz Customer Assistance Center (CAC), we support customers acro...

Location

Netherlands , Maastricht

Salary:

3607.00 - 4122.00 EUR / Month

Randstad

Expiration Date

July 30, 2026

Requirements

Deep understanding of embeddings, vector search, topic modeling, and RAG architectures
Experience with prompt engineering and orchestration frameworks (e.g., LangChain or LlamaIndex)
Proficiency in Azure Databricks, PySpark, and Spark SQL
Know how to ingest data from APIs, streams, and files into well-modeled data layers
Strong Python skills with an emphasis on modularity, Pydantic for data validation, and professional Git workflows
Comfortable working in an Agile or SAFe environment
Fluent in English (written and spoken)
Proactive self-starter
Transparent, proactive communication
Critical thinking

Job Responsibility

Design and build LLM-based solutions for information extraction, summarization, and conversational AI
Develop scalable data pipelines in Azure Databricks using PySpark and Spark SQL
Write clean, modular Python code and build shared libraries and reusable components
Use Copilot and other AI assistants to accelerate workflow while maintaining high standards for validation (Pydantic) and version control (Git/GitHub)
Act as a consultant to the business, explaining complex AI concepts to stakeholders and challenging requirements to ensure we solve the right problems

What we offer

Long term commitment
Personal development
International and dynamic environment

Fulltime

Junior Data Scientist

Satalia builds enterprise-grade AI systems for WPP and its FTSE 100 client base....

Location

United Kingdom , London

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

A degree in a quantitative field (computer science, mathematics, statistics, physics, engineering, or similar) or equivalent practical experience
Solid understanding of ML fundamentals: supervised vs. unsupervised learning, overfitting, evaluation metrics, and basic model selection
Working knowledge of Python — you can write functions, use libraries, debug errors, and read other people's code
Familiarity with core data science libraries (pandas, NumPy, scikit-learn)
Some project experience with ML — academic projects, personal projects, internships, or competition entries all count
Curiosity and initiative — you read papers, follow releases, tinker with new tools, and ask good questions
Clear communication — you can explain what you did, why, and what you learned from it

Job Responsibility

Explore and prepare datasets — cleaning, feature engineering, and exploratory analysis across structured and unstructured data (text, image, tabular)
Train and evaluate ML models under the guidance of senior scientists, learning how to move from a working prototype to a production-ready system
Write and maintain Python code that runs in production — scripts, pipeline components, and data processing jobs — with support through code review
Help build and test components of LLM-powered systems: prompt templates, evaluation scripts, data loaders, and retrieval pipelines
Run experiments systematically: track hypotheses, log results, and communicate findings clearly to the team
Learn and adopt software engineering best practices — Git workflows, testing, documentation, and CI/CD — as part of your daily work

What we offer

Enhanced pension
Life assurance
Income protection
Private healthcare
Remote working
Truly flexible working hours
Generous Leave - 27 days holiday plus bank holidays and enhanced family leave
Annual bonus
Impactful projects - focus on bringing meaningful social and environmental change
People oriented culture

Fulltime

Staff Applied Research Scientist - Martech AI

We are seeking a highly experienced and strategic Staff Applied Research Scienti...

Location

United States , New York City; Palo Alto; Chevy Chase; Dallas; Seattle; Chicago; Austin

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

BS in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, PhD is preferred
At least 6+ years of professional experience delivering applied AI/ML solutions in production, including leading cross-functional initiatives with enterprise impact
Demonstrated ability to leverage LLMs and agentic AI systems to develop and deploy personalized marketing solutions, including individualized content generation, campaign targeting, and optimization of customer engagement/retention/conversion strategies
Strong proficiency in Python and SQL
deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn
Demonstrated experience establishing KPI frameworks, experimentation, and causal analysis to quantify model impact and inform prioritization
Excellent stakeholder management skills with a track record of driving alignment and adoption across product, engineering, and business teams
Strong written and verbal communication skills
ability to set the right context and explain complex technical topics to varied audiences, including executives

Job Responsibility

Identify High-Impact Opportunities: Proactively surface and shape high-value AI/ML initiatives by engaging with product, engineering, and operations to align technical roadmaps with strategic business goals
Architecture & Technical Direction: Provide architectural leadership for AI/ML solutions impacting multiple stakeholders. Establish standards for scalability, reliability, observability, compliance, and cost efficiency across online and batch systems
Development & Productionization: Lead end-to-end delivery of AI/ML solutions, including model design, data pipelines, feature stores, evaluation, deployment, A/B testing, and monitoring in real-time and batch environments. Ensure clear plans, milestones, and on-time delivery
ROI Measurement & Experimentation: Establish robust mechanisms to quantify business impact, including KPI definition, experimentation frameworks, and causal inference approaches to guide decision-making and prioritize investments
Innovation & Research Integration: Stay current with cutting-edge research in ML, GenAI, and optimization. Prototype and harden novel techniques that push the boundaries of innovation within GEICO’s insurance ecosystem
Set technical direction for multi-quarter research initiatives
build evaluation frameworks, ensure reproducibility/responsible AI, and drive cross-functional adoption
shepherd patents
Cross-Functional Collaboration: Champion collaboration across Product, Engineering, Data Platform, Governance, Legal, and Operations to ensure responsible, compliant, and effective adoption of AI systems
Mentorship & Capability Building: Mentor junior and senior scientists, elevate technical standards (coding, testing, documentation, reproducibility), and foster a culture of scientific rigor and engineering excellence

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Data Scientist & Gen AI Vice President

This role is a senior position where we are seeking a highly experienced and str...

Location

India , Haryana

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of hands-on experience in data science, or AI/ML roles
7+ years’ experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS
Strong quantitative, analytical, and problem-solving skills
knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods
2+ years of hands-on experience specifically with generative AI or LLMs
Strong understanding of statistical concepts and modelling techniques including traditional and advanced ML algorithms
Strong programming skills in Python, and familiarity with libraries like Transformers, LangChain, LlamaIndex, PyTorch, or TensorFlow
Working knowledge of retrieval-augmented generation (RAG) pipelines and vector databases
Understanding of MLOps / LLM Ops, model evaluation, prompt tuning, and deployment pipelines
Experience building applications with OpenAI, Anthropic Claude, Google Gemini, or open-source LLMs

Job Responsibility

Lead the design and implementation of generative AI use cases, from ideation to production
Build and tune LLM-based applications using platforms like Vertex, GPT, Hugging Face, etc
Create robust prompt engineering strategies and reusable prompt templates
Integrate generative AI with enterprise applications using APIs, knowledge graphs, vector databases (e.g., PG Vector, Pinecone, FAISS, Chroma), and orchestration tools
Collaborate with Tech and business teams to identify opportunities and build solutions
Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation
Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation
Responsible for documenting the model development documents for MRM approvals and governance purposes
Stay current on GenAI trends, frameworks (LangChain, LlamaIndex), and research
Mentor junior team members and promote a culture of experimentation and learning

Fulltime

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Junior AI Scientist

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