Ish
Hamkor tasmasidan
Data Scientist
So'rov bo'yicha narx
Tafsilotlar
- Ish turi
- To'liq kunlik
- Masofaviy
- Ha
- Kompaniya
- Intermedia Intelligent Communications
- Location raw
- Uk
Tavsif
About Intermedia
Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you
THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT
PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you.
Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows
companies to connect better. We have a strong track record of growth, profitability, and creating an environment
where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t
be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great
cloud technology. What’s more, we always look to promote from within and have many employees who have been
with us 10, 15, and 20+ years!
Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back!
While primarily remote , this role requires occasional visits to the Bristol office or London.
About the Role
Intermedia is looking for a Data Scientist to join our AI Data Science team.
In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia’s digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks.
You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions while helping establish strong practices for measuring and continuously improving the quality of our AI-powered experiences.
What You Will Be Doing
Machine Learning & Agent Intelligence
• Develop, evaluate, and improve machine learning and generative AI solutions that power Intermedia’s Digital Agent Platform.
• Apply large language models (LLMs), natural language processing, retrieval, and other advanced AI techniques to improve agent understanding and performance.
• Develop approaches that improve agent reasoning, tool selection, knowledge retrieval, context management, personalization, and task completion.
• Experiment with model, prompt, retrieval, and agent configuration strategies to identify approaches that deliver the best customer and business outcomes.
• Evaluate commercial and open-source models and recommend appropriate approaches based on quality, latency, scalability, and cost.
Generative AI & RAG
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information.
• Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques.
• Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources, and agent workflows.
• Develop approaches to improve the relevance, accuracy, and consistency of AI-generated responses.
• Identify and mitigate issues such as hallucinations, poor retrieval, inappropriate responses, and other failure modes in generative AI applications.
Evaluation & Experimentation
• Develop rigorous evaluation frameworks for measuring digital agent quality, including accuracy, relevance, task completion, reliability, safety, and customer experience.
• Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches.
• Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement.
• Define appropriate metrics and benchmarks that connect model and agent performance to customer and business outcomes.
• Analyze production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents.
• Ensure data and model quality through comprehensive testing, validation, and performance evaluation.
Data & Solution Development
• Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources.
• Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions.
• Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation.
• Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use.
• Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement.
• Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale.
Collaboration
• Partner with Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions.
• Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders.
• Participate in technical and design reviews and help establish strong practices for AI experimentation, evaluation, and model development.
• Mentor and support less experienced data scientists and contribute to knowledge sharing across the team.
Skills, Knowledge and Expertise
• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master’s degree preferred.…
Source: EU Remote Jobs (https://euremotejobs.com/job/data-scientist-4/)
Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you
THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT
PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you.
Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows
companies to connect better. We have a strong track record of growth, profitability, and creating an environment
where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t
be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great
cloud technology. What’s more, we always look to promote from within and have many employees who have been
with us 10, 15, and 20+ years!
Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back!
While primarily remote , this role requires occasional visits to the Bristol office or London.
About the Role
Intermedia is looking for a Data Scientist to join our AI Data Science team.
In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia’s digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks.
You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions while helping establish strong practices for measuring and continuously improving the quality of our AI-powered experiences.
What You Will Be Doing
Machine Learning & Agent Intelligence
• Develop, evaluate, and improve machine learning and generative AI solutions that power Intermedia’s Digital Agent Platform.
• Apply large language models (LLMs), natural language processing, retrieval, and other advanced AI techniques to improve agent understanding and performance.
• Develop approaches that improve agent reasoning, tool selection, knowledge retrieval, context management, personalization, and task completion.
• Experiment with model, prompt, retrieval, and agent configuration strategies to identify approaches that deliver the best customer and business outcomes.
• Evaluate commercial and open-source models and recommend appropriate approaches based on quality, latency, scalability, and cost.
Generative AI & RAG
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information.
• Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques.
• Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources, and agent workflows.
• Develop approaches to improve the relevance, accuracy, and consistency of AI-generated responses.
• Identify and mitigate issues such as hallucinations, poor retrieval, inappropriate responses, and other failure modes in generative AI applications.
Evaluation & Experimentation
• Develop rigorous evaluation frameworks for measuring digital agent quality, including accuracy, relevance, task completion, reliability, safety, and customer experience.
• Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches.
• Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement.
• Define appropriate metrics and benchmarks that connect model and agent performance to customer and business outcomes.
• Analyze production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents.
• Ensure data and model quality through comprehensive testing, validation, and performance evaluation.
Data & Solution Development
• Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources.
• Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions.
• Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation.
• Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use.
• Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement.
• Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale.
Collaboration
• Partner with Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions.
• Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders.
• Participate in technical and design reviews and help establish strong practices for AI experimentation, evaluation, and model development.
• Mentor and support less experienced data scientists and contribute to knowledge sharing across the team.
Skills, Knowledge and Expertise
• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master’s degree preferred.…
Source: EU Remote Jobs (https://euremotejobs.com/job/data-scientist-4/)
Bu e'lon hamkor tasmasidan olingan. Manba saytida ariza bering.
E'lon Intermedia Intelligent Communications tomonidan taqdim etilgan.
