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Ericsson AB

About this opportunity:The RAN System Management & Architecture  sector leads and enables a distributed systemization and engineering of the constituent parts of the RAN system. We are seeking for an experienced System Data Scientist to establish and lead our RAN data platform across system development, research, AI/ML and agentic workflow initiatives. 

In this role, you will build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine advanced AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Leading a team of data scientists, you will design scalable data architectures, implement analytical systems, and deliver high-impact insights. Working closely with the Senior Data Platform Architect, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:•    Lead AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios•    Develop and deploy production ML models with expertise in model versioning, monitoring, and A/B testing (MLOps practices)•    Build and implement GenAI applications and LLM including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) solutions•    Extract actionable insights from complex data and drive data-driven decisions across CI/CD optimization, research experimentation, product metrics, and business operations•    Perform advanced feature engineering and model optimization to ensure high-performance analytical solutions•    Build time series forecasting models for CI/CD predictions and capacity planning•    Collaborate with data platform and engineering teams to define requirements and implement solutions•    Lead and mentor a team of 4-6 data analysts, fostering innovation and continuous improvement

The skills you bring:•    3+ ML models deployed to production with hands-on experience in LLMs (OpenAI, Anthropic, open-source) and GenAI applications (chatbots, code assistants)•    Advanced Python programming for production environments and expertise in snowflake  or Apache Spark for large-scale data processing•    SQL mastery including complex queries and optimization; experience with data lakehouse technologies (Iceberg, Delta Lake, Parquet)•    Understanding of distributed systems, production data pipelines, and MLOps practices•    Advanced statistical methods (hypothesis testing, regression, causal inference) and ability to translate business questions into analytical solutions•    Can articulate model architecture choices and technical tradeoffs•    Nice-to-have: Kubernetes/Docker, Apache Airflow, streaming data processing (Kafka, Spark Streaming), dbt, and software development metrics dashboards•    Master's or PhD in Data Science, Statistics, Computer Science, or related field•    Optional certifications: Google Professional ML Engineer, AWS ML Specialty, Databricks ML Professional

LocationKista, Stockholm (Sweden), Athlone (Ireland), work from one of our Ericsson offices in these locations.

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Ericsson AB

About this opportunity:

We are seeking a System Data Scientist to establish and lead Ericsson's analytics function across software development, research, and AI/ML initiatives.

In this role, you will learn of build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Working closely with the Data Platform Team, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:

•    Learn to transform raw, disconnected information into trusted, ready-to-use data for artificial intelligence and Agentic workflows•    Learn AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios

The skills you bring:

•    Master’s degree or PhD in Telecommunication or similar•    Experience in driving studies telecommunications or AI technical areas•    Experience in presenting technical information to larger Audiences•    Python programming for production environments and expertise in managing large   data sets and data pipelines•    Experience with process in systematization of products•    A productive, creative mindset can help you interact easily with other people

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Ericsson AB

About this opportunity:

We are seeking a System Data Scientist to establish and lead Ericsson's analytics function across software development, research, and AI/ML initiatives.

In this role, you will learn of build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Working closely with the Data Platform Team, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:

•    Learn to transform raw, disconnected information into trusted, ready-to-use data for artificial intelligence and Agentic workflows•    Learn AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios

The skills you bring:

•    Master’s degree or PhD in Telecommunication or similar•    Experience in driving studies telecommunications or AI technical areas•    Experience in presenting technical information to larger Audiences•    Python programming for production environments and expertise in managing large   data sets and data pipelines•    Experience with process in systematization of products•    A productive, creative mindset can help you interact easily with other people

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Ericsson AB

About this opportunity:The RAN System Management & Architecture  sector leads and enables a distributed systemization and engineering of the constituent parts of the RAN system. We are seeking for an experienced System Data Scientist to establish and lead our RAN data platform across system development, research, AI/ML and agentic workflow initiatives. 

In this role, you will build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine advanced AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Leading a team of data scientists, you will design scalable data architectures, implement analytical systems, and deliver high-impact insights. Working closely with the Senior Data Platform Architect, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:•    Lead AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios•    Develop and deploy production ML models with expertise in model versioning, monitoring, and A/B testing (MLOps practices)•    Build and implement GenAI applications and LLM including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) solutions•    Extract actionable insights from complex data and drive data-driven decisions across CI/CD optimization, research experimentation, product metrics, and business operations•    Perform advanced feature engineering and model optimization to ensure high-performance analytical solutions•    Build time series forecasting models for CI/CD predictions and capacity planning•    Collaborate with data platform and engineering teams to define requirements and implement solutions•    Lead and mentor a team of 4-6 data analysts, fostering innovation and continuous improvement

The skills you bring:•    3+ ML models deployed to production with hands-on experience in LLMs (OpenAI, Anthropic, open-source) and GenAI applications (chatbots, code assistants)•    Advanced Python programming for production environments and expertise in snowflake  or Apache Spark for large-scale data processing•    SQL mastery including complex queries and optimization; experience with data lakehouse technologies (Iceberg, Delta Lake, Parquet)•    Understanding of distributed systems, production data pipelines, and MLOps practices•    Advanced statistical methods (hypothesis testing, regression, causal inference) and ability to translate business questions into analytical solutions•    Can articulate model architecture choices and technical tradeoffs•    Nice-to-have: Kubernetes/Docker, Apache Airflow, streaming data processing (Kafka, Spark Streaming), dbt, and software development metrics dashboards•    Master's or PhD in Data Science, Statistics, Computer Science, or related field•    Optional certifications: Google Professional ML Engineer, AWS ML Specialty, Databricks ML Professional

LocationKista, Stockholm (Sweden), Athlone (Ireland), work from one of our Ericsson offices in these locations.

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

We are now looking for a Senior Elastic Specialist on the behalf of our client.

As an Elastic Stack observability specialist, you will support the clients digital journey by contributing to the implementation of a standardized observability stack.

The role is focused on:

• Designing a stack that spans over air gapped environments.
• Analyzing current observability data and its usability in KQL
• Define improvements for data consistency and query performance
• Improving data structure and tagging
• Implement alerts, detection strategies and visualizations
• Explore storage type alternatives - hot vs cold storage
• Define retention policies by data type and usage
• Implement head/tail sampling strategies
• Provide documentation and knowledge transfer

We believe you have:

• Deep expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana, Elastic APM, OTEL)
• Experience with Elastic Fleet management
• Strong experience in observability engineering, focusing on logs, metrics, and traces correlation
• Advanced expertise in KQL (Kibana Query Language)
• Strong experience in designing detection logic and dashboards using KQL
• Experience in Logstash pipeline design, transformation, and routing
• Experience with alerting strategies and anomaly detection within Elastic
• Knowledge of data modeling, tagging strategies, and schema design using Elastic Common Schema (ECS)
• Experience in storage tier strategies
• Experience integrating Elastic with external systems e.g. Splunk
• Strong analytical and problem-solving skills
• Experience collaborating with cross-functional teams
• Strong communication and documentation skills
• Fluency in English

Your Application

Does the role sound interesting and like a good fit? We recommend submitting your application as soon as possible, as we are conducting interviews on an ongoing basis and the position may be filled before the application deadline. We can only receive and process your application if you register your CV in our portal. Due to GDPR regulations, we cannot accept applications via email. We warmly welcome your application! The assignment is part of Quest Consulting’s staffing services.

About Us

We are specialists in IT, Technology, HR, Administration, and Finance. Our goal is to be your personal partner, which is why it is very important to us to work according to our core values. Our key principles are to be Personal, Innovative, and Professional.

At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development.

You will help shape scalable Pega applications in a complex enterprise environment where architecture, performance, and integration quality are critical. This role combines hands-on development with architectural influence, giving you the opportunity to work closely with business stakeholders, product owners, and QA while guiding how Pega solutions are designed and delivered. It is a strong fit if you want to work deeply with Pega Infinity and Constellation and have real impact on large-scale solution design.

• You will design and guide scalable, high-performing Pega application architecture.
• You will build and implement complex workflows, decisioning logic, and integrations with external systems.
• You will identify, create, and maintain reusable components that support consistency across solutions.
• You will troubleshoot, test, and maintain the core product and related databases to ensure strong optimization and functionality.
• You will provide architecture and design guidance to project teams throughout delivery.
• You will collaborate with business stakeholders, product owners, and QA to move features from scope to implementation.
• You will support feature scoping and sizing and guide team members in using the latest Pega studios and tools.

• For an LSA profile: 8+ years of experience of pega PRPC development, 2+ years of experience in the LSA role, and Pega Certified Lead System Architect (CLSA) certification.
• For an SSA profile: 4+ years of experience in pega PRPC development, 2+ years of experience in the SSA role, and Pega Certified Senior System Architect (CSSA) certification.
• Project experience implementing in Pega Infinity.
• Hands-on Pega development experience in Constellation configuration.
• Experience in architecture design for large Pega solutions.
• Experience integrating enterprise applications with Pega solutions.
• Fluency in English.

• Experience from the financial sector.

• Permanent employment at Avaron AB
• Occupational pension
• Wellness allowance of SEK 5,000 per year

Selections are made on an ongoing basis – apply as soon as you can.

We are now looking for a Senior Elastic Specialist on the behalf of our client.

As an Elastic Stack observability specialist, you will support the clients digital journey by contributing to the implementation of a standardized observability stack.

The role is focused on:

• Designing a stack that spans over air gapped environments.
• Analyzing current observability data and its usability in KQL
• Define improvements for data consistency and query performance
• Improving data structure and tagging
• Implement alerts, detection strategies and visualizations
• Explore storage type alternatives - hot vs cold storage
• Define retention policies by data type and usage
• Implement head/tail sampling strategies
• Provide documentation and knowledge transfer

We believe you have:

• Deep expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana, Elastic APM, OTEL)
• Experience with Elastic Fleet management
• Strong experience in observability engineering, focusing on logs, metrics, and traces correlation
• Advanced expertise in KQL (Kibana Query Language)
• Strong experience in designing detection logic and dashboards using KQL
• Experience in Logstash pipeline design, transformation, and routing
• Experience with alerting strategies and anomaly detection within Elastic
• Knowledge of data modeling, tagging strategies, and schema design using Elastic Common Schema (ECS)
• Experience in storage tier strategies
• Experience integrating Elastic with external systems e.g. Splunk
• Strong analytical and problem-solving skills
• Experience collaborating with cross-functional teams
• Strong communication and documentation skills
• Fluency in English

Your Application

Does the role sound interesting and like a good fit? We recommend submitting your application as soon as possible, as we are conducting interviews on an ongoing basis and the position may be filled before the application deadline. We can only receive and process your application if you register your CV in our portal. Due to GDPR regulations, we cannot accept applications via email. We warmly welcome your application! The assignment is part of Quest Consulting’s staffing services.

About Us

We are specialists in IT, Technology, HR, Administration, and Finance. Our goal is to be your personal partner, which is why it is very important to us to work according to our core values. Our key principles are to be Personal, Innovative, and Professional.

Quartr is a software company serving the world of finance. Every day, leading companies and financial institutions worldwide use our products to research faster and understand deeper.

For too long, markets have been obsessed with numbers. Everyone has access to the same quantitative data, while qualitative insights – the words, the signals, the nuance – have remained mostly in the shadows. We make those insights accessible, searchable, and actionable.

Our products are used daily by some of the most sophisticated teams in finance and tech, including major hedge funds and Magnificent 7 companies, and over a million finance professionals have downloaded our mobile app.

We're backed by some of the smartest minds in our industry and growing fast at a global scale, and we're still at the very beginning of what we expect to be a multi-decade journey.

We are looking for a Python Backend Engineer to play a key role in scaling and improving our transcripts pipelines. If you love engineering robust software, extracting information from text, and thrive in a dynamic, fast-paced environment, we'd love to hear from you!

Our transcripts team builds and maintains the pipelines that power one of Quartr's most important data assets: transcripts. Your work will provide the core data foundation that powers essential product features and drives future product development.

What you'll do

• Build scalable systems for transcript ingestion, processing, and enrichment from diverse text sources
• Optimise backend performance for high-volume, text-heavy workloads and parallel processing
• Work on text processing and information extraction: entity recognition, metadata enrichment, and semantic structuring of transcripts
• Collaborate with cross-functional teams to shape features from concept to release, ensuring outstanding user experiences
• Monitor and troubleshoot data pipelines to ensure smooth operation and timely data delivery

Who you are

• Self-driven, proactive, and confident in taking full ownership of projects
• 
  
• A keen interest in NLP, speech-to-text, or large-scale text pipelines is advantageous
• Comfortable learning new technologies and eager to improve products and processes
• Balance pragmatism and craftsmanship, knowing when to move quickly and when to build for long-term scalability - even in complex systems with many interdependent components
• Communicate clearly and effectively, thriving in a high-paced, collaborative environment
• 
  
• Based in Sweden with a valid work permit

Required skills

• 3+ years of professional experience building robust backends in Python, preferably for large-scale or data-intensive systems
• Proven experience developing and maintaining REST APIs using frameworks such as FastAPI, Flask, or Django
• Familiarity with asynchronous programming and distributed processing
• 
  
• Ability to explain code and technical concepts clearly to both technical and non-technical stakeholders
• Ability to propose durable, simple solutions to complex problems

What we offer

• Do your life's work: The world's leading finance professionals use Quartr daily. We do fewer things better and hold a very high bar for quality.
• 
  
• Join the foundational team: We're still at the very beginning of a multi-decade journey. You'll have a big influence on product, culture, and how we win.
• 
  
• Meritocracy over hierarchy: You'll join a culture where the best idea wins. We value clear thinking, leave ego at the door, and obsess over the details.
• 
  
• Office culture with flexibility: Join us in one of our offices. We value being together, while also offering the flexibility to work from home when needed.
• 
  
• Compensation & well-being: We offer competitive salaries, benefits, and a generous wellness allowance to support your physical and mental health.

We include occupational pension for all employees in Sweden.

At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development.

You will help shape scalable Pega applications in a complex enterprise environment where architecture, performance, and integration quality are critical. This role combines hands-on development with architectural influence, giving you the opportunity to work closely with business stakeholders, product owners, and QA while guiding how Pega solutions are designed and delivered. It is a strong fit if you want to work deeply with Pega Infinity and Constellation and have real impact on large-scale solution design.

• You will design and guide scalable, high-performing Pega application architecture.
• You will build and implement complex workflows, decisioning logic, and integrations with external systems.
• You will identify, create, and maintain reusable components that support consistency across solutions.
• You will troubleshoot, test, and maintain the core product and related databases to ensure strong optimization and functionality.
• You will provide architecture and design guidance to project teams throughout delivery.
• You will collaborate with business stakeholders, product owners, and QA to move features from scope to implementation.
• You will support feature scoping and sizing and guide team members in using the latest Pega studios and tools.

• For an LSA profile: 8+ years of experience of pega PRPC development, 2+ years of experience in the LSA role, and Pega Certified Lead System Architect (CLSA) certification.
• For an SSA profile: 4+ years of experience in pega PRPC development, 2+ years of experience in the SSA role, and Pega Certified Senior System Architect (CSSA) certification.
• Project experience implementing in Pega Infinity.
• Hands-on Pega development experience in Constellation configuration.
• Experience in architecture design for large Pega solutions.
• Experience integrating enterprise applications with Pega solutions.
• Fluency in English.

• Experience from the financial sector.

• Permanent employment at Avaron AB
• Occupational pension
• Wellness allowance of SEK 5,000 per year

Selections are made on an ongoing basis – apply as soon as you can.

Ericsson AB

About this opportunity:The RAN System Management & Architecture  sector leads and enables a distributed systemization and engineering of the constituent parts of the RAN system. We are seeking for an experienced System Data Scientist to establish and lead our RAN data platform across system development, research, AI/ML and agentic workflow initiatives. 

In this role, you will build comprehensive data systems and analytical frameworks that enable data-driven decision-making across the organization. You will combine advanced AI/ML expertise (LLMs, GenAI, traditional ML) with full-stack data science capabilities and end-to-end system ownership. Leading a team of data scientists, you will design scalable data architectures, implement analytical systems, and deliver high-impact insights. Working closely with the Senior Data Platform Architect, you will define system requirements, optimize data pipelines, and ensure analytical infrastructure supports organizational needs.

What you will do:•    Lead AI/ML initiatives including GenAI, LLMs, and traditional machine learning across diverse use cases and business scenarios•    Develop and deploy production ML models with expertise in model versioning, monitoring, and A/B testing (MLOps practices)•    Build and implement GenAI applications and LLM including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) solutions•    Extract actionable insights from complex data and drive data-driven decisions across CI/CD optimization, research experimentation, product metrics, and business operations•    Perform advanced feature engineering and model optimization to ensure high-performance analytical solutions•    Build time series forecasting models for CI/CD predictions and capacity planning•    Collaborate with data platform and engineering teams to define requirements and implement solutions•    Lead and mentor a team of 4-6 data analysts, fostering innovation and continuous improvement

The skills you bring:•    3+ ML models deployed to production with hands-on experience in LLMs (OpenAI, Anthropic, open-source) and GenAI applications (chatbots, code assistants)•    Advanced Python programming for production environments and expertise in snowflake  or Apache Spark for large-scale data processing•    SQL mastery including complex queries and optimization; experience with data lakehouse technologies (Iceberg, Delta Lake, Parquet)•    Understanding of distributed systems, production data pipelines, and MLOps practices•    Advanced statistical methods (hypothesis testing, regression, causal inference) and ability to translate business questions into analytical solutions•    Can articulate model architecture choices and technical tradeoffs•    Nice-to-have: Kubernetes/Docker, Apache Airflow, streaming data processing (Kafka, Spark Streaming), dbt, and software development metrics dashboards•    Master's or PhD in Data Science, Statistics, Computer Science, or related field•    Optional certifications: Google Professional ML Engineer, AWS ML Specialty, Databricks ML Professional

LocationKista, Stockholm (Sweden), Athlone (Ireland), work from one of our Ericsson offices in these locations.

Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.