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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.

About Us

Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar.

Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes.

1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview.

We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law.

Joining Legora means three things.

• We lean in: ownership over titles, outcomes over intentions.
• We fight for excellence: high standards, direct, ego-free feedback.
• We grow together: as a team and with our customers.
• Mission before ego. Everyone contributes. No one coasts.
• If you’re driven by impact, pace, and raising the bar. This is the place.

The role

As a Software Engineer at Legora you will build, review and ship amazing products helping legal professionals all over the world in their day-to-day job. You’ll get the chance to work across the entire tech stack with clear ownership and autonomy.

What you will be doing:

• Architect and implement features end-to-end for our web platform
• Take ownership of our codebase, balancing high-quality code, security and speed of development
• Work with technologies such as React, Node.js, AWS, Azure and Kubernetes
• Review code and mentor junior colleagues to support them in their development, making the team even better!
• Drive continuous improvement and challenge us, the industry and yourself

Who you are

• A passionate engineer with a several years of experience building great products using cutting-edge technologies
• You feel comfortable working across the entire tech stack, with focus on backend development
• You’re autonomous and take pride in the code you write
• You’re a problem solver who’s not afraid to come up with creative solutions and think holistically about software architecture
• Someone who enjoys being in the office 5 days a week. A key component of Legora’s success has been in-person collaboration and we want you to be part of that.
• Experience in infrastructure and integrations are a big plus

Legora is an Equal Opportunity Employer

At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

About Us

Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar.

Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes.

1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview.

We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law.

Joining Legora means three things.

• We lean in: ownership over titles, outcomes over intentions.
• We fight for excellence: high standards, direct, ego-free feedback.
• We grow together: as a team and with our customers.
• Mission before ego. Everyone contributes. No one coasts.
• If you’re driven by impact, pace, and raising the bar. This is the place.

The role

As a Senior Software Engineer at Legora you will build, review and ship amazing products helping legal professionals all over the world in their day-to-day job. You’ll get the chance to work across the entire tech stack with clear ownership and autonomy.

What you will be doing:

• Architect and implement features end-to-end for our web platform
• Take ownership of our codebase, balancing high-quality code, security and speed of development
• Work with technologies such as TypeScript, React, Node.js, AWS, Azure and Kubernetes
• Review code and mentor junior colleagues to support them in their development, making the team even better!
• Drive continuous improvement and challenge us, the industry and yourself

Who you are

• A passionate engineer with several years of experience building great products using cutting-edge technologies
• You feel comfortable working across the entire tech stack, with focus on either frontend or backend development
• You’re autonomous and take pride in the code you write
• You have strong engineering judgment and taste, and can quickly understand unfamiliar codebases and control flows
• You’re a problem solver who values simple, pragmatic architecture and can explain your trade-offs clearly
• Experience in infrastructure and integrations is a big plus

Legora is an Equal Opportunity Employer

At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

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: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.