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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: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.

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.

10% of Europe’s CO₂ emissions are caused by residential heating, and energy bills are out of control. Aira is here to change that.

With our intelligent Aira Heat Pump at the heart, we’re making the switch to clean energy-tech easier and more affordable. Helping Europe turn off gas and slash energy costs one home at a time.

Founded in 2022, and with 1200+ employees and counting, Aira is driving the clean energy revolution by providing homes with modern clean energy-tech solutions such as solar power, battery storage solutions, and heat pumps. With a state-of-the-art production facility in Poland, and HQ in Stockholm, Sweden, and hubs across the UK, Germany, and Italy, Aira is well on track to install clean energy-tech into 5 million homes by 2034.

About the role 

As a Frontend Developer on our Planning team, you'll help transform how clean energy gets delivered—by empowering our planners with intuitive, data-driven tools. This team is responsible for optimizing the scheduling of Aira’s field force. The domain stretches across the whole customer journey, including tools for booking and coordinating sales visits, heat pump installations, and maintenance. You'll work at the intersection of software and real-world impact, building data products that help planners effectively schedule our field force based on proximity, dates, and other critical factors.

In this role, you will:

• Build modern user interfaces that enable planners to visualize and optimize complex scheduling scenarios—bringing clarity, efficiency, and effectiveness to workforce planning

• Develop interactive map-based tools that help planners make better decisions based on geographical proximity, travel times, and resource availability

• Create intuitive dashboards that collect and visualize operational data, helping planners identify patterns, balance workloads, and make smarter scheduling decisions

• Design user experiences that simplify the planning process and reduce cognitive load—enabling planners to focus on strategic decisions rather than administrative tasks

• Support dynamic rescheduling capabilities with clear interfaces that highlight impacts and alternatives when changes occur

• Help us scale into new regions and markets by building flexible interfaces that adapt to varying local requirements, scheduling constraints, and service models

We're changing how clean energy visits are planned and scheduled—making it smarter, faster, and better for everyone involved. If you're excited about building modern tooling and UIs that empower planning teams and drive tangible outcomes, this is the role for you.

What you’ll bring to the role

• Solid experience with product-driven software development and agile environments

• Experience with React and TypeScript

• Strong visualization skills, especially with maps and timeline interfaces

We would also expect you to have experience in at least two of the following areas:

• Rapid growth journeys (start-ups, scale-ups, new environments)

• Kanban, Scrum, and/or a combination of both

• Next.js

• Data visualization libraries (D3.js, Chart.js, etc.)

• Map integration (Mapbox, Google Maps, Leaflet)

• Experience building planning or scheduling interfaces

What is in it for you?

• Gain hands-on experience in a fast-growing scale-up, with a supportive and inclusive culture, and career advancement opportunities.

• Collaborate with diverse teams across international markets and launch products globally.

• Develop and grow personally and professionally in an entrepreneurial-minded environment.

• Thrive in a dynamic, solution-oriented culture, tackling challenges and driving meaningful solutions that make a positive impact on the world.

• Influence the company's success, with a visible impact on product development and market growth.

• Enjoy the flexibility of our hybrid work model and discover our brand-new office at Norra Stationsgatan 93 in Stockholm. Conveniently located near public transport, with Sankt Eriksplan and Odenplan stations just a few minutes' walk away

At Aira, we champion the next-generation energy as well as diversity and inclusion. We firmly believe that a diverse workforce fosters innovation and creativity, enhancing our ability to serve customers and communities effectively. We welcome individuals from all backgrounds, cultures, and perspectives to join our team. Our commitment is to uphold equality and inclusivity, fostering a collaborative environment where everyone can thrive and contribute to a better future for our people and the planet.

Startdatum: Om 4-5 veckor Slutdatum: Option på förlängning Omfattning: 100% Plats: Hybrid

En större offentlig aktör söker en erfaren frontendutvecklare för arbete med utveckling och vidareutveckling av webbaserade tjänster kopplade till digital försäljning och självservice. Lösningarna riktar sig både till privatpersoner och organisationer som hanterar tjänster för sina medarbetare eller användare.

Miljön består av flera agila utvecklingsteam som tillsammans ansvarar för organisationens webbplattformar. Fokus ligger på modern webbutveckling med hög kvalitet, god prestanda och en arkitektur där komponenter är fristående, testbara och enkla att driftsätta.

Frontendutvecklingen sker huvudsakligen i moderna JavaScript-ramverk och Typescript. Backend bygger på moderna tjänstearkitekturer och lösningarna utvecklas med målsättningen att driftsättas i en molnbaserad miljö. Frontend bygger på ett komponentbibliotek kopplat till ett centralt designsystem.

Teamen arbetar nära varandra i en agil organisation med kontinuerliga releaser, automatiserade tester och ett starkt fokus på samarbete kring produktutveckling.

Arbetsspråket i uppdraget är svenska, både i tal och skrift.

• Utveckla och vidareutveckla webbaserade användargränssnitt i moderna frontendramverk

• Bygga och underhålla återanvändbara komponenter baserade på designsystem

• Säkerställa kvalitet genom automatiserade tester och kodgranskning

• Samarbeta med UX, backendutvecklare och andra team i organisationen

• Bidra till förbättringar av arkitektur, prestanda och utvecklingsprocesser

• Delta i agil utveckling med täta leveranser och kontinuerlig förbättring

• Högskoleexamen inom ett IT-relaterat område, exempelvis datateknik eller informationsteknik

• Minst 5 års dokumenterad erfarenhet av webbutveckling med moderna SPA-ramverk (t.ex. React, Angular, Vue eller liknande)

• Minst 3 års erfarenhet av utveckling i React

• Minst 3 års erfarenhet av utveckling i Typescript

• Minst 2 års erfarenhet av arbete med Next.js

• Minst 3 års erfarenhet av att konfigurera och utveckla automatiserade tester, exempelvis med Jest, React Testing Library eller Cypress

• Minst 3 års erfarenhet av utveckling i tekniskt komplexa miljöer med flera integrationer och beroenden

• Minst 3 års erfarenhet av arbete enligt riktlinjer för tillgänglighet (exempelvis WCAG)

• Minst 3 års erfarenhet av arbete i featureteam i större organisationer med beroenden till andra tekniska team

• Erfarenhet av nära samarbete med UX samt arbete med designsystem och komponentbaserad design (t.ex. Atomic Design)

• Erfarenhet av code reviews och kvalitetssäkring av kod

• Erfarenhet av att bidra till tekniska beslut inom frontendarkitektur och arbetssätt

• Erfarenhet av CI/CD-processer

• Erfarenhet av arbete i monorepo-baserade projekt