Básico

Distinguished ML Data Scientist

Malmö, Sweden Empresa: TN Sweden Cliente / Empregador: AVEVA
Publicado: 18.05.2026
Data de encerramento: 02.07.2026
Referência de emprego: 29db583d04f2608c058a299ace2f1072

Informação do emprego

Localização
Malmö, Sweden
Empresa
TN Sweden
Cliente / Empregador
AVEVA
Referência de emprego
29db583d04f2608c058a299ace2f1072
Tipo de listagem
Básico
É necessária autorização de trabalho da UE
Não
Publicado
18.05.2026
Data de encerramento
02.07.2026

Descrição do cargo

AVEVA is creating software trusted by over 90% of leading industrial companies.

Position:DistinguishedMLData Scientist

Location:Europe

Employment Type:Full-time 

The job

We are seeking an innovativeMachine Learning (ML)datascience leader. Thisis a hand-on lead role driving theinvestigation, incubation, and development of new AIand MLsolutions to be incorporated into AVEVA’sindustrial AI offerings.The ideal candidate will have a strong background in machine learning,advanced analytics, data science,andfrontier AI applications.

Key responsibilities

  • Investigate and recommend algorithmic/data science solutions to industrial problems

  • Define and translate ambiguous concepts into well-defined questions, drive analysis of complex datasets for insights, and design data-driven experiments and incubations for emerging AIand MLtechnologies 

  • Drivethe design and architecture of scalable data infrastructure and analytics platforms 

  • Collaborate with cross-functional teams to prototype, pilot and testML-driven solutions 

  • Contribute to scientific and technical publications on AI/ML research

  • Essential requirements

  • 12+ years of experience in data science, advanced analytics, ML engineering, or equivalent industry experience with4+ years in hands-on statistical modeling, machine learning, datapipelines and experimental design 

  • Master's degree in Computer Science, Data Science, Statistics or a related technical field;PhDdegree preferred 

  • Deepexpertisein frontier and emerging AI, ML and data science techniques and best practices, including model evaluation, training/tuning, monitoring, and governance 

  • Recent experience with modern AI paradigmssuch as:world models, foundation models, and multi-modal language models; agent-based systems and orchestration; and context retrieval and augmentation techniques 

  • Experience in responsible deployment practices, model drift mitigation, privacy-preserving federating learning,and AI governance best practices

  • Proficiencyin Python, SQL, R and machine learning libraries 

  • Exceptional communication andpresentation skills and can articulate complex technical concepts to both technical and non-technical audiences 

  • Desired skills and competencies

  • Experience in industrial domains 

  • Familiarity with cloud platforms (AWS, Azure, GCP) 

  • Experience mentoring junior team members andleading technical programsend-to-end

  • What success looks like

  • Compelling storyteller who can use data to influence decisions 

  • Ability to meaningfully influence AI roadmaps and technology direction through data-driven work 

  • Strong ability to translate emerging research into practical solutions 

  • Strong collaboration with cross-functional technical and non-technical teams 

  • UK Benefits include:

    Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.

    It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.

    Find out more: aveva.com/en/about/careers/benefits/

    Hybrid working

    By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote.

    Hiring process

    Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.

    Find out more: aveva.com/en/about/careers/hiring-process

    About AVEVA

    AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.

    We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/

    Find out more: aveva.com/en/about/careers/

    Competências

    apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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