AVEVA Logo

AVEVA

Distinguished ML Data Scientist

Reposted 8 Days Ago
In-Office or Remote
Hiring Remotely in Holme, Ulster
Senior level
In-Office or Remote
Hiring Remotely in Holme, Ulster
Senior level
The Senior Data Scientist will investigate and incubate AI solutions, collaborate on product capabilities, and design scalable data infrastructure.
The summary above was generated by AI

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

Position:Distinguished ML Data Scientist

Location:Europe

Employment Type: Full-time  

The job 

We are seeking an innovative Machine Learning (ML) data science leader. This is a hand-on lead role driving the investigation, incubation, and development of new AI and ML solutions to be incorporated into AVEVA’s industrial AI offerings. The ideal candidate will have a strong background in machine learning, advanced analytics, data science, and frontier 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 AI and ML technologies  

  • Drive the design and architecture of scalable data infrastructure and analytics platforms  

  • Collaborate with cross-functional teams to prototype, pilot and test ML-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 with 4+ years in hands-on statistical modeling, machine learning, data pipelines and experimental design  

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

  • Deep expertise in 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 paradigms such 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 

  • Proficiency in 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 and leading 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/

AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check.  Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.

AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.  AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.

Similar Jobs

45 Minutes Ago
Remote
Entry level
Entry level
Artificial Intelligence • Cloud • Consumer Web • eCommerce • Information Technology • Software
Provide technical support to customers via phone, email, and chat. Resolve issues, enhance customer satisfaction, and improve product functionality through effective communication and problem-solving skills.
Top Skills: CSSHTMLJavaScriptJquery
15 Hours Ago
Easy Apply
Remote or Hybrid
Easy Apply
Senior level
Senior level
Big Data • Cloud • Software • Database
Support sales and delivery of legacy-to-MongoDB modernization engagements: run technical workshops, design scalable cloud/on‑prem solutions, build and demo containerized applications, advise account strategy, and travel to customer sites.
Top Skills: AWSCC#C++DockerGenaiGithub CodespacesGCPJavaAzureMongoDBMongodb AtlasNode.jsPythonSQL
15 Hours Ago
Easy Apply
Remote or Hybrid
Easy Apply
Mid level
Mid level
Big Data • Cloud • Software • Database
Mid-level Software Engineer contributing to customer-facing Atlas features: write well-tested code, author technical specs, lead small projects, participate in reviews, triage support, and join on-call rotation. Work within cross-functional squads to improve product metrics.
Top Skills: AWSCC++GoGCPJavaJavaScriptAzureMongoDBSQLTypescript

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account