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- Tasks: Join our AI team to develop innovative AI solutions for industrial challenges.
- Company: AVEVA, a global leader in industrial software with a focus on sustainability.
- Benefits: Flexible benefits, 28 days annual leave, private medical insurance, and education assistance.
- Why this job: Make a real impact in AI while collaborating with diverse teams across the globe.
- Qualifications: 8+ years in data science, strong ML skills, and proficiency in Python and SQL.
- Other info: Hybrid working model with opportunities for career growth and mentorship.
The predicted salary is between 70000 - 90000 £ per year.
Aveva is creating software trusted by over 90% of leading industrial companies.
We are seeking an innovative Senior Data Scientist to join our AI Investigation and Incubation team. This role will support the investigation, incubation, and development of new AI 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 industrial 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 technologies
- Contribute to the design and architecture of scalable data infrastructure and analytics platforms
- Collaborate with cross-functional teams to prototype, pilot and test AI-driven solutions
- Contribute to scientific and technical publications on AI/ML research
- 8+ years of experience in data science, advanced analytics, ML engineering, or equivalent industry experience with 3+ years in hands-on statistical modeling, machine learning, data pipelines and experimental design
- Bachelor's degree in Computer Science, Data Science, Statistics or a related technical field; advanced degree preferred
- Proficiency in Python, SQL, R and machine learning libraries
- Experience with AI/ML techniques and best practices, including model evaluation, training/tuning, monitoring, and governance
- Strong ability to translate emerging research into practical solutions
- Strong communication and presentation skills and can articulate complex technical concepts to both technical and non-technical audiences
- Experience in industrial or engineering domains
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Practical 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 mentoring junior team members and/or leading technical projects
- Compelling storyteller who can use data to influence decisions
- Ability to meaningfully influence AI roadmaps and technology direction through data-driven work
- Strong collaboration with cross-functional technical and non-technical teams
Our global team of 2000+ developers work on a diverse portfolio of over 75 industrial automation and engineering products, covering data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents. We focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.
UK Benefits:- 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.
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.
About AVEVA:AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our solutions are used by thousands of enterprises to deliver essentials of life safely, efficiently, and more sustainably. We are committed to sustainability and inclusion and have ambitious 2030 targets.
Background checks and equal opportunity:AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before start. Background checks will be conducted in accordance with local laws and may include education, employment history, work authorization, criminal records, identity verification, and credit checks. Some roles may involve additional criteria. AVEVA is an Equal Opportunity Employer. We provide reasonable accommodation to applicants with disabilities where appropriate. If you need accommodation for any part of the application and hiring process, please notify your recruiter.
Distinguished ML Data Scientist in Cambridge employer: AVEVA
Contact Detail:
AVEVA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Distinguished ML Data Scientist in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Aveva. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and AI. This gives you a chance to demonstrate your expertise beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Aveva team.
We think you need these skills to ace Distinguished ML Data Scientist in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Data Scientist. Highlight your experience in machine learning and data science, and don’t forget to showcase any relevant projects or achievements that align with our needs at AVEVA.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Be sure to express your passion for AI and how your background can contribute to our innovative team. Keep it concise but impactful!
Showcase Your Technical Skills: We want to see your technical prowess! Mention your proficiency in Python, SQL, R, and any machine learning libraries you’ve worked with. If you have experience with cloud platforms, make sure to include that too!
Apply Through Our Website: Don’t forget to submit your application through our official website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at AVEVA
✨Know Your Algorithms
Make sure you brush up on your machine learning algorithms and data science techniques. Be ready to discuss how you've applied these in real-world scenarios, especially in industrial contexts. This will show that you can translate complex concepts into practical solutions.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your experience with Python, SQL, and machine learning libraries. Practise explaining your thought process when designing data-driven experiments or building data pipelines. Clear communication is key!
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated with both technical and non-technical colleagues. Highlight any mentoring experiences as well, as they demonstrate leadership potential.
✨Be a Storyteller with Data
Think about how you can use data to tell compelling stories. Prepare to discuss how your insights have influenced decisions in past projects. This will help you stand out as someone who can not only analyse data but also communicate its value effectively.