At a Glance
- Tasks: Lead innovative ML projects and develop cutting-edge AI solutions for industrial applications.
- Company: Join a forward-thinking tech company focused on transforming industries with AI.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to mentor and influence AI strategies.
- Why this job: Make a real impact in the AI field while working with top-tier technologies.
- Qualifications: 12+ years in data science, strong ML skills, and a Master's or PhD preferred.
The predicted salary is between 100000 - 150000 € per year.
Requirements
- The ideal candidate will have a strong background in machine learning, advanced analytics, data science, and frontier AI applications.
- 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 federated learning, and AI governance best practices.
- Proficiency in Python, SQL, R and machine learning libraries.
- Exceptional communication and presentation skills and can articulate complex technical concepts to both technical and non-technical audiences.
- (Desirable) Experience in industrial domains.
- (Desirable) Familiarity with cloud platforms (AWS, Azure, GCP).
- (Desirable) Experience mentoring junior team members and leading technical programs end-to-end.
- 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.
What the job involves
- We are seeking an innovative Machine Learning (ML) data science leader. This is a hands-on lead role driving the investigation, incubation, and development of new AI and ML solutions to be incorporated into AVEVA’s industrial AI offerings.
- 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.
Distinguished ML Data Scientist in Cambridge employer: Deepstreamtech
AVEVA is an exceptional employer for the Distinguished ML Data Scientist role, offering a dynamic work culture that fosters innovation and collaboration. With a strong commitment to employee growth, AVEVA provides opportunities for mentorship and leadership in cutting-edge AI and ML projects, all within a supportive environment that values diverse perspectives. Located in a vibrant tech hub, employees benefit from access to industry-leading resources and a network of like-minded professionals, making it an ideal place for those seeking meaningful and rewarding careers in data science.
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 your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and data science. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft 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! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your experience aligns with our mission and values.
We think you need these skills to ace Distinguished ML Data Scientist in Cambridge
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 12+ years in data science and ML engineering. We want to see your hands-on experience with statistical modelling and machine learning, so don’t hold back on those details!
Be Clear and Concise:When you’re writing your application, keep it straightforward. We love a good story, but we also appreciate clarity. Make sure your skills and experiences shine through without any fluff.
Tailor Your Application:Don’t just send the same application everywhere! Tailor it to us at StudySmarter by aligning your skills with our job description. Show us how your expertise in AI and ML can drive innovation in our industrial offerings.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with StudySmarter!
How to prepare for a job interview at Deepstreamtech
✨Know Your Stuff
Make sure you brush up on your machine learning and data science fundamentals. Given the role's focus on advanced analytics and frontier AI applications, be prepared to discuss your experience with statistical modelling, data pipelines, and experimental design in detail.
✨Showcase Your Projects
Bring examples of your past work that highlight your expertise in modern AI paradigms and responsible deployment practices. Be ready to explain how you've tackled model drift mitigation or privacy-preserving techniques in your previous roles.
✨Communicate Clearly
Since exceptional communication skills are a must, practice articulating complex technical concepts in simple terms. Think about how you can explain your projects to both technical and non-technical audiences, as this will be crucial in the interview.
✨Collaborate and Influence
Prepare to discuss how you've collaborated with cross-functional teams and influenced AI roadmaps in your previous positions. Highlight your ability to translate emerging research into practical solutions and how you've mentored junior team members along the way.
