At a Glance
- Tasks: Analyse data and develop innovative solutions to advance healthcare automation.
- Company: Join ATS Corporation's Innovation Center, a hub for cutting-edge R&D.
- Benefits: Competitive salary, performance bonuses, generous vacation, and health benefits.
- Other info: Collaborative team culture with opportunities for continuous learning and global mobility.
- Why this job: Make a real impact in healthcare while growing your career in a dynamic environment.
- Qualifications: Post-secondary degree in a quantitative field and strong experience with Databricks.
The predicted salary is between 70000 - 90000 £ per year.
Benefits:
- Compensation: $88,000 - $121,000
- Annual Performance-Based Incentive Bonus 5%
- RRSP match
- Stock purchase plan
- Starting 3 weeks of vacation
- Benefits package (health and dental) + $600 health spending account
- Half-Day Fridays
- Continuous learning and career growth with global mobility opportunities.
- A chance to contribute to something bigger - advancing the future of healthcare through automation.
Qualifications:
- Education: A post-secondary engineering degree, diploma or equivalent in a quantitative field (Computer Science, Information system, Mathematics, Statistics, Machine Learning, Artificial Intelligence, Engineering). A Master’s degree is considered beneficial.
- Experience:
- Strong experience with the deployment, configuration, and operationalization of Databricks environments, including workspace architecture, cluster management, CI/CD integration, security, governance, and enterprise-scale administration.
- Experienced in building and managing modern data pipelines and lakehouse architectures using Delta Lake, Delta Live Tables, Structured Streaming, Workflows, medallion architectures (Bronze/Silver/Gold), and real-time/batch ingestion frameworks.
- Deep understanding of Databricks ecosystem components including Unity Catalog, data lineage, RBAC, monitoring/observability, cost optimization, ML/AI enablement, model serving, and secure enterprise data collaboration through Clean Rooms.
- Proven experience integrating Databricks with enterprise cloud and industrial data ecosystems, including Kafka, SQL databases, APIs, IoT/OT platforms, and cloud environments such as Azure, AWS, and GCP.
- Strong understanding of scalable data engineering, governance, multi-tenant architectures, and enterprise data platform strategies supporting analytics, AI, and operational intelligence initiatives.
- Proficiency in programming languages like Python, R, or Java.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with databases (SQL, Influx).
- Knowledge of data warehousing and ETL processes.
- Familiarity with tools like Hadoop, Spark, or Kafka.
- Experience with cloud services such as AWS, Google Cloud, or Azure.
- Understanding of software engineering principles and best practices.
- Experience with version control systems (e.g., Git).
- Ability to design and implement efficient algorithms and solutions.
- Demonstrated experience in deploying machine learning models to production.
- Experience with data visualization tools and techniques.
- Strong analytical and communication skills.
- Ability to work collaboratively in a team environment.
- Ability to communicate effectively, both orally and in writing.
- A self-starter with the ability to work as part of a team in a fast-paced environment with minimal supervision.
- In addition, the following is considered not necessary but beneficial:
- Experience with Agile development practices.
- Understanding of automation mechanical, electrical and control systems.
- Understanding of machine operation, maintenance, service and troubleshooting.
- Understanding of Machine Vision systems and solutions.
- Understanding of PLCs and PLC communication.
- Exposure and understanding of business intelligence.
Health, Safety, and Environmental:
- All employees have the responsibility to work in a safe manner and report any health, safety or environmental concern to their manager or supervisor in a timely manner.
- Work in compliance with divisional health, safety and environmental procedures.
- Refrain from removing or altering safety devices or guarding unless hazardous energies are controlled through lockout-tagout methods.
- Report any unsafe conditions or unsafe acts.
- Report defect in any equipment or protective device.
- Ensure that the required protective equipment is used for the assigned tasks.
- Attend all required health, safety and environmental training.
- Report any accidents/incidents to supervisor.
- Assist in investigating accidents/incidents.
- Refrain from engaging in any prank, contest, feat of strength, unnecessary running or rough and boisterous conduct.
Join our Innovation Center at ATS Corporation - a place to create differentiators with the future in mind. Our Innovation Center is focused on R&D; advancing existing technologies, filling gaps in existing automation products, technologies and processes to give ATS a competitive advantage.
Data Scientist in Cambridge employer: ATS Corporation
At ATS Industrial Automation, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our employees benefit from competitive salaries, comprehensive health care, and generous vacation time, alongside opportunities for professional growth through development programs and internal career advancement. Located in a vibrant community, our team enjoys engaging events and a supportive environment where their contributions directly impact the future of automation solutions in critical industries.
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We think this is how you could land Data Scientist in Cambridge
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We think you need these skills to ace Data Scientist in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at ATS Corporation, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ATS Corporation. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ATS Corporation
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
