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Job Position: Graduate Data Analyst - via the Graduate Development Programme     Location: Cambridge Starting Salary: £26,800    Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject and experience in analysing data Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants.

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The research groups in RAND Europe boast a diverse portfolio, addressing key public policy challenges such as education and child welfare, health and wellbeing, geopolitical competition and national security, environment and climate change, technological innovation and disruption, among many others. Coordinate complex projects, mentor a team of talented data scientists and researchers, and drive the impact of our work through strategic communication and outreach. A track record of collaborative research and team motivation, with a focus on skills and career development. Experience applying data science methods and tools to support policy research and/or social sciences research Eligibility for UK Security Clearance (SC) or Developed Vetting (DV). Team-oriented with a commitment to rigorous research and public service. ) Benefits Please see our careers page for associate benefits for each location How to Apply If you believe you are suited to the above role, please submit an application comprising of a CV and covering letter.

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You will work closely with cross-functional teams to define and roll out the data mesh strategy, establishing the core components, standards, and governance model. Bank holidays) Pension contributions Private medical insurance Employee health and wellness discounts Cycle to Work Scheme Monthly happy hours and team lunches Lunch and learn training sessions.

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ZEISS is shaping technological progress and through its solutions is extending the horizon of the world of optics and associated areas. What you'll be doing:Working within the Research Microscopy Solutions (RMS) department, at ZEISS, we are looking for a Data Analyst to drive operational excellence using data insights and reporting expertise. We're looking for people who are empathetic and passionate, who are committed to achieving their goals, and who get excited about challenging topics.

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Job Position: Graduate Data Analyst - via the Graduate Development Programme     Location: Cambridge Starting Salary: £26,800    Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject and experience in analysing data Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants.

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ZEISS is shaping technological progress and through its solutions is extending the horizon of the world of optics and associated areas. What you'll be doing:Working within the Research Microscopy Solutions (RMS) department, at ZEISS, we are looking for a Data Analyst to drive operational excellence using data insights and reporting expertise. We're looking for people who are empathetic and passionate, who are committed to achieving their goals, and who get excited about challenging topics.

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The Data Engineer would be responsible for managing the cloud infrastructure to support our sequencing projects for both clinical analytics and BI reporting. Use ETL to help with centralisation of organisational data Ad hoc requests for engineering support from the laboratory and clinical teams. Experience configuring and managing cloud infrastructure.

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They will also utilize their skills in data engineering to support and assist with building data pipelines, integrations, and ETL (extract, transform and load) process's that will support the strategic vision and growth of the analytics function at ATS. ) • Support the team with the design and optimization of systems focused on performance and reliability • Support the team with the development and maintenance of Extract, Transform, and Load Processes (ETL's) throughout integrated systems • Assist with evaluating and implementing new data engineering tools and Technologies. , 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. The best people want to work with the best team - the best teams are diverse and inclusive teams. We offer COMPETITIVE Total Rewards - Competitive starting salaries, overtime pay eligibility, paid vacation, Employee Incentive Bonus program, comprehensive health and dental benefits including Lifestyle Spending Account, 4% RRSP matching program and optional Employee Share Purchase Program A place to BELONG: We celebrate our differences and ensure that all employees have equal opportunities for growth and development.

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