At a Glance
- Tasks: Join a new Big Data team and drive innovative projects with cutting-edge technology.
- Company: Award-winning Global Software House investing in R&D and employee development.
- Benefits: Competitive salary, impressive benefits package, and modern office facilities.
- Other info: Dynamic work environment with excellent career growth opportunities.
- Why this job: Make an impact by working with data from thousands of devices and applying machine learning.
- Qualifications: Experience in Big Data, Machine Learning, and tools like Kafka and Hadoop.
The predicted salary is between 50000 - 65000 £ per year.
Location: East Midlands
Industry: IT
Salary: £50000 - £65000 per annum + Good benefits package
Posted: 08/01/2020
Overview:
- Machine Learning, Big Data Engineer, Analytics, Kafka, Cassandra, Hadoop, Spark, Zookeeper, .Net Core, Azure, DevOps, Big Data Administration, Disaster Recovery
Key Responsibilities and Qualifications:
- Experience in working with Big Data and/or Machine Learning
- Experience of Kafka or similar
- Join a brand-new Big Data Team
- Work for an Award-winning Global Software House who is expanding
- Opportunity to make the role your own and drive Big Data through the business
- Work with data from thousands+ devices, focusing on data ingest, data movement, and data consumption pipelines
- Generate insight by applying computational intelligence, optimisation, and big data analytics techniques
- Kafka administration and monitoring using JMX
- High-performance stream processing
- Hadoop ecosystem (essentially HDFS and Hive)
- Desirable: Spark, Zookeeper, Oozie, NiFi
- High-performance Asynchronous Kafka communication from .NET
- Microservice architectural patterns
- Automated testing
Company:
Our Global client has multiple locations around the world. With around 300+ employees, they invest heavily every year in Research & Development ensuring their products remain at the forefront of technology and have a ring-fenced training budget offering all staff continual personal development opportunities. Occupying modern office facilities with free parking, commutable from Leicester, Nottingham, and Derby. Accessible by public transport.
Salary is up to £55-65K + an impressive benefits package.
Legal Statement:
Candidates of all ages and backgrounds will be considered for this role.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer – Big Data
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ascent People Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Machine Learning Engineer – Big Data at Ascent People Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ascent People Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Engineer – Big Data at Ascent People Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Machine Learning Engineer – Big Data
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ascent People Ltd, 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 Ascent People Ltd. 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 Ascent People Ltd
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ascent People Ltd!
✨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.
