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- Tasks: Design and implement machine learning models to tackle real-world business challenges.
- Company: Join a forward-thinking team dedicated to innovation and data-driven solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a tangible impact by leveraging cutting-edge technology in a collaborative environment.
- Qualifications: Proficiency in Python or R, with a strong grasp of machine learning principles.
- Other info: Dynamic workplace with excellent career advancement potential.
The predicted salary is between 28800 - 48000 £ per year.
We are seeking a highly skilled and dedicated individual to join our team as a Machine Learning Model Builder. In this role, you will be responsible for designing and implementing machine learning models to solve complex business problems and drive innovation. You will work closely with our data science team to understand the data, develop models, and integrate them into our existing systems. This role requires a deep understanding of machine learning algorithms, statistical concepts, and the ability to translate these into practical applications.
Responsibilities
- Develop, implement, and validate machine learning models.
- Analyze large and complex data sets to derive valuable insights.
- Collaborate with cross-functional teams to understand business needs and objectives.
- Continuously monitor, validate, and improve the performance of machine learning models.
Required Skills
- Proficiency in Python, R, or other programming languages used in machine learning.
- Strong knowledge of machine learning algorithms and principles.
- Experience with data modeling and evaluation.
- A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field with a focus on Machine Learning; a Master's degree or Ph.D. is preferred.
Preferred Skills
- Familiarity with deep learning frameworks such as TensorFlow or Keras.
- Experience with natural language processing.
- Knowledge of cloud platforms like AWS, Google Cloud, or Azure.
- Proficiency in SQL and database management.
- Experience with big data platforms like Hadoop or Spark.
- Familiarity with data visualization tools such as Tableau or PowerBI.
- Understanding of reinforcement learning.
- Knowledge of neural networks.
- Experience with distributed computing.
- Familiarity with software development methodologies like Agile or Scrum.
Data Scientist employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. Attend meetups or webinars related to machine learning to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repository or a personal website, having tangible examples of your work can really impress hiring managers and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, R, and machine learning algorithms. Practise explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with cross-functional teams.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. Tailor your application to highlight how your skills align with our needs, and show us why you're the perfect fit for the role.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: In your application, don’t just list your skills—show us how you’ve used them! Whether it’s Python, R, or any machine learning frameworks, give us examples of how you’ve applied these in real-world scenarios.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. We love seeing enthusiasm and a good fit for our culture.
Apply Through Our Website: We encourage you to apply through our website for the best experience. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at N Consulting Limited
✨Know Your Algorithms
Brush up on your machine learning algorithms and be ready to discuss how you've applied them in real-world scenarios. Be prepared to explain the reasoning behind your choices and how they impacted the outcomes.
✨Data Storytelling
Practice presenting your data analysis as a story. Interviewers love to see how you can derive insights from complex data sets and communicate them effectively. Use examples from your past work to illustrate your points.
✨Collaborative Mindset
Since this role involves working with cross-functional teams, be ready to discuss how you've collaborated with others in the past. Highlight your communication skills and how you’ve adapted your technical knowledge to meet business needs.
✨Hands-On with Tools
Familiarise yourself with the tools mentioned in the job description, like TensorFlow, SQL, or cloud platforms. If you have experience with any of these, be sure to mention specific projects where you used them to solve problems.
