BI Data Modeler

BI Data Modeler

Full-Time 45000 - 55000 £ / year (est.) No working from home possible
Information Tech Consultants

At a Glance

  • Tasks: Create and deploy machine learning models while working with exciting datasets.
  • Company: Join a leading IT management firm in the heart of London.
  • Benefits: Full-time role with competitive salary and opportunities for growth.
  • Other info: Collaborative team environment with potential travel across the UK.
  • Why this job: Make an impact in data science and work on innovative projects.
  • Qualifications: Master's degree and 2-4 years of experience in data science required.

The predicted salary is between 45000 - 55000 £ per year.

Location: UK

Experience: 2–5 years

Education: Master's in Science (IT/Computer Science/Engineer)

Employment Type: Full-Time

UK based candidates only.

Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies.

Required Skills:

  • 2-4 years of experience in Data science/Machine learning models from coding to deployment.
  • Work with datasets using Python or R, SQL, No SQL.
  • Assist in developing predictive and statistical models.
  • Write and optimize queries using SQL.
  • Familiarity with data manipulation libraries (Pandas, NumPy), understanding of statistics and probability.
  • Hands-on experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch.

Preferred Skills:

  • Hands-on experience in coding (mandatory python and SQL or C++).
  • Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning.
  • Familiarity working with large data sets.
  • Project Management background preferred.

Qualifications:

  • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2-4 years of experience in Information Technology.
  • You should be entitled to work in the UK with legal work authorization status.
  • Must be willing to travel within the UK as per project/client requirements.
  • Excellent communication skills and teamwork skills.

BI Data Modeler employer: Information Tech Consultants

Information Tech Consultants Ltd (ITC) is an exceptional employer located in the heart of Central London, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, ITC provides ample opportunities for professional development through hands-on experience with cutting-edge technologies in data science and machine learning. The company's commitment to a supportive environment ensures that employees can thrive while contributing to impactful projects within the fast-paced IT sector.

Information Tech Consultants

Contact Details:

Information Tech Consultants Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land BI Data Modeler

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that BI Data Modeler role.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python, SQL, and machine learning models. We want to see your hands-on experience in action!

Tip Number 3

Prepare for interviews by brushing up on your technical skills and common interview questions related to data science. We recommend practicing coding challenges and discussing your past projects to impress potential employers.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can give you an edge. Let’s get you that dream job together!

We think you need these skills to ace BI Data Modeler

Data Science
Machine Learning
Python
R
SQL
No SQL
Predictive Modelling

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the BI Data Modeler role. Highlight your experience with data science and machine learning, especially any hands-on work with Python, SQL, or relevant libraries. We want to see how your skills match what we're looking for!

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 your background makes you a great fit for our team. Keep it concise but engaging – we love a good story!

Showcase Your Projects:If you've worked on any cool projects, make sure to mention them! Whether it's a predictive model or a data manipulation task, we want to see your practical experience. Include links to your GitHub or any relevant portfolios if you have them.

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 the role. Plus, it’s super easy – just follow the prompts and submit your materials!

How to prepare for a job interview at Information Tech Consultants

Know Your Tech Inside Out

Make sure you brush up on your Python, SQL, and any ML libraries like Scikit-learn or TensorFlow. Be ready to discuss your hands-on experience with these tools, as well as how you've used them in past projects.

Showcase Your Problem-Solving Skills

Prepare to talk about specific challenges you've faced in data science or machine learning. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.

Understand the Company’s Needs

Research Information Tech Consultants Ltd and their clients. Understand the types of projects they handle and think about how your skills can contribute to their success. Tailor your responses to show that you’re a great fit for their specific needs.

Communicate Clearly and Confidently

Since excellent communication skills are a must, practice explaining complex concepts in simple terms. Be prepared to discuss your teamwork experiences and how you’ve collaborated with others to achieve project goals.