Data scientist (marketing)

Data scientist (marketing)

Full-Time 40000 - 50000 £ / year (est.) No working from home possible
Information Tech Consultants

At a Glance

  • Tasks: Analyse data and develop machine learning models to drive marketing strategies.
  • 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 marketing through data-driven insights and innovative technology.
  • Qualifications: Master's degree in relevant fields and 2-4 years of data science experience.

The predicted salary is between 40000 - 50000 £ 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.

Data scientist (marketing) 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 Data scientist (marketing)

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python, SQL, or machine learning. This will give potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on your technical skills and common data science questions. Practice explaining your projects and the impact they had, as storytelling can really set you apart.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by hiring managers who are looking for talent like yours.

We think you need these skills to ace Data scientist (marketing)

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 Data Scientist role. Highlight your experience with Python, SQL, and any machine learning projects you've worked on. 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 fits with our needs. Keep it concise but engaging – we love a good story!

Showcase Your Projects:If you've got any cool projects or case studies, don’t hesitate to include them! Whether it's a predictive model or a data visualisation, we want to see your hands-on experience in action.

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!

How to prepare for a job interview at Information Tech Consultants

Know Your Data Tools

Make sure you’re well-versed in the data manipulation libraries like Pandas and NumPy, as well as ML libraries such as Scikit-learn and TensorFlow. Brush up on your Python and SQL skills, and be ready to discuss how you've used these tools in past projects.

Showcase Your Projects

Prepare to talk about specific projects where you've developed predictive models or worked with large datasets. Highlight your role, the challenges you faced, and the impact of your work. This will demonstrate your hands-on experience and problem-solving skills.

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. Tailoring your answers to show how you can meet their specific needs will set you apart.

Communicate Clearly

Since excellent communication skills are a must, practice explaining complex concepts in simple terms. Be prepared to discuss your thought process and how you collaborate with team members. This will showcase your teamwork abilities and make a positive impression.