Data Science Specialist

Data Science Specialist

Full-Time 40000 - 50000 £ / year (est.) No working from home possible
Pontoon Solutions

At a Glance

  • Tasks: Transform complex data into actionable insights and develop machine learning solutions.
  • Company: Leading retail organisation focused on innovation and collaboration.
  • Benefits: Hybrid work, impactful projects, and opportunities for continuous learning.
  • Other info: Inclusive environment celebrating diversity and offering career growth.
  • Why this job: Make a real impact in the retail industry with your data science skills.
  • Qualifications: Solid foundation in machine learning, programming, and critical thinking.

The predicted salary is between 40000 - 50000 £ per year.

Join Our Client as a Data Scientist!

Location: Hybrid

Contract Type: Fixed Term Contract (6 Months) with Possible extension

Are you a data enthusiast with a flair for turning complex data into actionable insights? Do you want to make a tangible impact in the retail industry? If so, we have the perfect opportunity for you! Our client, a leading organization in the retail sector, is on the lookout for a talented Data Scientist to join their dynamic team.

About the Team:

At our client’s organization, the Data Science team is at the forefront of innovation. They tackle some of the most complex business challenges across various domains, including customer experience, supply chain, marketing, and technology. By applying advanced machine learning techniques, generative AI, and large language models, they enhance pricing strategies, optimize store operations, and personalize customer interactions. This is a collaborative environment where team members rotate across different domains, expanding their skills and impact.

As a Data Scientist, you will:

  • Develop and deploy machine learning solutions that enhance decision-making and improve customer service.
  • Design and implement robust models while experimenting with new approaches, including building data pipelines and models, evaluating model performance both statistically and in terms of business impact, and scaling solutions into production.
  • Translate business problems into effective data science solutions, including building data pipelines and evaluating model performance.
  • Collaborate with Machine Learning Engineers and Software Engineers to ensure efficient, maintainable solutions that align with organizational technology standards.
  • Communicate complex ideas clearly to non-technical stakeholders, contributing to knowledge sharing within the organization and representing them in the external data science community.

What You’ll Need:

  • A solid foundation in machine learning, statistics, and programming.
  • Intellectual curiosity and critical thinking skills, with a scientific mindset focused on achieving business impact.
  • The ability to translate challenging business problems into clear data science solutions.
  • Extensive experience in designing and implementing models using Python, particularly in large-scale distributed computing environments.
  • Strong coding practices, including version control and testing.
  • A proactive approach to learning new methods and contributing to a culture of collaboration.
  • A higher degree in a quantitative discipline (e.g., Mathematics, Computer Science, Engineering, or Physics) is preferred, though equivalent experience is also valued.
  • Hands-on experience with advanced machine learning libraries.

Why Join Us?

  • Impactful Work: Your contributions will directly influence business decisions and customer experiences.
  • Dynamic Environment: Enjoy a culture of innovation and continuous learning.
  • Collaborative Team: Work alongside passionate professionals who are eager to share knowledge and support one another.
  • Career Growth: Gain exposure across various domains and expand your expertise.

If you’re ready to take on this exciting challenge and make a difference in the retail industry, we’d love to hear from you! Apply now and become a part of our client’s journey toward data-driven excellence!

Our client is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Data Science Specialist employer: Pontoon Solutions

Our client is a leading organisation in the retail sector, offering a dynamic and collaborative work environment where data enthusiasts can thrive. With a strong focus on innovation, employees have the opportunity to make a tangible impact through their contributions, while enjoying career growth and continuous learning across various domains. The company values diversity and inclusivity, ensuring that all team members feel respected and supported in their professional journey.

Pontoon Solutions

Contact Details:

Pontoon Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Science Specialist

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 that demonstrate your ability to solve real business problems. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on your technical skills and practising common data science interview questions. Be ready to discuss your past projects and how they relate to the role you're applying for.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to make an impact in the retail industry.

We think you need these skills to ace Data Science Specialist

Machine Learning
Statistics
Python
Data Pipelines
Model Evaluation
Large-Scale Distributed Computing
Version Control

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Science role. Highlight your experience with machine learning, Python, and any relevant projects that showcase your skills. We want to see how you can turn complex data into actionable insights!

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 aligns with our client's needs. Keep it engaging and personal – we love a good story!

Showcase Your Projects:If you've worked on any interesting data science projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see how you've applied your skills in real-world scenarios.

Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can't wait to see what you bring to the table!

How to prepare for a job interview at Pontoon Solutions

Know Your Data Science Fundamentals

Brush up on your machine learning, statistics, and programming skills. Be ready to discuss how you've applied these concepts in real-world scenarios, especially using Python. This will show that you have a solid foundation and can tackle the challenges they face.

Prepare for Technical Questions

Expect questions about designing and implementing models, as well as evaluating their performance. Practice explaining your thought process clearly, as you'll need to communicate complex ideas to non-technical stakeholders. Use examples from your past work to illustrate your points.

Showcase Your Problem-Solving Skills

Be prepared to translate business problems into data science solutions. Think of specific instances where you've successfully tackled challenges using data-driven approaches. Highlight your intellectual curiosity and critical thinking skills during the conversation.

Emphasise Collaboration and Learning

Since the role involves working closely with Machine Learning Engineers and Software Engineers, share experiences that demonstrate your ability to collaborate effectively. Also, express your proactive approach to learning new methods and contributing to a culture of teamwork.