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For Companies At a Glance
- Tasks: Analyse complex datasets, develop predictive models, and support decision-making for diverse customers.
- Company: PDI Technologies empowers leading convenience retail and petroleum brands with innovative tech solutions.
- Benefits: Enjoy competitive salary, hybrid work options, ample time off, and continuous learning opportunities.
- Why this job: Join a diverse team making a real impact while developing your skills in a supportive environment.
- Qualifications: Bachelor's degree in data science or related field; 2+ years of experience in data science roles.
- Other info: Mentorship opportunities available; stay updated with industry trends and best practices.
The predicted salary is between 28800 - 48000 £ per year.
At PDI Technologies, we empower some of the world\’s leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency.
By \”Connecting Convenience\” across the globe, we enable businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and real-time market intelligence via mobile applications like GasBuddy. We are a global team committed to excellence, collaboration, and making a real impact. Explore our opportunities and join a company that values diversity, integrity, and growth.
Role Overview
We are seeking a skilled and motivated Data Scientist II to join our team. You will leverage your analytical skills and programming expertise to extract insights from complex datasets, develop predictive models, and support decision-making for our diverse customers. As a mid-level contributor, you will work on various data-driven projects, collaborate with cross-functional teams, and help implement scalable solutions.
Key Responsibilities
- Data Analysis & Modelling:
- Analyze large, complex datasets to identify trends, patterns, and actionable insights.
- Develop, implement, and optimize machine learning models to solve business problems.
- Conduct A/B testing and experimental analysis to validate hypotheses.
- Data Management & Engineering:
- Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency.
- Design and develop ETL pipelines and workflows for data pre-processing.
- Develop automated tests to validate processes and models.
- Collaboration & Communication:
- Work with stakeholders to define project goals, requirements, and deliverables.
- Participate in design meetings to shape team solutions.
- Present findings and recommendations to both technical and non-technical audiences.
- Acquire domain knowledge to inform modelling opportunities and feature creation.
- Technical Leadership:
- Mentor junior data scientists and review modelling projects.
- Stay updated with industry trends, tools, and best practices to improve team capabilities.
Qualifications
- Bachelor\’s degree in data science, Statistics, Mathematics, or related field.
- At least 2 years of experience in data science or analytics roles.
- Proven experience in building machine learning models, statistical analysis, and predictive analytics.
- Experience designing experiments or modelling approaches to solve business problems.
Preferred Qualifications
- Proficiency in Python or R; knowledge of R is advantageous.
- Experience with SQL and relational databases.
- Proficiency with data visualization tools and techniques.
- Experience with AWS is a plus.
- Strong problem-solving and critical-thinking skills.
- Excellent communication and presentation abilities.
- Ability to manage multiple projects and prioritize effectively.
PDI is committed to offering a comprehensive benefits program, including competitive salary, benefits, and a quarterly perks program. We promote work-life balance with ample time off and hybrid working options where suitable. Employees have access to continuous learning, certifications, and leadership development. Our culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diverse perspectives, creating a supportive environment for all.
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Data Scientist II (TBH5177) employer: PDI Technologies
Contact Detail:
PDI Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist II (TBH5177)
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, R, SQL, and AWS. Having hands-on experience or projects showcasing your skills with these technologies can set you apart during the interview process.
✨Tip Number 2
Prepare to discuss your previous data analysis and modelling experiences in detail. Be ready to share specific examples of how you've developed machine learning models or conducted A/B testing, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 3
Showcase your collaboration skills by preparing examples of how you've worked with cross-functional teams in the past. Highlight any experiences where you communicated complex data insights to non-technical stakeholders, as this is crucial for the role.
✨Tip Number 4
Stay updated on industry trends and best practices in data science. Being able to discuss recent advancements or tools in the field during your interview can demonstrate your commitment to continuous learning and your passion for the role.
We think you need these skills to ace Data Scientist II (TBH5177)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly focusing on your skills in machine learning, statistical analysis, and programming languages like Python or R. Use keywords from the job description to align your experience with what PDI Technologies is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background aligns with PDI Technologies' mission. Mention specific projects where you've successfully analysed complex datasets or developed predictive models, and express your enthusiasm for contributing to their innovative solutions.
Showcase Your Technical Skills: In your application, emphasise your proficiency in SQL, data visualisation tools, and any experience with AWS. Consider including links to your GitHub or portfolio where you can demonstrate your work on relevant projects or models.
Prepare for Interviews: If selected for an interview, be ready to discuss your previous projects in detail. Prepare to explain your thought process in data analysis, model development, and how you approach problem-solving. Also, think about how you would communicate complex data insights to non-technical stakeholders.
How to prepare for a job interview at PDI Technologies
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've analysed complex datasets in the past. Highlight any predictive models you've developed and the impact they had on decision-making.
✨Demonstrate Technical Proficiency
Make sure to brush up on your Python or R skills, as well as SQL. Be ready to answer technical questions or even solve problems on the spot to showcase your programming expertise.
✨Communicate Clearly
Practice explaining your findings and methodologies in a way that both technical and non-technical audiences can understand. This will demonstrate your ability to collaborate effectively with cross-functional teams.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical business problems using data. Think about how you would approach A/B testing or designing experiments to validate your hypotheses.
