Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse complex datasets, develop predictive models, and support decision-making for diverse customers.
- Company: PDI Technologies empowers global convenience retail and petroleum brands with innovative tech solutions.
- Benefits: Enjoy competitive salary, hybrid work options, and a quarterly perks programme.
- Why this job: Join a diverse team driving real impact and continuous learning in a supportive environment.
- Qualifications: Bachelor’s degree in data science or related field; 2+ years in data science or analytics.
- Other info: Mentorship opportunities available; stay updated with industry trends and best practices.
The predicted salary is between 36000 - 60000 £ 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 empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real-time market intelligence via mobile applications, such as GasBuddy. We’re a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth.
Role Overview
We are seeking a skilled and motivated Data Scientist II to join our team. In this role, you will leverage your advanced analytical skills and programming expertise to extract insights from complex datasets, develop predictive models, and support decision-making for our diverse range of customers. As a mid-level contributor, you will work on a variety of data-driven projects, collaborate with cross-functional teams, and help implement scalable solutions.
Key Responsibilities
- Data Analysis & Modelling: Analyse 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 the processes and models you create.
- Collaboration & Communication: Collaborate with stakeholders to define project goals, requirements, and deliverables. Actively participate in design meetings to help shape the solutions that the team delivers. Present findings and recommendations to technical and non-technical audiences. Acquire domain knowledge to inform modelling opportunities and model feature creation.
- Technical Leadership: Mentor junior data scientists and provide peer reviews for modelling projects. Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities.
Qualifications
- Education: Bachelor’s degree in data science, Statistics, Mathematics, or a related field.
- Experience: 2 or more years of experience in a data science or analytics role. Proven experience in building machine learning models, statistical analysis, and predictive analytics. Experience designing experiments or modelling approaches to solve a specified business problem.
- Preferred Qualifications: Proficiency in programming languages such as Python or R; knowledge of R is an advantage. Experience with SQL and working knowledge of relational databases. Proficiency with data visualisation tools and techniques. Experience with AWS is a plus. Strong problem-solving and critical-thinking abilities. Excellent communication and presentation skills. Ability to manage multiple projects and prioritize tasks effectively.
PDI is committed to offering a well-rounded benefits program, designed to support and care for you, and your family throughout your life and career. This includes a competitive salary, market-competitive benefits, and a quarterly perks program. We encourage a good work-life balance with ample time off and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all.
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 from other candidates.
✨Tip Number 2
Engage with the data science community by participating in relevant forums, attending meetups, or contributing to open-source projects. This not only enhances your knowledge but also helps you network with professionals who might provide insights or referrals for the role.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving machine learning models and data analysis. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this demonstrates your problem-solving abilities.
✨Tip Number 4
Showcase your communication skills by practising how to present complex data findings to non-technical audiences. Being able to convey your insights clearly and effectively is crucial for collaboration with stakeholders in this 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 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 your understanding of how it can drive business decisions. Mention specific projects or experiences that demonstrate your ability to analyse complex datasets and develop predictive models.
Showcase Your Technical Skills: In your application, be sure to highlight your proficiency in SQL and any experience you have with data visualisation tools. If you have worked with AWS or have experience in designing ETL pipelines, make that clear as well.
Prepare for Potential Assessments: Be ready for possible technical assessments or case studies that may be part of the application process. Brush up on your data analysis techniques and be prepared to discuss your approach to solving business problems using data.
How to prepare for a job interview at PDI Technologies
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis and modelling. Highlight specific projects where you've successfully extracted insights from complex datasets and developed predictive models. Use examples that demonstrate your problem-solving abilities.
✨Familiarise Yourself with Machine Learning
Since the role involves developing and optimising machine learning models, brush up on your knowledge of relevant algorithms and techniques. Be ready to explain your approach to building models and any challenges you faced during the process.
✨Communicate Effectively
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This is crucial as you'll need to present findings and recommendations to diverse audiences. Clear communication can set you apart from other candidates.
✨Demonstrate Collaboration Skills
PDI Technologies values teamwork, so be prepared to discuss how you've collaborated with cross-functional teams in the past. Share examples of how you contributed to project goals and how you handled differing opinions or challenges within a team setting.
