At a Glance
- Tasks: Analyse complex datasets and develop predictive models to drive business decisions.
- Company: Join PDI Technologies, a leader in tech solutions for convenience retail and petroleum brands.
- Benefits: Enjoy competitive salary, market benefits, and a flexible work-life balance.
- Other info: Access continuous learning and professional development opportunities in a supportive culture.
- Why this job: Make a real impact with data while working in a diverse and inclusive environment.
- Qualifications: Bachelor’s degree in data science or related field; programming skills in Python or R.
The predicted salary is between 63000 - 77000 £ 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 Gas Buddy.
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 I 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 junior contributor, you will work on a variety of data-driven projects and help implement scalable solutions.
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 preprocessing.
- Develop automated tests to validate the processes and models you create.
Collaboration & Communication
- 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
Education
- Bachelor’s degree in data science, Statistics, Mathematics, or a related field.
Experience
- Experience designing experiments or modelling approaches to solve a specified problem.
Technical Skills
- Proficiency in programming languages such as Python or R; knowledge of is R an advantage.
- Experience with SQL and working knowledge of relational databases.
- Proficiency with data visualisation tools and techniques.
- Experience with AI tools such as Claude Code - ideally also agentic AI
- Experience with AWS is a plus.
Soft Skills
- Strong problem-solving and critical-thinking abilities.
- Excellent communication and presentation skills.
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 [time away] and, where appropriate, hybrid working arrangements.
Employees have access to continuous learning, professional certificates, 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.
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Data Scientist I (BF5838) in Maidenhead employer: Pditechnologies
PDI is an excellent employer for Field Service Engineers, offering a dynamic work environment in Leeds that fosters collaboration and innovation. With a strong emphasis on employee growth, you will have access to ongoing training and development opportunities, ensuring you stay at the forefront of technology in the payment solutions sector. Our supportive work culture prioritises teamwork and customer satisfaction, making it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist I (BF5838) in Maidenhead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Pditechnologies!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist I (BF5838) at Pditechnologies.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Pditechnologies.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist I (BF5838) at Pditechnologies, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist I (BF5838) in Maidenhead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Pditechnologies, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Pditechnologies. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Pditechnologies
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Pditechnologies!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
