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For Companies At a Glance
- Tasks: Analyse complex datasets, develop predictive models, and support decision-making for diverse customers.
- Company: Join PDI Technologies, a leader in tech solutions for convenience retail and petroleum brands.
- Benefits: Enjoy competitive salary, hybrid work options, and a quarterly perks programme.
- Why this job: Be part of a diverse team driving real impact with cutting-edge technology and collaborative culture.
- Qualifications: Bachelor’s degree in data science or related field; 2+ years in data science or analytics.
- Other info: Opportunities for continuous learning, professional certifications, and leadership development.
The predicted salary is between 28800 - 48000 ÂŁ 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 is R 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 (time away) 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.
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Data Scientist II (TBH5177) employer: Wealth Enhancement Group
Contact Detail:
Wealth Enhancement Group 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 that showcase 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, webinars, or local meetups. Networking with professionals in the field can provide insights into industry trends and may even lead to referrals for the position.
✨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 both technical and non-technical audiences. Being able to convey your insights clearly will be crucial in a collaborative environment like PDI Technologies.
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 qualifications 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 team.
Showcase Your Technical Skills: In your application, emphasise your proficiency in SQL and any experience with data visualisation tools. If you have worked with AWS or have knowledge of ETL processes, be sure to include that as well, as it will demonstrate your technical capabilities.
Prepare for Potential Assessments: Be ready for possible technical assessments or case studies during the interview process. Brush up on your data analysis techniques and be prepared to discuss your approach to solving business problems using data-driven insights.
How to prepare for a job interview at Wealth Enhancement Group
✨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 programming skills, especially in Python or R, as well as SQL. Be ready to answer technical questions or even solve coding challenges during the interview.
✨Communicate Clearly
Practice explaining your findings and methodologies in a way that both technical and non-technical audiences can understand. This will show 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 these scenarios, including the tools and methods you would use.
