At a Glance
- Tasks: Develop and maintain data solutions to support business performance and decision-making.
- Company: Leading manufacturing environment with a high-performing data team.
- Benefits: Competitive rate, flexible hours, and potential for contract extension.
- Other info: Collaborative culture with opportunities for professional growth.
- Why this job: Make an immediate impact on critical data and analytics projects.
- Qualifications: 3-5 years in data science, strong Python and SQL skills required.
The predicted salary is between 66000 - 66000 £ per year.
We are seeking an experienced Data Scientist / Data Analyst Programmer to join a high-performing team supporting data, analytics, automation, and business intelligence initiatives within a leading manufacturing environment. This is an excellent opportunity for a data professional who enjoys working across the full data lifecycle, from data engineering and integration through to analytics, reporting, and process automation. You'll play a key role in delivering data-driven solutions that support business performance and decision-making.
The Role
Working within a multidisciplinary team of data scientists, engineers, developers, analysts, and project managers, you will be responsible for developing and maintaining data solutions that support operational and strategic business objectives.
Key Responsibilities
- Data Engineering & Management
- Develop and maintain ETL/ELT pipelines using Python, SQL, and Snowflake.
- Cleanse, validate, transform, and manage enterprise data.
- Support scheduled data loads and data quality processes.
- Maintain data governance standards and technical documentation.
- Analytics & Reporting
- Create and maintain datasets for reporting and business analysis.
- Support KPI development and analytical modelling activities.
- Investigate and resolve data and reporting issues.
- Deliver insights that support business decision-making.
- Automation & Application Development
- Develop dashboards and workflows using Power BI, Power Apps, and Power Automate.
- Support Salesforce CRM data integration activities.
- Identify and implement opportunities to improve efficiency through automation.
- Stakeholder Collaboration
- Work closely with technical and business stakeholders across multiple functions.
- Support project delivery and continuous improvement initiatives.
- Contribute to a collaborative and data-driven working environment.
Required Skills & Experience
- 3–5+ years' experience in data science, analytics, data engineering, automation, or a related discipline.
- Strong Python programming skills.
- Hands-on experience with SQL and Snowflake.
- Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate).
- Experience working with CRM data, ideally Salesforce.
- Good understanding of data modelling, data quality, and analytics principles.
- Strong problem-solving and analytical skills.
- Excellent communication and stakeholder management abilities.
Desirable Skills
- Exposure to machine learning or advanced analytics techniques.
- Experience working with cloud-based data platforms.
- Relevant technical certifications.
What's on Offer?
- £334 per day Inside IR35.
- Initial 12-month contract with potential for extension.
- Opportunity to work on business-critical data and analytics projects.
- Exposure to a wide range of modern data, reporting, and automation technologies.
- Collaborative team environment with opportunities to make an immediate impact.
- Flexible start and finish times within a 37.5-hour working week.
If you are a proactive data professional with a passion for delivering high-quality analytics and automation solutions, we'd love to hear from you.
Data Scientist in Larne employer: 83zero
Join a dynamic team in Larne, Northern Ireland, where your expertise as a Data Scientist will be valued in a collaborative and innovative manufacturing environment. With a focus on employee growth, you'll have the opportunity to work with cutting-edge technologies while contributing to impactful data-driven solutions that enhance business performance. Enjoy a flexible working schedule and the chance to make a significant difference in a supportive workplace culture that prioritises continuous improvement and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Larne
✨Network Like a Pro
Get out there and connect with people in the data science field! Attend meetups, webinars, or even local events. You never know who might have a lead on that perfect job or can give you insider tips about the company.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Python, SQL, and Power BI. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Ace the Interview
Prepare for common data science interview questions and be ready to discuss your past experiences. Practice explaining your thought process when solving problems, as this will show your analytical skills and how you approach challenges.
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings! Applying directly through us not only streamlines the process but also gives you a better chance of being noticed by hiring managers.
We think you need these skills to ace Data Scientist in Larne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science and analytics. Use keywords from the job description to show that you’re a perfect fit for the role. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data and how your previous experiences have prepared you for this role. Don’t forget to mention why you’re excited about joining our team at StudySmarter.
Showcase Your Projects:If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s a personal project or something from your previous job, we love seeing practical examples of your skills in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team!
How to prepare for a job interview at 83zero
✨Know Your Data Tools
Make sure you brush up on your Python, SQL, and Snowflake skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your analytical thinking and problem-solving abilities. Think of situations where you identified a data issue and how you resolved it, especially in a collaborative environment.
✨Understand the Business Context
Familiarise yourself with the manufacturing industry and how data impacts business decisions. Being able to connect your technical skills to real-world applications will impress the interviewers.
✨Communicate Effectively
Practice explaining complex data concepts in simple terms. Since you'll be working with various stakeholders, demonstrating your communication skills can set you apart from other candidates.
