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- Tasks: Deliver expert data science insights and enhance predictive models for real-world applications.
- Company: Join Synectics, a leader in innovative data-driven solutions with a collaborative culture.
- Benefits: Enjoy flexible working, comprehensive perks, and a supportive environment for personal and professional growth.
- Why this job: Make a real impact in the Data Science field while working on cutting-edge analytics projects.
- Qualifications: Passion for Data Science, strong communication skills, and proficiency in Python, R, and SQL.
- Other info: 12-month fixed-term contract with opportunities for continuous learning and development.
The predicted salary is between 36000 - 60000 £ per year.
Why Synectics? For over 30 years, Synectics has been at the forefront of delivering innovative, data-driven business solutions. We specialise in developing advanced data management systems and software products for renowned organizations across the globe. The continued success and growth of our multi-award-winning Precision product is a testament to our commitment to excellence and innovation in the Data Science space.
Benefits
- Flexible Working: A mix of in office and working from home.
- Culture That Supports Growth: We're proud of the collaborative and inclusive environment we've cultivated, where employees can thrive both professionally and personally.
- Comprehensive Benefits: A suite of perks designed to make life easier both in and out of the workplace.
About the Role
We are seeking a motivated and enthusiastic Data Scientist to join our growing team. This is a fantastic opportunity to apply and deepen your predictive modelling expertise in a real-world setting. You'll play a key role in driving insight and value for both internal stakeholders and external clients through advanced analytics. As part of our dedicated Data Science team, you'll help shape the future of our analytical products and services, particularly in support of the Precision platform, while also contributing to continuous R&D efforts.
Key Responsibilities
- Deliver expert data science insights to support departments across the business.
- Continuously assess, deploy and recalibrate predictive models to enhance solution quality for clients.
- Maintain awareness of predictive analytics algorithms, trends & technologies to help identify ways in which we can continuously improve the services we offer.
- Evaluate and experiment with new data sources, algorithms & technologies to strengthen our data science capabilities.
- Apply Data Science methodologies across various industries and use cases to deliver measurable real-world cost, efficiency and quality improvements.
- Build models aligned with our internal governance and ethical standards.
What We're Looking For:
- A strong passion for Data Science and Analytics.
- Clear and confident communication skills (written and verbal).
- A blend of technical know-how and creativity in model development.
- A curious, investigative mindset to explore and test feature engineering techniques.
- Excellent attention to detail and data quality.
- Ability to work both independently and collaboratively in a team environment.
- Skilled in Python & R language.
- Solid knowledge of SQL.
- Experience working with AWS Public Cloud environments.
- Knowledge of DataBricks would be advantageous.
This role is a 12 month fixed term contract.
Data Scientist in Stoke-on-Trent employer: Synectics Solutions Ltd
Contact Detail:
Synectics Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Stoke-on-Trent
✨Tip Number 1
Network like a pro! Reach out to current employees at Synectics on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving predictive modelling. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your Python, R, and SQL skills before the interview. You might even want to tackle some real-world problems to discuss during your chat with the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Synectics family.
We think you need these skills to ace Data Scientist in Stoke-on-Trent
Some tips for your application 🫡
Show Your Passion: Let your enthusiasm for Data Science shine through in your application. We want to see that you’re not just ticking boxes, but genuinely excited about the role and what we do at Synectics.
Tailor Your CV: Make sure your CV is tailored to highlight your relevant skills and experiences. Focus on your predictive modelling expertise and any projects that showcase your ability to deliver insights and value.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our team. Be clear and confident in your communication, and don’t forget to mention how you can contribute to our Precision platform.
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 and shows us you’re serious about joining our team!
How to prepare for a job interview at Synectics Solutions Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your predictive modelling techniques and algorithms. Be ready to discuss how you've applied these in real-world scenarios, especially if you can relate them to the Precision platform or similar projects.
✨Show Off Your Communication Skills
Since clear communication is key, practice explaining complex data concepts in simple terms. Think about how you would present your findings to non-technical stakeholders, as this will demonstrate your ability to bridge the gap between data science and business needs.
✨Be Curious and Investigative
Prepare to showcase your curiosity! Have examples ready of how you've explored new data sources or experimented with different algorithms. This will highlight your proactive approach to improving data science capabilities.
✨Familiarise Yourself with Their Tech Stack
Get to know the tools and technologies mentioned in the job description, like Python, R, SQL, and AWS. If you have experience with DataBricks, make sure to mention it. Showing that you're comfortable with their tech stack will give you an edge.