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For Companies At a Glance
- Tasks: Apply your data science skills to drive insights and enhance predictive models.
- Company: Join Synectics, a leader in innovative data-driven solutions for over 30 years.
- Benefits: Enjoy flexible working, a supportive culture, and comprehensive perks.
- Why this job: Make a real impact on advanced analytics and shape the future of our products.
- Qualifications: Passion for data science, strong communication skills, and proficiency in Python & R.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 28800 - 48000 £ 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 will 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 (12 month FTC) employer: Synectics Solutions Ltd
Contact Detail:
Synectics Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (12 month FTC)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Synectics on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your Python and R skills. Be ready to discuss your past projects and how you've used predictive modelling to solve real-world problems. Show them your passion for Data Science!
✨Tip Number 3
Don’t just focus on technical skills; highlight your communication abilities too. Being able to explain complex data insights in simple terms is key. Practice explaining your work to someone outside of your field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Synectics. Let’s get you that Data Scientist role!
We think you need these skills to ace Data Scientist (12 month FTC)
Some tips for your application 🫡
Show Your Passion for Data Science: Let your enthusiasm for data science shine through in your application. We want to see how your passion aligns with our innovative approach at Synectics, so don’t hold back on sharing your experiences and projects that fuel your interest!
Tailor Your Application: Make sure to customise your CV and cover letter to highlight the skills and experiences that match the job description. We love seeing candidates who take the time to connect their background with what we’re looking for in a Data Scientist.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and structure your thoughts logically. We appreciate well-organised applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
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 science concepts in simple terms. Think about how you would present your findings to non-technical stakeholders and be prepared to demonstrate this during the interview.
✨Be Curious and Investigative
Prepare some questions that show your curiosity about the role and the company. Ask about their current data sources, the technologies they use, or how they approach feature engineering. This will highlight your investigative mindset and genuine interest.
✨Familiarise Yourself with Their Tools
If you have experience with Python, R, SQL, or AWS, make sure to mention specific projects where you used these tools. If you know anything about DataBricks, even better! Showing that you're already familiar with their tech stack can give you an edge.
