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- Tasks: Develop algorithms and predictive models using advanced techniques in a collaborative environment.
- Company: Join a dynamic team delivering mission-critical communication solutions to clients.
- Benefits: Enjoy a hybrid working policy with flexible office days and opportunities for professional growth.
- Why this job: Be part of an innovative culture that values creativity and continuous learning in data science.
- Qualifications: Bachelor’s in STEM, strong skills in Python/R, and experience in data science required.
- Other info: Ideal for those passionate about solving complex problems and improving technology.
The predicted salary is between 28800 - 48000 £ per year.
As a Data Scientist, you will develop sophisticated algorithms and predictive models, leveraging a broad spectrum of techniques from mathematical and statistical methods to advanced machine learning approaches. You will be working alongside DevOps and software development teams to ensure seamless integration and efficacy of your models to our clients software to deliver mission-critical communications solutions for customers.
This is an office-based vacancy and as such we expect all applicants to be willing to commute to our offices a minimum of 3-4 days per week as per our hybrid working policy.
Key Responsibilities
- Data Science & Software Development
- Craft and refine predictive models using a diverse array of methods, including but not limited to linear programming, heuristic algorithms, and machine learning techniques.
- Solve complex problems using statistical techniques and data analysis.
- Stay abreast of current research and integrate relevant findings into your work.
- Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods.
- Develop algorithms and code, primarily using Python and R, and integrate these into our products.
- Conduct research to develop prototypes and proof of concepts.
- Work within an agile team to develop applications to meet product/customer requirements.
- Thoroughly test algorithms or developments to make sure they perform the desired task correctly in all cases.
- Work with Quality Assurance teams/processes to validate builds ready for launch.
Maintenance & improvement
- Problem solve and fix bugs as discovered/reported.
- Address and resolve any issues that arise post-deployment.
- Perform ongoing maintenance or upgrade of the platform as required, following internal change procedures at all times.
- Share ideas and work on projects for improving applications, process or the wider platform.
- Review projects/deployments and learn lessons to improve future performance.
- Stay up to date with data science literature and technological advancements. Learn and test new technologies, frameworks, research paper and languages as relevant.
About You
- Bachelor’s Degree in a STEM subject, preferably from a Russell Group University.
- Strong mathematical and statistical background; expertise in Python and R, including libraries like Numpy, Pandas, Pytorch and Scikit-learn.
- Demonstrable experience in data science and a proven track record in developing predictive models.
- Experience contributing to a software project / product.
- Experience with databases.
- A post-graduate degree in Data Science or a related field
- Experience with source control, in particular Git.
- Experience working within an agile environment, in particular Scrum, and applying supporting practices.
- Experience with C# and Microsoft SQL Server.
- Good experience in database technologies, such as Microsoft SQL Server.
- Experience in developing containerising applications with Docker and using orchestration such as Kubernetes.
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Data Scientist employer: JAM IT Consultancy Ltd
Contact Detail:
JAM IT Consultancy Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science and machine learning. Follow relevant blogs, attend webinars, and participate in online forums to stay updated. This knowledge will not only help you in interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the data science community. Attend meetups or conferences where you can connect with current Data Scientists. Building relationships can lead to referrals and insider information about job openings at StudySmarter.
✨Tip Number 3
Showcase your skills through personal projects or contributions to open-source software. Create a portfolio that highlights your predictive models and algorithms, especially those developed using Python and R. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm problems. Use platforms like LeetCode or HackerRank to sharpen your skills. Being well-prepared will boost your confidence and improve your chances of impressing our hiring team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data science, particularly your expertise in Python and R. Include specific projects where you've developed predictive models or worked with statistical techniques.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how your skills align with the company's needs. Mention your experience with agile methodologies and any relevant technologies like Docker or Kubernetes.
Showcase Your Projects: If you have a portfolio of projects or contributions to software products, include links or descriptions in your application. Highlight any prototypes or proof of concepts you've developed that demonstrate your problem-solving abilities.
Prepare for Technical Questions: Anticipate technical questions related to algorithms, statistical methods, and data analysis during the interview process. Brush up on your knowledge of libraries like Numpy and Scikit-learn, as well as your understanding of machine learning techniques.
How to prepare for a job interview at JAM IT Consultancy Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and R, especially the libraries mentioned in the job description. Bring examples of predictive models you've developed and be ready to explain the algorithms and techniques you used.
✨Demonstrate Problem-Solving Abilities
Expect to face technical questions that assess your problem-solving skills. Practice explaining how you approach complex data challenges and the statistical methods you employ to derive solutions.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working within an agile team, brush up on Scrum practices and be ready to discuss your experience in agile environments. Highlight any relevant projects where you contributed to software development.
✨Stay Updated on Data Science Trends
Research recent advancements in data science and be prepared to discuss how they could apply to the company's work. Showing that you're proactive about learning can set you apart from other candidates.
