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- Tasks: Lead data science projects, applying machine learning to solve complex problems.
- Company: Join a dynamic team in Bristol, focused on innovative data solutions.
- Benefits: Enjoy hybrid work flexibility and competitive salary based on experience.
- Why this job: Be part of impactful projects in a collaborative environment with growth opportunities.
- Qualifications: Degree in a numerate field; strong skills in Python, R, and data handling required.
- Other info: Experience in Defence industry and familiarity with Agile methods preferred.
The predicted salary is between 36000 - 60000 £ per year.
Location: Bristol | Hybrid – 2 Days a Week Onsite
Role Type: Permanent / Full-time Job
Salary: Potentially depending on experience
Key Responsibilities:
- A degree or equivalent practical experience in a pertinent numerate discipline such as mathematics, physics, economics, engineering, or a related field.
- Demonstrated knowledge and application of statistical and machine learning techniques to address challenges posed by large, intricate datasets.
- Exceptional communication and presentation skills, with an advantageous background in stakeholder management.
- Proficiency in programming and data handling using R, Python, or equivalent languages.
- Proven track record of developing end-to-end data science solutions, ranging from proof of concept to successful delivery.
Preferred Experience:
- Proficiency in Python application frameworks like Django or Flask.
- Expertise in preparing and managing applications with DevOps practices.
- Familiarity with Agile project delivery methods.
- Experience in relational databases, including but not limited to SQL and Oracle.
- Background in the Defence or related industry.
- Expertise in utilizing BI tools such as Power BI or Tableau.
Senior Data Scientist (City Of Bristol) employer: Indotronix Avani UK
Contact Detail:
Indotronix Avani UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (City Of Bristol)
✨Tip Number 1
Familiarise yourself with the specific programming languages and frameworks mentioned in the job description, especially Python and its application frameworks like Django or Flask. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas.
✨Tip Number 2
Brush up on your statistical and machine learning techniques, as these are crucial for the role. You might want to create a portfolio of projects where you've successfully applied these techniques to real-world datasets, demonstrating your ability to handle complex data challenges.
✨Tip Number 3
Since stakeholder management is highlighted, practice your communication and presentation skills. Prepare to discuss how you've effectively communicated complex data insights to non-technical stakeholders in past roles, as this will be key during interviews.
✨Tip Number 4
If you have experience in the Defence industry or related fields, make sure to highlight this in your discussions. Research current trends and challenges in the sector to demonstrate your understanding and relevance to the role during your interactions with us.
We think you need these skills to ace Senior Data Scientist (City Of Bristol)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, particularly your proficiency in statistical and machine learning techniques. Include specific examples of projects where you've developed end-to-end solutions.
Craft a Compelling Cover Letter: In your cover letter, emphasise your communication skills and stakeholder management experience. Mention how your background aligns with the key responsibilities of the role and express your enthusiasm for working in a hybrid environment.
Showcase Technical Skills: Clearly outline your programming skills in R and Python, and any experience with frameworks like Django or Flask. If you have worked with BI tools such as Power BI or Tableau, make sure to highlight this as well.
Prepare for Potential Questions: Anticipate questions related to your experience with Agile project delivery methods and DevOps practices. Be ready to discuss specific challenges you've faced with large datasets and how you overcame them.
How to prepare for a job interview at Indotronix Avani UK
✨Showcase Your Technical Skills
Be prepared to discuss your experience with statistical and machine learning techniques. Bring examples of how you've applied these skills to solve complex problems using large datasets, and be ready to demonstrate your proficiency in programming languages like Python or R.
✨Communicate Effectively
Since exceptional communication skills are crucial for this role, practice explaining your past projects clearly and concisely. Tailor your explanations to different audiences, showcasing your ability to manage stakeholders and present technical information in an accessible way.
✨Demonstrate End-to-End Solutions
Prepare to discuss your experience in developing end-to-end data science solutions. Highlight specific projects where you took a concept from inception to delivery, detailing the challenges faced and how you overcame them.
✨Familiarise Yourself with Agile and DevOps
Since familiarity with Agile project delivery methods and DevOps practices is preferred, brush up on these methodologies. Be ready to discuss how you've implemented Agile principles in your previous roles and how you approach collaboration in a DevOps environment.
