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- Tasks: Develop data pipelines and machine learning models in a dynamic team.
- Company: Join a forward-thinking consultancy with a focus on innovation.
- Benefits: Competitive pay, inclusive culture, and opportunities for professional growth.
- Why this job: Make an impact by working on cutting-edge data science projects.
- Qualifications: Experience in data science, Python, and strong analytical skills.
- Other info: Diverse candidates are encouraged to apply; interviews happening soon!
The predicted salary is between 48000 - 72000 £ per year.
Exciting potential long-term Senior Data Scientist role available for an individual with a proven Consultancy background. You will be working within a dynamic thought leadership team in developing data pipelines, machine learning models, and complex optimisation models in the ODS software product suite with an AWS environment.
This role will suit a Data Scientist with full-stack experience, and proven experience in developing our clients product's core algorithm and ensuring their features integrate seamlessly into the product's technical stack. This includes data ingestion, user interface, and orchestration.
Machine Learning and optimisation techniques, including supervised regression, tree methods, clustering learning, and operations research (linear, mixed integer programming, heuristics).
Fluent in Python, ML tools, data and model versioning, CI/CD, workflow orchestration.
Strong data engineering skills in SQL and Python.
Advanced analytical skills, including the ability to apply a range of data science and analytic techniques to quickly generate accurate business insights.
Minorities, women, LGBTQ+ candidates, and individuals with disabilities are encouraged to apply.
Interviews will take place next week, so please apply immediately to be considered for this contract role or call Bangura Solutions on 0203 854 1400 to discuss this exciting role further.
Senior Data Scientist - AWS, Consulting in Uxbridge employer: Bangura Solutions
Contact Detail:
Bangura Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - AWS, Consulting in Uxbridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who have experience with AWS and consulting. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and optimisation projects. This is your chance to demonstrate your full-stack experience and how you’ve integrated algorithms into products.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your analytical techniques. Practising common interview questions related to data science will help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Scientist - AWS, Consulting in Uxbridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your consultancy background and experience with data pipelines and machine learning models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your full-stack experience can contribute to our dynamic team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Technical Skills: Be specific about your proficiency in Python, SQL, and any ML tools you've used. We’re looking for strong data engineering skills, so mention any relevant projects or experiences that demonstrate your capabilities in these areas.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s quick and easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Bangura Solutions
✨Know Your Stuff
Make sure you brush up on your machine learning techniques and data engineering skills. Be ready to discuss your experience with supervised regression, tree methods, and optimisation techniques. The more you can demonstrate your expertise in Python and SQL, the better!
✨Showcase Your Consultancy Experience
Since this role requires a proven consultancy background, prepare examples of how you've successfully worked with clients in the past. Highlight any projects where you developed data pipelines or algorithms that integrated seamlessly into a product's technical stack.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on your knowledge of AWS environments and CI/CD processes. Practise explaining complex concepts in a simple way, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and the specific challenges they face. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
