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- Tasks: Join us as a Data Scientist, working with cutting-edge tools like Bedrock and Sagemaker.
- Company: Be part of LA International, an award-winning global IT consultancy with a strong reputation.
- Benefits: Enjoy hybrid work options, competitive pay, and a supportive environment for growth.
- Why this job: Make a real impact in a progressive organisation while developing your skills in data science.
- Qualifications: Solid experience with Python, AWS, and machine learning libraries is essential.
- Other info: This role offers a chance to work on exciting projects with a diverse team.
The predicted salary is between 40000 - 54000 £ per year.
6 Month contract initially Based: Remote/Milton Keynes - Hybrid. Max 3 days p/w onsite. Rate: £400 - £450 p/d (via Umbrella company). We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference.
You will have solid experience of Bedrock, Sagemaker, Python and Pandas.
Key Responsibilities:- Working experience LLMs under Bedrock and Sagemaker both Amazon
- Python with APIs to ChatGPT
- Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers
- AWS Data Science Environment: Hands-on experience with Sage Maker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS.
- OCR Use-Case Development: Proficiency with Amazon Tex-tract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations, and rules.
- Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code.
- Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning, and deployment.
- Business Requirement Translation: Ability to convert business problems into data-driven solutions. Designing KPIs, metrics, and actionable insights.
- Stakeholder Collaboration: Effective communication with technical and non-technical stakeholders. Experience in cross-functional teams.
- Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena).
- Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics.
- Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR).
- Agile Methodologies: Experience working in Agile/Scrum teams using tools like Jira or Azure DevOps.
This is an excellent opportunity on a great project of work. If you are looking for your next exciting opportunity, apply now for your CV to reach me directly, we will respond as soon as possible.
Data Scientist in Milton Keynes employer: LA International Computer Consultants Ltd
Contact Detail:
LA International Computer Consultants Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Milton Keynes
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Bedrock, Sagemaker, and Python libraries like Pandas and NumPy. Having hands-on experience or projects that showcase your skills with these tools can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your experience with AWS services, particularly SageMaker and Lambda. Be ready to share examples of how you've deployed models or built data pipelines, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 3
Highlight your ability to translate business requirements into data-driven solutions. Think of specific instances where you've designed KPIs or provided actionable insights, as this will show your understanding of the business side of data science.
✨Tip Number 4
Since effective communication is key, practice explaining complex technical concepts in simple terms. This will help you engage with both technical and non-technical stakeholders, which is crucial for collaboration in cross-functional teams.
We think you need these skills to ace Data Scientist in Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Bedrock, Sagemaker, Python, and Pandas. Use specific examples of projects where you've applied these skills to demonstrate your expertise.
Craft a Strong Cover Letter: In your cover letter, explain why you're interested in the Data Scientist position and how your background aligns with the key responsibilities outlined in the job description. Mention your experience with AWS and any relevant projects.
Showcase Relevant Projects: If you have worked on projects involving LLMs, OCR, or machine learning models, be sure to include these in your application. Detail your role and the impact of your contributions to highlight your capabilities.
Highlight Soft Skills: Effective communication is key for this role. Emphasise your ability to collaborate with both technical and non-technical stakeholders, as well as your experience working in Agile/Scrum teams.
How to prepare for a job interview at LA International Computer Consultants Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Bedrock, Sagemaker, and Python in detail. Highlight specific projects where you've used these technologies, especially focusing on how you implemented LLMs and worked with APIs like ChatGPT.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've translated business requirements into data-driven solutions. Discuss the KPIs and metrics you designed and how they impacted decision-making in previous roles.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. Since you'll be collaborating with both technical and non-technical stakeholders, being able to bridge that gap is crucial.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working in Agile/Scrum teams, be ready to discuss your experience with Agile practices. Mention any tools you've used, like Jira or Azure DevOps, and how they helped streamline your workflow.
