At a Glance
- Tasks: Develop advanced statistical models and machine learning solutions to solve complex business problems.
- Company: Join a forward-thinking organisation focused on data-driven decision support.
- Benefits: Earn up to £450/day, enjoy hybrid work, and gain valuable experience.
- Other info: Opportunity for continuous improvement and career growth in data science.
- Why this job: Make a real impact using modern data science tools in a collaborative environment.
- Qualifications: Strong Python skills and experience with cloud environments required.
An established organisation is seeking a Data Scientist to join a forward-thinking data function focused on advanced analytics, predictive modelling, and data-driven decision support. This role offers the opportunity to work on complex high-value problems using modern data science tooling within a collaborative delivery-focused environment.
The Data Scientist role suits a hands-on Data Scientist who is comfortable working across the full lifecycle from data exploration through to model development, validation, and deployment support.
Responsibilities for the Data Scientist:- Develop statistical models, machine learning solutions, and analytical frameworks to address complex business problems.
- Explore large structured and semi-structured datasets to identify patterns, trends, and predictive signals.
- Build and test refined models using modern data science libraries within cloud-based platforms.
- Translate analytical outputs into clear insights and recommendations for technical and non-technical stakeholders.
- Work closely with data engineers and analysts to ensure models are production-ready and scalable.
- Validate model performance, manage bias, and ensure outputs are robust, explainable, and reliable.
- Contribute to continuous improvement of data science practices, tooling, and governance.
- Strong experience in data science using Python with libraries such as Pandas, NumPy, scikit-learn, or similar.
- Solid grounding in statistics, probability, and machine learning techniques.
- Proven experience working within cloud environments such as AWS, Azure, or GCP.
- Experience working with SQL and large analytical datasets.
- Ability to clearly communicate complex analytical concepts to a broad audience.
- Strong problem-solving skills with a delivery-focused mindset.
- Relevant academic qualifications in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline.
- Experience with deep learning frameworks and advanced modelling techniques.
- Familiarity with MLOps concepts, model monitoring, and deployment pipelines.
- Exposure to tools such as Databricks, MLflow, and feature stores.
- Experience working in Agile product-led delivery environments.
- Understanding of data governance, ethics, and model explainability.
- Relevant professional certifications relating to cloud data platforms, machine learning, or analytics.
If you are a Data Scientist with strong technical depth, cloud experience, relevant qualifications, and a track record of delivering real-world analytical solutions who is looking for a high-impact Outside IR35 contract, please apply in the immediate instance.
Data Scientist - up to £450/day Outside IR35 - Hybrid employer: Involved Solutions
Join a dynamic and innovative organisation that values collaboration and continuous improvement, offering a hybrid work model in the heart of Central London. As a Data Scientist, you'll have the opportunity to tackle complex problems using cutting-edge data science tools while benefiting from a supportive work culture that prioritises employee growth and development. With competitive rates and a focus on advanced analytics, this role is perfect for those seeking meaningful and rewarding employment in a forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - up to £450/day Outside IR35 - Hybrid
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, machine learning, and cloud environments. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with statistical models and how you've tackled complex business problems in the past.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Scientist - up to £450/day Outside IR35 - Hybrid
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with Python, cloud environments, and any relevant statistical models you've developed. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've tackled complex data problems. Whether it's predictive modelling or data exploration, we love seeing real-world applications of your skills. Don't hold back on the details!
Keep It Clear and Concise:When writing your application, clarity is key. Use straightforward language to explain your experience and avoid jargon unless necessary. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Involved Solutions
✨Know Your Tools
Make sure you're well-versed in the data science libraries mentioned in the job description, like Pandas, NumPy, and scikit-learn. Brush up on your Python skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific complex business problems you've tackled using statistical models or machine learning solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your delivery-focused mindset.
✨Communicate Clearly
Practice explaining complex analytical concepts in simple terms. You might be asked to translate technical outputs into insights for non-technical stakeholders, so being able to communicate effectively is key.
✨Familiarise Yourself with Cloud Environments
Since the role involves working within cloud platforms like AWS, Azure, or GCP, make sure you understand the basics of these environments. Be prepared to discuss any relevant experience you have and how it relates to model deployment and monitoring.
