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- Tasks: Join our team to enhance efficiency management through data-driven predictions and advanced modeling.
- Company: We are a leading IT services and consulting firm focused on innovative solutions.
- Benefits: Enjoy a hybrid work model, competitive pay, and opportunities for contract extensions.
- Why this job: Be part of a crucial project that impacts operational efficiency while collaborating with senior stakeholders.
- Qualifications: 4-7 years in data science, expertise in R, Python, and proven success in predictive analytics required.
- Other info: Security clearance (SC) is required; potential for DV clearance.
The predicted salary is between 36000 - 60000 £ per year.
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Location: Hybrid – Bath (once every two weeks)
Start Date: 3rd March 2025
Contract Length: 3 months (extensions up to 12 months)
Inside IR35
Security Clearance: SC required (DV potential)
We are looking for 2x Data Scientists to enhance an ongoing brownfield project focused on efficiency management. This initiative, now 1.5 years in development, requires data-driven predictions to optimize operational efficiency. You will play a key role in refining existing work, adding critical improvements, and guiding the team through data exploration and advanced modelling.
Key Responsibilities
- Work with structured, semi-structured, and unstructured data to derive meaningful insights
- Conduct data modelling and apply varied modelling techniques to produce efficiency predictions
- Working with a range of data sources using algorithmic, data mining, artificial intelligence, machine learning and statistical tools.
- Develop analytics solutions within Azure, Oracle, AWS cloud environments
- Utilize databases (e.g SQL / Oracle) to structure, query, and analyze data
- Assessing what’s achievable with current data and identifying potential enhancements
- Collaborate closely with senior stakeholders and data teams
Key Skills
- 4 -7 years’ experience in data science, with 2-4 successful implementations
- Strong knowledge of R, Python, and advanced data science methodologies
- Proven expertise in data modelling, predictive analytics, and statistical analysis
- Demonstrated success in delivering data-driven efficiency improvements
- Pre-cleared to SC level
- DV clearance or willingness to obtain
- MLOps and DataOps
- spaCy NLP Framework
- BERT
- Background in Maths/Physics
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
IT Services and IT Consulting
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Data Scientist employer: Montash
Contact Detail:
Montash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific data science methodologies mentioned in the job description, such as predictive analytics and statistical analysis. Being able to discuss these techniques confidently during your interview will demonstrate your expertise and alignment with the role.
✨Tip Number 2
Since the role involves collaboration with senior stakeholders, practice articulating complex data insights in a clear and concise manner. This will help you showcase your communication skills and ability to work effectively within a team.
✨Tip Number 3
Make sure to highlight any experience you have with cloud environments like Azure, Oracle, or AWS. Being able to share specific examples of how you've developed analytics solutions in these platforms can set you apart from other candidates.
✨Tip Number 4
If you have experience with MLOps and DataOps, be prepared to discuss it in detail. This knowledge is particularly relevant for the role and can demonstrate your readiness to contribute to the ongoing brownfield project.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Scientist position. Understand the key responsibilities and required skills, especially focusing on data modelling, predictive analytics, and the specific tools mentioned like R and Python.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, particularly any successful implementations you've led. Emphasize your expertise in data modelling and any projects that involved efficiency improvements.
Craft a Strong Cover Letter: Write a cover letter that connects your background with the job requirements. Discuss your experience with structured, semi-structured, and unstructured data, and mention your familiarity with cloud environments like Azure or AWS.
Highlight Security Clearance: If you already have SC clearance or are willing to obtain it, make sure to mention this prominently in your application. This is a crucial requirement for the role and can set you apart from other candidates.
How to prepare for a job interview at Montash
✨Showcase Your Technical Skills
Be prepared to discuss your experience with R, Python, and various data science methodologies. Highlight specific projects where you successfully implemented predictive analytics or data modeling techniques.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to derive insights from structured, semi-structured, and unstructured data. Prepare examples of how you've tackled complex data challenges in previous roles.
✨Familiarize Yourself with Cloud Environments
Since the role involves developing analytics solutions within Azure, Oracle, and AWS, make sure you understand these platforms. Be ready to discuss any relevant experience you have with cloud-based data solutions.
✨Engage with Stakeholders
Collaboration is key in this role. Prepare to talk about your experience working with senior stakeholders and data teams, and how you effectively communicated technical concepts to non-technical audiences.
