At a Glance
- Tasks: Join a dynamic team to develop AI products and data pipelines.
- Company: Ambitious tech business in Manchester with a focus on innovation.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement.
- Why this job: Make an impact by transforming data into actionable insights and solutions.
- Qualifications: 1-2 years of experience in data science and engineering.
The predicted salary is between 49500 - 60500 £ per year.
Ensure you read the information regarding this opportunity thoroughly before making an application.
Location: Manchester, Exchange Quays
Working pattern: Hybrid - 2 days a week on site
Department: Technology
Salary: Competitive, dependent on experience
About the role
We're looking for a Data Scientist to join an ambitious technology business in Manchester, working at the intersection of data science, AI, behavioural insights and technology. You'll join the Insight Services team, working alongside experienced Data Scientists to develop the data pipelines, analytical models and AI products that sit behind a growing technology platform. This is a hands-on role combining data science, R development and data engineering in AWS. You'll have the opportunity to work across the full data lifecycle, from collecting and transforming data through to building models, deploying solutions and supporting them in production. Around 80% of your time will be focused on AI product development, data engineering and product enhancement, with the remaining 20% focused on Level 3 technical support.
What you'll be doing
- Build and maintain data pipelines that collect, clean and transform customer and internal data
- Develop data analysis and statistical models using R
- Build, test and maintain machine learning and predictive models
- Develop and deploy R-based applications and data workflows within AWS
- Work with structured and unstructured data to identify trends, patterns and insights
- Build and maintain ETL/ELT pipelines and data workflows
- Work with AWS services including S3, RDS, Lambda, ECS, Glue and CloudWatch
- Monitor data quality, pipeline performance and production issues
- Design and maintain data models and database schemas
- Write efficient SQL queries and work with relational databases
- Use Git, testing and version control to produce reliable and maintainable code
- Create data visualisations and communicate findings to technical and non-technical audiences
- Translate business challenges into analytical questions and evidence-based solutions
- Support behavioural and risk segmentation, research and cost analysis
- Provide Level 3 technical support, investigating and resolving complex application and data issues
- Contribute to code reviews, technical documentation and continuous improvement
What we're looking for
We're looking for someone with around 1-2 years of commercial experience who has exposure to both the analytical and engineering sides of data.
Data Scientist employer: Oliver James Careers
Join a forward-thinking organisation in London that prioritises innovation and employee development. As a Service Design and Transition Lead, you'll benefit from a collaborative work culture that values your expertise while offering competitive rates and flexible onsite arrangements. With a focus on meaningful projects and opportunities for professional growth, this role is perfect for those looking to make a significant impact in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Oliver James Careers!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Oliver James Careers.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Oliver James Careers.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Oliver James Careers, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Oliver James Careers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Oliver James Careers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Oliver James Careers
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Oliver James Careers!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
