At a Glance
- Tasks: Join a team to develop innovative data science solutions for real-world problems.
- Company: Dynamic government-focused organisation with a commitment to evidence-based decision making.
- Benefits: Flexible working hours, hybrid role, and potential for permanent position.
- Other info: Collaborative environment with opportunities for continuous learning and growth.
- Why this job: Make a meaningful impact using your data skills on complex datasets.
- Qualifications: Experience in data analysis, machine learning, and programming languages like Python or R.
The predicted salary is between 63000 - 77000 £ per year.
- We\'re looking for an inquisitive and analytical
- Associate
Data Scientist to join a multidisciplinary team delivering innovative data science solutions that support evidence-based decision making across government.
This is an excellent opportunity for someone with experience in data analysis, machine learning and statistical modelling who wants to work on meaningful projects using large and complex datasets.
You\'ll work alongside data scientists, analysts, engineers and subject matter experts to develop robust analytical products that help solve real-world problems.
This position is an initial
6-month contract (full time, 37 hours per week, flexi-time) , which has the possibility of transitioning into a permanent position.
The position is a hybrid role (1-2 days per week in office) , and the successful candidate can be based from one of two office locations -
Newport (South Wales) or Titchfield (Hampshire).
What You'll Be Doing
As an Associate Data Scientist, you will
- Develop and assure basic analytical models using a range of data science techniques.
- Prepare, clean and manipulate data ready for analysis.
- Apply statistical methods and machine learning techniques to extract insights from complex datasets.
- Produce high-quality visualisations and communicate findings to both technical and non-technical audiences.
- Collaborate within multidisciplinary Agile teams to deliver data science products.
- Ensure outputs are quality assured, reproducible and ethically developed.
- Contribute to continuous improvement by researching new techniques and identifying opportunities to innovate.
We\'re looking for candidates who can demonstrate experience in
- Applying statistical analysis and exploratory data analysis to solve business problems.
- Developing analytical models using programming languages such as
- Python or
R .
- Data preparation, cleansing and transformation.
- Machine learning techniques and model validation.
- Communicating technical findings through reports, presentations and data visualisations.
- Working collaboratively within multidisciplinary teams.
- Understanding data ethics and responsible use of data.
- Software development principles including version control and collaborative coding.
- SQL and relational databases.
- Cloud-based analytical environments (AWS, Azure or GCP).
- Git or other version control systems.
- Dashboarding tools such as Power BI or Tableau.
About You
You'll be naturally curious, enjoy solving complex problems and be keen to continuously develop your data science capability.
You'll be someone who
- Enjoys exploring data and discovering new insights.
- Thinks critically and makes evidence-based recommendations.
- Communicates clearly with a range of stakeholders.
- Is proactive, adaptable and collaborative.
- Takes pride in producing accurate, high-quality work.
- #J-18808-Ljbffr
Associate Data Scientist in Newport employer: GTC Recruitment
Join a forward-thinking organisation that values innovation and collaboration, offering a dynamic work culture where your expertise in Learning Design can truly shine. With opportunities for professional growth and the chance to contribute to impactful organisational change, this role not only provides competitive rates but also the flexibility of remote work with occasional travel to Coventry. Embrace a meaningful career that prioritises learner-centred design and stakeholder engagement in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Scientist in Newport
✨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 GTC Recruitment!
✨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 Associate Data Scientist at GTC Recruitment.
✨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 GTC Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Associate Data Scientist at GTC Recruitment, 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 Associate Data Scientist in Newport
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 GTC Recruitment, 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 GTC Recruitment. 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 GTC Recruitment
✨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 GTC Recruitment!
✨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.
