At a Glance
- Tasks: Use data science and machine learning to generate insights and develop solutions.
- Company: AWTG, a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team where your insights drive meaningful change.
- Why this job: Make a real impact by solving complex problems with data and collaborating with diverse teams.
- Qualifications: Experience in data science, proficiency in Python or R, and strong communication skills.
The predicted salary is between 63000 - 77000 £ per year.
Role overview The Data Scientist will use data science, statistics and machine learning techniques to generate insight and develop practical solutions for AWTG and its clients.
The role works with multidisciplinary teams to explore data, build models and communicate findings clearly.
You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users.
Key responsibilities
- Explore, prepare, analyse and visualise data to identify patterns, trends and opportunities.
- Develop data science outputs such as models, reports, dashboards, forecasts or decision-support tools.
- Apply appropriate statistical, machine learning or analytical techniques to solve business or user problems.
- Work with data engineers, analysts, developers and product teams to deliver usable data science solutions.
- Document methods, assumptions, limitations and validation results clearly and responsibly.
- Consider data ethics, privacy and security throughout the data science life cycle.
Essential skills and experience
- Experience applying data science or statistical methods to real-world problems.
- Good knowledge of Python, R or similar programming languages for analysis and modelling.
- Understanding of machine learning, statistical testing, model validation and performance metrics.
- Ability to prepare, clean and transform data for analysis and modelling.
- Ability to communicate technical findings and visualisations to non-technical audiences.
- Awareness of data ethics, privacy, bias, model limitations and responsible use of data.
Desirable skills and experience
- Experience with NLP, time series, optimisation, predictive analytics or simulation.
- Experience with cloud data platforms, notebooks, Git, APIs or data pipelines.
- Experience delivering data science outputs within Agile or multidisciplinary teams.
- What success looks like
- Data science outputs are valid, explainable and aligned to business needs.
- Models and analysis are documented, tested and communicated clearly.
- Insights help teams improve services, operations or decision-making.
- #J-18808-Ljbffr
Data Scientist in Birmingham employer: AWTG Ltd.
AWTG is an exceptional employer for Data Scientists, offering a collaborative work culture that fosters innovation and creativity. With a strong emphasis on employee growth, AWTG provides opportunities to work alongside multidisciplinary teams, enhancing your skills in data science, machine learning, and analytics while contributing to meaningful projects that drive real-world impact. Located in a vibrant area, the company also prioritises data ethics and responsible practices, ensuring that your work not only advances technology but also aligns with societal values.
