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Job Title: Data Scientist
Location: Birmingham
Salary: 60,000 - 80,000 per year + Bonus
Benefits:
- Private Health-care
- Generous Bonus Scheme
- Flexible Working Options (Remote/Hybrid)
About the Role:
My client is a leading organisation in their field, and they are looking for a talented Data Scientist to join their growing team. This is a fantastic opportunity for someone with strong analytic skills, a passion for extracting insights from complex data-sets, and a drive to make data-driven decisions that can shape business strategies.
Key Responsibilities:
- Data Analysis & Modelling: Utilise statistical and machine learning techniques to build predictive models and extract insights from large data-sets.
- Data Exploration: Analyse and explore diverse data-sets, identifying patterns, trends, and anomalies to inform business decisions.
- Collaboration: Work closely with stakeholders, including product, engineering, and business teams, to understand data needs and provide actionable insights.
- Data Visualisation: Create clear, informative visualisations to communicate insights and findings to non-technical audiences.
- Algorithm Development: Develop and implement algorithms to automate processes and improve business operations.
- Optimisation: Continuously optimise existing models and processes to improve performance and accuracy.
- Cloud Platforms: Leverage cloud platforms like AWS, GCP, or Azure for data storage, processing, and analysis.
Skills & Experience:
- Proven experience as a Data Scientist or in a similar analytic role.
- Strong proficiency in programming languages like Python, R, or SQL.
- Experience with machine learning techniques, including supervised and unsupervised learning, and deep learning.
- Proficiency in data analysis libraries such as pandas, numpy, scikit-learn, or TensorFlow.
- Familiarity with data visualisation tools (e.g., Tableau, Power BI, Matplotlib).
- Experience working with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Excellent communication skills, with the ability to present complex data findings in a clear and understandable way to both technical and non-technical stakeholders.
- Strong problem-solving skills and the ability to think analytically and creatively.
Preferred Qualifications:
- Experience with big data processing tools such as Spark or Hadoop.
- Familiarity with natural language processing (NLP) or time-series forecasting.
- Experience with A/B testing and experimentation frameworks.
- Knowledge of data engineering concepts and ETL processes.
Why Join My Client?
- Competitive salary (60,000 - 80,000) with performance-based bonuses.
- Comprehensive private health-care plan.
- Generous benefits package including flexible working options.
- A dynamic, collaborative team with opportunities for career growth and development.
- The chance to work on cutting-edge data science projects in an innovative environment.
If you are passionate about using data to drive business success and are ready to take your career to the next level, apply now!
