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Data Scientist eDV
Reference: BHN581836
Job details
- Start date: ASAP
- Employment type: Permanent
- Date published: 6 January 2025
Job description
This permanent position offers the opportunity to work on complex data problems and deliver innovative solutions that drive real impact.
Key Responsibilities:
- Leading client projects and providing subject matter expertise.
- Working in scrum-like environments for iterative and 'fail-fast' work and innovation.
- Assessing clients' business and technical needs to identify opportunities for data science usage.
- Solving problems using data science techniques and in a scientifically robust fashion.
- Identifying relevant data sources and leveraging them to meet client needs.
- Modelling various forms of data for efficient data science use.
- Investigating and analysing data to uncover meaningful insights.
- Applying statistical and evidence-based techniques to inform insights and actions.
- Communicating technical content appropriately both internally and to customers.
- Building maintainable code using existing or novel data science techniques.
- Designing, evaluating, and implementing data science and machine learning techniques.
- Developing scalable models and algorithms for deployment in production environments.
- Applying ethical principles in handling data.
- Delivering high-quality work to agreed timelines and taking the initiative.
- Supporting client engagements, including pitches and presentations.
- Contributing to the company strategy and helping to shape the future.
Job Requirements:
- Experience in data science, machine learning algorithms, and data engineering.
- Industry experience in consultancy, engineering, or data science.
- Significant experience with cloud-based infrastructure (e.g., AWS, Azure, GCP).
- Proficiency in Python and relevant data science libraries.
- Experience in using CI/CD tooling for code deployment and testing.
- Knowledge of database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases).
- Understanding of coding best practices, design patterns, and versioning.
- Strong interpersonal skills and the ability to communicate effectively with clients and colleagues.
Benefits:
- Joining a dynamic and agile organisation.
- Opportunities for professional growth and development.
- Working in an environment that values transparency, fairness, and daring.
- Collaborative and respectful work environment.
- Hybrid working model with 2-3 days in the office or on a client site.
If you are a skilled Data Scientist with the necessary clearance and a passion for technology and problem-solving, we would love to hear from you. Apply now to join our client's innovative and forward-thinking team.
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