KA
KalderosDirector of Data Science
Director of Data Science at Kalderos overseeing data functions and mentoring teams while driving product development. Focus on improving healthcare pricing transparency with data analytics.
About the role
- How You’ll Shape Our SuccessThe purpose of this role is to advance clients' technical environments by designing and deploying innovative machine learning-based models and AI solutions that directly deliver measurable value for their organizations.
- What You’ll Do
- Strong grasp of statistics and probability fundamentals
- Solid understanding of machine learning algorithms for supervised and unsupervised learning
- Understanding of Transformer based models
- Experience developing AI agents
- Strong Python and SQL skills
- Experience with Cloud ML tools and version control (e.g. git)
- Experience with MLOps
- Collaborative, proactive, logical, methodical, and attentive to detail
- Excellent communication skills (verbal and written)
- Collaborate with clients to understand their business problems and design technical solutions using machine learning models
- Develop and deploy machine learning models on Google Cloud
- Use version control and agile working practices
- Stay up-to-date with the latest developments in machine learning and bring new ideas to the team.
Requirements
- What You’ll Need to Succeed
- Demonstrates adeptness in persuasive communication and making requests while maintaining harmonious relationships
- Provides valuable feedback and acknowledges achievements in a constructive manner
- Utilizes diverse influencing techniques to achieve goals
- Possesses exceptional conflict resolution skills and can effectively negotiate in difficult situations
- Maintains a delicate balance between personal and team objectives
- Displays sensitivity to the needs of others and readily offers assistance when needed
- Capable of independently developing data solutions using appropriate tools and techniques
- Exhibits a comprehensive understanding of the data landscape and adapts quickly to new subject areas
- Adept at evaluating and incorporating new technologies into existing solutions
- Provides expert advice and support to customers in defining effective solutions
- Skillfully gathers and synthesizes information from project team members and delivers concise updates to stakeholders.
Benefits
- **Financial:**
- Competitive base salary.
- Matching pension scheme (up to 5%) from day one.
- Discretionary company bonus scheme.
- 4 x annual salary Death in Service coverage from day one.
- Employee referral scheme.
- **Health and Wellbeing:**
- Private medical insurance from day one.
- Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy.
- EAP service
- Cycle to Work scheme.
- **Time Off and Flexibility:**
- 36 days annual leave (inclusive of bank holidays).
- An extra paid day off for your birthday.
- Ten paid learning days per year.
- Flexible working hours.
- Market-leading parental leave.
- Sabbatical leave (after five years).
- Work from anywhere (up to 3 weeks per year).
- **Development and Recognition:**
- Industry-recognised training and certifications.
- Bonusly employee recognition and rewards platform.
- Clear opportunities for career development.
- Length of Service Awards
- **Extra Perks:**
- Regular company events.
- Tech Scheme.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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