Senior Data Scientist / AI Specialist
Senior Data Scientist / AI Specialist
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Job Description
We are seeking a highly skilled and motivated Senior Data Scientist with AI experrise to join our Data&AI team. The ideal candidate will possess a strong background in data science AI technologies and advanced analytics. You will work closely with clients to understand their business needs develop innovative AI solutions and provide actionable insights that drive strategic decision-making.
Key Responsibilities:
- Client Collaboration: Work closely with clients to understand their business objectives data requirements and AI & DS needs.
- Design & Build Data Science & AI Projects: Design and implement data science and AI projects ensuring they meet client objectives and deliver business value.
- Data Analysis and Modeling: Develop and apply advanced statistical models machine learning algorithms and AI techniques to solve complex business problems. Ability to adapt to the latest AI policies according to different AI systems risk levels and to make AI systems decisions transparent and interpretable.
- Cloud Hosting Expertise: Utilise knowledge of cloud hosting environments including AWS Azure and other relevant platforms to deploy and manage AI & DS solutions effectively.
- Data Integration: Integrate and analyse data from multiple sources to create unified accurate datasets for AI & DS modeling and analysis.
- Data Visualization: Create visually appealing and interactive dashboards and visualizations to present AI & DS-driven insights in a comprehensible manner.
- Stakeholder Communication: Communicate complex AI & DS findings to non-technical stakeholders effectively.
- Pre-Sales and Business Development: Collaborate with the sales team to identify opportunities contribute to proposal development and present AI & DS solutions to prospective clients.
Qualifications :
- More than 5 years of experience in data science AI or related fields.
- Proficiency in Python SQL and machine learning frameworks (e.g. TensorFlow PyTorch).
- Strong background in AI/ML techniques including natural language processing computer vision and predictive analytics.
- Experience in managing a broad range of AI products and solutions as well as Generative AI (GenAI) solutions.
- Knowledge of cloud hosting environments particularly Azure AWS GCP and other relevant platforms.
- Knowledge of data warehousing concepts and ETL processes (e.g. Databricks or Snowflake).
- Excellent problem-solving and analytical skills.
- Effective communication and client-facing skills.
- Experience in contributing to pre-sales and business development activities.
- Certifications in AI/ML data science or cloud platforms.
- Experience with cloud-based AI/ML platforms (e.g. AWS SageMaker Azure ML or GCP Vertex AI).
- Business proficiency level in English is essential.
Additional Information :
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package share plan company performance bonuses value-based recognition awards referral bonus;
- Career Development: Career coaching global career opportunities non-linear career paths internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions pass-it-on sessions workshops conferences;
- Work-Life Balance: Hybrid work and flexible working hours employee assistance programme;
- Health: Global internal wellbeing programme access to wellbeing apps;
- Community: Global internal tech communities hobby clubs and interest groups inclusion programmes events and celebrations.
Additional Local Benefits
- Monthly Lifestyle Allowance: Contribution towards health and wellbeing activities like gym memberships.
- Novated Leasing: Pre-tax car leasing benefit for new and used cars.
- Loyalty Leave: Receive an additional day of leave on your 3rd 4th and 5th work anniversaries accumulating up to a maximum of 3 extra days of leave per year.
- Inclusive Parental Leave Policy: 12 weeks of primary carers leave and 4 weeks of secondary carers leave.
- Work From Anywhere: In addition to our hybrid working policy we also offer 20 days of working from anywhere per year. Ideal for an extended trip to get away from the city or visiting loved ones.
At Endava were committed to creating an open inclusive and respectful environment where everyone feels safe valued and empowered to be their best. We welcome applications from people of all backgrounds experiences and perspectivesbecause we know that inclusive teams help us deliver smarter more innovative solutions for our customers. Hiring decisions are based on merit skills qualifications and potential. If you need adjustments or support during the recruitment process please let us know.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
