AI Lead (Data Science)

Job Title:AI Lead (Sr DS Engineer)

Work Location:Hybrid London, UK

Type of Employment:FTE Or CTH

Please make an application promptly if you are a good match for this role due to high levels of interest.

Purpose of the Position:

We are seeking a talented and experienced Senior Data Science Engineer to join our growing team. The ideal candidate will have a strong background in supply chain and operations, with expertise in developing advanced data science solutions for anomaly detection, forecasting, and revenue optimization using convolutional neural networks (CNN), Python, and PySpark.

InfoCepts is a global leader of end-to-end data and analytics solutions with nearly 20 years’ experience enabling customers to derive value from a variety of data-driven capabilities. Unique among its peers, InfoCepts operates with the scale of a global consulting firm, yet the expertise of a niche partner.

At InfoCepts, you’ll be challenged to think innovatively, while growing your own personal and professional skills designed with the future in mind. We have more than 1200 global professionals working on cutting edge technology solutions with a single mission – transforming our customers' journey with data-driven modernization.

• InfoCepts has been recognized as Gartner Peer Insights ™ Customers' Choice for two consecutive years in 2020 and 2021 which recognizes our best-in-class services that help our customers approach any data analytics problem.
• We are certified by Great Place to Work®, India in 2021 and recognizes our high-trust and high-performance work culture, and great employee experience in the industry.
• Our award-winning reusable solutions approach is well recognized in the D&A industry and lets our associates leverage our collective and proven consultative expertise, accelerate solution delivery through automation, enable faster time to value with reusable toolkits – all while delivering exceptional customer experience.

Our success has been unique, and we are looking for professionals who are enthusiastic and passionate about data & analytics, delivering differentiated experiences, and solving real world problems for our global customers. This position works with the competency and delivery team to execute on the assigned responsibilities.

Key Result Areas and Activities:

Leadership and Team Development:

Provide strategic direction and leadership to the AI team, mentoring and fostering a culture of excellence and innovation.

AI Strategy and Delivery:

Collaborate with senior leadership to define and execute the AI strategy, and lead the end-to-end delivery of AI projects, ensuring timely and budget-compliant execution.

Technical Expertise and MLOps:

Maintain deep expertise in AI, machine learning, and MLOps tools, championing best practices in model versioning, deployment, and CI/CD pipelines.

Collaboration and Integration:

Work closely with cross-functional teams to identify AI opportunities and integrate AI solutions into existing processes, driving business impact.

Innovation and Quality Assurance:

Drive innovation by exploring new AI techniques and methodologies, and ensure robust, scalable, and ethical AI solutions through best practices in development, testing, and deployment.

Work and Technical Experience:

Must-Have

1. Proven experience in AI and machine learning, including deep learning, NLP, computer vision, and reinforcement learning.
2. Strong leadership and project management skills, with a track record of successful AI projects and team management.
3. Advanced skills in Python and experience with AI libraries/frameworks (e.g., TensorFlow, PyTorch).
4. Strong knowledge of software development principles.
5. Excellent communication and presentation skills for conveying complex AI concepts to non-technical stakeholders.

Good-to-Have

• Proven track record of publishing relevant OR or predictive modelling results and tools in peer-reviewed journals, conferences, and other scientific proceedings.
• Experience in life sciences and healthcare.
• Experience in a complex global organization.

Qualifications:

• Masters or PhD Degree (or equivalent numbers of years of experience) in mathematics, computer science, engineering, physics, statistics, computational sciences or a related field.
• 10+ years of experience in data science, machine learning, and predictive analytics, with a focus on life sciences and healthcare.