Data Engineer - AI
Role details
Job location
Tech stack
Job description
Embark on an exciting career path as a Senior Data Engineer with Advanced Analytics expertise! In this role, you'll be responsible for leading advanced analytics projects, driving innovation, and mentoring junior engineers., * Lead the development of advanced analytics solutions for complex business problems.
- Mentor junior data engineers, providing guidance and support in their professional development.
- Perform statistical analysis, data collection, data mining, and text mining.
- Design, build, and manage solutions for advanced analytics projects.
- Utilize predictive analytics tools (SPSS) to draw conclusions and present findings.
Requirements
- Extensive experience with data engineering principles and advanced analytics techniques.
- Proficiency in programming languages (Python, R, SQL).
- Experience with data manipulation and analysis tools (Pandas, NumPy, Dask).
- Strong leadership and communication skills.
- Ability to lead cross-functional teams and manage stakeholder expectations.
This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).
Preferred technical and professional experience
- Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
- Familiarity with big data technologies (Hadoop, Spark).
- Background in data science, IT consulting, or a related field.
- AWS Certified Big Data or equivalent
Benefits & conditions
- Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
- More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice.