Editorial summary

The company is seeking a Lead Data Scientist to tackle complex data science challenges by utilizing statistics, machine learning, and data mining techniques. The role involves collaborating with business stakeholders, project managers, and database engineers to develop advanced analytics algorithms that deliver actionable insights. The ideal candidate will serve as a trusted adviser to clients, helping them conceptualize and implement sophisticated analytics solutions. The position offers a salary of 16,500.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 17132 first appeared in Job-Q.com on 29 Jun 2026]

We are looking for a data scientist to address challenging data science problems by discovering information hidden in vast amount of data by leveraging techniques in statistics, machine learning, and data mining. The data scientist will work closely with the business users, project managers, and database engineers to develop sophisticated analytics algorithms that provide actionable insights. The role requires to a trusted adviser to our clients in conceptualizing advanced analytics solutions and enabling their journey in data science.

Responsibilities:

-Translate customer pain-points into problem statements, architect analytics solution, and engagingly present results and learnings to both technical and non-technical audiences.

- Develop and manage entire end-to-end lifecycle of scoping of data inputs, data cleaning and pre-processing, feature engineering, building models, deploying to production and improving models by iterations

- Present statistically sound model validations to justify model selection and performance

- Build and deploy highly valuable, efficient, scalable advanced analytics models in production systems

- Design and develop sophisticated visualizations and dashboards to explain the actionable insights

-Contribute to the data architecture engineering decisions to support analytics.

- Workclosely with project manager and technical leads to provide regular status reporting and support them to refine issues/problem statements and propose/evaluate relevant analytics solutions

- Work in interdisciplinary teams that combine technical, business and data science competencies that deliver work in waterfall or agile software development lifecycle methodologies

- The range of accountability, responsibility and autonomy will depend on your experience and seniority, including:

-Contributing to our internal networks and special interest groups

-Mentoring to upskill peers and juniors

Requirements:

- Ability to communicate complex quantitative analysis in a concise and actionable manner

-Proficiency in manipulating and analysing complex, high-volume, high-dimensionality data (structures/unstructured) from varying sources

- Strong knowledge in Feature Selection/Extraction on a variety of data types

- Strong competency in various machine learning techniques (supervised/ unsupervised learning)

- Solid understanding of advanced analytics (Statistics, NLP, Simulation, Optimizations, etc.)

-Expertise in Python/R, Apache Spark (or similar scripting language) coding capability to operationalize data analytics workflows & processes

-Experience in using LLM for building GenAI or Agentic AI solutions

-Experience in data visualisation tools and libraries such as Tableau, Qlik, Shiny Plotly, ggplot2, etc

-Experience in machine learning model management and deployment tools using containerisation (Docker, Kubernetes)

- Good communications skills to understand our customers' core business objectives and build end-to-end data centric solutions to address them

- Good critical thinking and problem-solving abilities

-Curiosity to ask why and tenacity to find the root causes

-Enthusiasm for implementing machine learning products through extensive experimentation from prototyping to production

- Stay up to date with evolving analytics concepts and data science and AI platforms, tools, and techniques

- Ability to work independently and manage multiple task assignments

Nice to have

- Post Graduate Degree (Masters or PhD) in Mathematics, Applied Statistics, Business Analytics or equivalent

- Prior consulting experience in AI and data domain

-Experience in advanced analytics delivery or relevant research fields

-Experience in Amazon Web Services, Microsoft Azure, Cloudera, Hadoop, Spark, Storm or related paradigms and associated tools such as Pig, Hive, Mahout

-Experience with DevOps tools in analytics project delivery

-Experience with application/ software development and design

-Exposure in deep learning, and reinforcement learning job experience

-Experience in implementing Graph database analytics

-Knowledge in database modelling and data warehousing concepts

Interested candidates may send their CV to MAC(Reg No. R1221300) at anc1@anchorsearchgroup.com quoting the job title in the Subject line. We regret that only shortlisted candidates will be notified.

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