business analyst

data analyst

software developer

ai/ml engineer

data entry operator

data scientist

CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Overview
We are seeking a Senior Data Scientist with 4+ years of experience to design, develop, and deploy advanced machine learning and forecasting solutions for high-impact business use cases. This role requires strong expertise in predictive analytics, time-series forecasting, statistical modeling, and the ability to translate complex business problems into scalable data-driven solutions.
You will play a key role in building robust, interpretable, and production-ready models that support forecasting, optimization, risk analysis, and strategic decision-making across multiple domains. 
Requirements 
 
Machine Learning &amp; Forecasting<ul><li>
Design, develop, and deploy machine learning models for forecasting, prediction, and optimization use cases.</li><li>
Build and evaluate time-series forecasting solutions using statistical and machine learning approaches.</li><li>
Perform feature engineering including lag variables, rolling statistics, trend decomposition, seasonality analysis, and exogenous variable integration.</li><li>
Develop and benchmark models using techniques such as ARIMA, SARIMA, Prophet, XGBoost, Random Forest, Gradient Boosting, and Neural Networks.</li><li>
Conduct model validation, backtesting, and performance monitoring using appropriate evaluation metrics.</li></ul>
Data Science &amp; Analytics<ul><li>
Analyze large and complex datasets to identify trends, anomalies, and business opportunities.</li><li>
Perform exploratory data analysis (EDA) and statistical investigations.</li><li>
Design experiments and evaluate model performance using sound statistical methodologies.</li><li>
Build business-focused insights and recommendations from analytical findings.</li></ul>
Production &amp; Deployment<ul><li>
Collaborate with engineering teams to deploy machine learning solutions into production environments.</li><li>
Build scalable data pipelines and automated workflows.</li><li>
Implement model monitoring, drift detection, retraining strategies, and version control.</li><li>
Develop dashboards and reporting solutions using tools such as Power BI, Tableau, or Streamlit.</li></ul>
Collaboration &amp; Leadership<ul><li>
Partner with business, product, and engineering stakeholders to define data-driven solutions.</li><li>
Communicate technical findings to both technical and non-technical audiences.</li><li>
Mentor junior team members and contribute to data science best practices.</li><li>
Participate in architecture discussions and support project delivery initiatives.</li></ul>
Requirements<ul><li>
4+ years of hands-on experience in Data Science, Machine Learning, or Predictive Analytics.</li><li>
Strong experience with time-series forecasting and predictive modeling.</li><li>
Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, and XGBoost.</li><li>
Experience with forecasting techniques such as ARIMA, SARIMA, Prophet, or similar methods.</li><li>
Strong understanding of statistics, hypothesis testing, feature engineering, and model evaluation.</li><li>
Experience with model validation, cross-validation, and performance metrics (MAPE, MAE, RMSE).</li><li>
Experience working with SQL and large-scale datasets.</li><li>
Familiarity with data pipelines, experimentation frameworks, and analytical environments such as Jupyter or Databricks.</li><li>
Strong communication skills with the ability to present technical insights to business stakeholders.</li><li>
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. 
</li></ul>
Preferred/Advance Skills<ul><li><ul><li>
Experience in multi-entity and multi-currency financial forecasting environments.
</li><li>Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP AI).
</li><li>Experience implementing CI/CD and MLOps frameworks.
</li><li>Exposure to probabilistic forecasting and Bayesian modeling approaches.
</li><li>Knowledge of financial regulations, treasury workflows, and corporate finance processes.</li></ul></li></ul>
Why Join Us<ul><li>
Work on high-impact financial forecasting problems that directly influence strategic decision-making.
</li><li>Lead cutting-edge machine learning initiatives in a mission-critical environment.
</li><li>Collaborate with cross-functional leadership across finance, risk, and engineering.
</li><li>Opportunity to architect scalable ML systems from research to enterprise production.
</li><li>Be part of a culture that values innovation, ownership, and technical excellence.
</li></ul>Equal Opportunity Statement
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

Data Scientist

Tata Consultancy Services (TCS)

<div></div><div><div><div><div>Skill- Data Scientist
Exp - 6+years
Location- Hyderabad
JD
Core Programming &amp; Tools
<ul><li> Hands-on experience building and deploying ML models on large-scale production datasets</li></ul>
<ul><li> Strong programming proficiency in Python with production-quality, well-structured code</li></ul>
<ul><li> Proficient in SQL; experience working with large-volume datasets in Spark and/or Snowflake</li></ul>
<ul><li> Experience with Git for version control, code review, and collaboration</li></ul>
<ul><li> Familiarity with experiment tracking and model versioning (e.g., MLflow)</li></ul>
Classical ML &amp; Statistical Modeling
<ul><li> Time series forecasting (ARIMA, Prophet, deep learning approaches)</li></ul>
<ul><li> Optimization modeling (linear programming, mixed-integer programming)</li></ul>
<ul><li> &amp;nbs p; Classification, regression, clustering, and ensemble methods</li></ul>
<ul><li> Feature engineering, data wrangling, and statistical analysis on structured data</li></ul>
LLM Application &amp; AI Agent Development
<ul><li> AI Agent development: experience building agentic frameworks using Azure AI Studio and Azure model endpoints, including tool-use patterns and multi-step orchestration</li></ul>
<ul><li> RAG pipeline development: document ingestion/chunking, vector embedding/indexing (Azure AI Search), and response generation using LLM endpoints</li></ul>
<ul><li> Prompt engineering and chain-of-thought design for complex supply chain workflows</li></ul>
<ul><li> Experience with orchestration frameworks like LangChain or LlamaIndex</li></ul>
Azure &amp; Production Delivery
<ul><li> Familiar with core Azure resources: Azure Machine Learning, Azure AI Studio, Azure OpenAI Service, and Azure storage/compute</li></ul>
<ul><li> Experience delivering production-ready models with proper testing, validation, and monitoring</li></ul>
<ul><li> Basic UI skills (Streamlit or Gradio) for quick prototyping and demos</li></ul>
Work Style
<ul><li> Highly self-motivated, collaborative, and able to deliver in a fast-paced environment</li></ul>
<ul><li> Able to start contributing within 1-2 weeks with minimal ramp-up</li></ul> 
</div></div></div><div><div><div>Location
</div><div>Hyderabad
</div></div><div><div>Job Function
</div><div>TECHNOLOGY
</div></div><div><div>Role
</div><div>Engineer
</div></div><div><div>Job Id
</div><div>416990
</div></div><div><div>Desired Skills
</div><div>Data Science
</div></div></div><div>Desired Candidate Profile
</div><div><div>Qualifications : BACHELOR OF ENGINEERING</div></div></div><div></div>

JazzWorld

<div>
 
 
 Grade Level:
 
 L2
 
 
 Location:
 
 Islamabad
 
 
 Last Date to Apply:
 
 2nd July 2026
 
 
 
 
 What is a Data Scientist - Teknosys?
 
 
 The Data Scientist is a core technical role responsible for designing, developing, and delivering data-driven solutions that create tangible business value. This role combines strong analytical skills, statistical expertise, and machine learning capabilities to turn raw data into actionable insights and production-ready models.
 
 
 The Data Scientist works closely with business stakeholders, data engineers, and ML practitioners to understand problems, frame them analytically, and build models that address real organizational needs. The role focuses on the hands-on execution of the data science lifecycle, from data exploration and feature engineering through model development, validation, and deployment support.
 
 
 Working within established standards and frameworks, the Data Scientist contributes to a culture of collaboration, continuous learning, and responsible AI development. The role requires balancing experimentation with delivery discipline, ensuring that models are reliable, explainable, and aligned with business objectives.
 
 
 
 
 What does a Data Scientist - Teknosys do?
 
 
 <ul>
 <li>
 Translate business problems into well-defined data science and analytical solutions
 </li>
 <li>
 Perform data exploration, cleaning, feature engineering, and statistical analysis on diverse datasets
 </li>
 <li>
 Develop, train, and validate machine learning and statistical models to address business use cases
 </li>
 <li>
 Collaborate with data engineers and ML engineers to support model deployment and integration
 </li>
 <li>
 Evaluate model performance and continuously improve accuracy, reliability, and efficiency
 </li>
 <li>
 Communicate findings and insights clearly to technical and non-technical stakeholders
 </li>
 <li>
 Follow best practices across the ML lifecycle, including documentation, validation, and monitoring
 </li>
 <li>
 Contribute to responsible and ethical AI practices, including data privacy and model explainability
 </li>
 <li>
 Stay current with emerging tools and techniques, including Generative AI and Large Language Models (LLMs)
 </li>
 <li>
 Support the adoption of established standards, tools, and platforms within the data science practice
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 What are we looking for and what does it require to be a Data Scientist - Teknosys?
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, AI, Statistics, or related field
 </li>
 <li>
 4+ years of experience in Data Science, Machine Learning, or applied analytics
 </li>
 <li>
 Solid expertise in machine learning, statistical modeling, and data analysis
 </li>
 <li>
 Proficiency in Python and/or R, along with common data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch)
 </li>
 <li>
 Experience working with SQL and large datasets
 </li>
 <li>
 Exposure to cloud platforms (AWS, Azure, GCP) and ML workflows
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 </li>
 <li>
 Collaboration and teamwork
 </li>
 <li>
 Curiosity and continuous learning
 </li>
 <li>
 Problem-solving mindset
 </li>
 <li>
 Effective communication
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why Join Teknosys?
 
 
 
 At Teknosys, you will be at the forefront of Pakistan's digital transformation journey, shaping solutions across AI, Data, IT, and Managed Services. You'll work alongside some of the brightest minds in the industry, partner with global hyperscalers &amp; leaders, and close deals that define the future of digital in the region.
 
 
 Joining us means being part of a fast-scaling, innovation-led business where your impact will directly fuel growth, customer success, and leadership.
 
</div>

Data Scientist - Teknosys

Cobblestone Energy

<div>Employment Type: Full-time &amp; Permanent

Location: Dubai, UAE (Visa sponsorship and relocation assistance provided)

Annual Base Salary: range of $80,000 - $110,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme

Annual Leave: 30 Calendar Days

Public Holidays: As declared by UAE Government annually (8 to 14 days)

Working Days: Monday &ndash; Friday

Probation Period: 3 to 6 Months (As per UAE Labour Law)

Health Insurance: Comprehensive Private Health Insurance (IPD, OPD &amp; Dental)

Residency Visa Sponsorship: Provided by the Company

Relocation Support: Available for candidates relocating to Dubai

End of Service Gratuity: As per UAE Labour Law 

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. 

Cobblestone Values
<ul>
<li>Excellence in Hiring &amp; Teamwork</li>
<li>Lifelong Learning Through Continuous Reflection</li>
<li>Independent Thinking Through a Meritocracy of Ideas</li>
<li>Winning</li></ul> 
 
Role Description:

We are seeking a highly motivated and talented Data Scientist to join our dynamic team. With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics, predictive modelling, and the strategic implementation of Generative AI/LLM technologies. 

What we offer in this role
<ul>
<li>A full-time, high-impact position within our dynamic Commercial team.</li>
<li>A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what's possible.</li>
<li>A career that challenges you to solve complex problems and rewards your drive for continuous innovation.</li>
<li>A unique opportunity to work on impactful projects, making independent decisions that drive real-world outcomes.</li>
<li>The chance to take full ownership of new projects, making high-impact decisions in a dynamic environment.</li>
<li>Equity participation, ensuring long-term alignment</li></ul> 
 
Key Responsibilities:
<ul>
<li>Analyse large, complex datasets to generate actionable insights that inform trading and commercial decisions.</li>
<li>Develop, deploy, and maintain predictive models to support market forecasting and trading strategy optimisation (e.g., time-series models, regression, tree-based methods).</li>
<li>Architect and implement production-ready AI/LLM solutions, such as Retrieval-Augmented Generation (RAG) pipelines or task-specific agents, integrated programmatically into analytical workflows (e.g., via APIs, LangChain, LlamaIndex).</li>
<li>Build, automate, and own end-to-end data workflows covering data ingestion, cleaning, feature generation, and model training, leveraging tools such as Python, SQL, Airflow, pandas, and workflow orchestration platforms (e.g., n8n or similar).</li>
<li>Apply advanced data science techniques, including synthetic data generation where appropriate, to improve model robustness, scalability, and operational efficiency.</li>
<li>Collaborate closely with traders and cross-functional stakeholders to translate business problems into high-quality, data-driven solutions.</li>
<li>Communicate insights and model outputs clearly and concisely, ensuring analytical work drives measurable trading and commercial impact.</li></ul> 
 
Requirements:
<ul>
<li>2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results.</li>
<li>Strong academic background in computer science, mathematics, statistics, or a related field</li>
<li>Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges.</li>
<li>Expertise in Python programming, with an ability to apply it to advanced data science problems.</li>
<li>Applied AI Proficiency: Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications.</li>
<li>Automation Focus: Proven ability to design and implement automated, end-to-end data workflows that leverage AI for efficiency gains.</li>
<li>Knowledge of machine learning algorithms and data visualization tools</li>
<li>Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments</li>
</ul>
This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations. If you possess a passion for data science and a proven track record of success, we encourage you to apply.

Note: Experience in the power trading domain is highly desirable but not essential. We value exceptional talent and the ability to learn quickly. 


Learn more about Cobblestone Energy careers: 
https://cobblestoneenergy.com/careers/

Why work with us: 
https://cobblestoneenergy.com/why-work-with-us/

Recruitment process: 
https://cobblestoneenergy.com/careers/vacancies/#process</div>

Data Scientist - Dubai, UAE

<div>Employment Type: Full-time &amp; Permanent.

Job Location: Dubai, UAE (We provide visa sponsorship &amp; relocation assistance).

Salary: USD 65,000 per annum + performance based bonus - 0% tax environment. 


Employee Share Scheme: Opportunity to join Cobblestone Employee Share Scheme.

Annual Leave: 30 Calendar Days.

Public Holidays: As declared by UAE Government annually (8 to 14 days).

Probation Period: 3 to 6 Months (as per UAE Labour Law).

Health Insurance: Comprehensive Private Health Insurance (IPD, OPD &amp; Dental).

Residency Visa Sponsorship: Provided by the Company.

Relocation Support: Available for candidates relocating to Dubai.

End of Service Gratuity: As per UAE Labour Law. 

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. 

Cobblestone Values
<ul>
<li>Excellence in Hiring &amp; Teamwork</li>
<li>Lifelong Learning Through Continuous Reflection</li>
<li>Independent Thinking Through a Meritocracy of Ideas</li>
<li>Winning</li></ul> 
 
What we offer in this role
<ul>
<li>A full-time position on our Commercial team</li>
<li>Committed and remarkably talented colleagues.</li>
<li>Highly competitive compensation dependent on performance</li>
<li>An exciting, challenging and fulfilling career.</li>
<li>Investment in your development to ensure that you always remain the best in business.</li>
<li>Equity participation for strong contributors, ensuring our interests are all aligned long term.</li></ul> 
 
Key Responsibilities:
<ul>
<li>Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources</li>
<li>Forecasting &amp; Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies</li>
<li>Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions</li>
<li>Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows</li>
<li>AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.</li>
<li>Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.</li>
<li>Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making</li>
<li>Documentation: Maintain clear records of methodologies, data definitions, and model specifications</li>
<li>Culture: Champion our values through proactive communication and teamwork</li></ul> 
 
Your background:
<ul>
<li>Bachelor's or master's degree in Computer Science, Mathematics, Statistics, or a related field</li>
<li>Strong proficiency in programming languages such as Python and R</li>
<li>Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL</li>
<li>Knowledge of data visualization tools such as Matplotlib and Seaborn</li>
<li>Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.</li>
<li>Proven ability to build custom &quot;Agents&quot; or automated workflows that interpret unstructured data or reason through multi-step problems.</li>
<li>Pro-active and flexible work mentality</li>
<li>Interest in data-driven trading</li>
<li>Fluency in English, both written and spoken.</li></ul> 
 
Preferred Background:
<ul>
<li>Proven track record of excellence, academic or professional, in quantitative or analytical roles</li>
<li>Experience working with time-series data, machine learning libraries, or cloud-based data platforms</li>
<li>Demonstrated ability to innovate and drive end-to-end solutions</li></ul> 
 
The Hiring Process
<div>
<ul><li>Application Review</li></ul>
<ul><li>Online Assessments: Psychometric and logical reasoning tests</li></ul>
<ul><li>Case Study: Research-oriented project to showcase your analytical approach</li></ul>
<ul><li>Remote Interviews: Three rounds with members of our Analytics and Trading teams</li></ul>
<ul><li>Offer &amp; Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Data Scientist</li></ul></div> 


Learn more about Cobblestone Energy careers: 
https://cobblestoneenergy.com/careers/

Why work with us: 
https://cobblestoneenergy.com/why-work-with-us/

Recruitment process: 
https://cobblestoneenergy.com/careers/vacancies/#process</div>

Commercial Graduate Scheme, Junior Data Scientist - Dubai, UAE

CERP | Evidence Matters

<div>
 
 
 About CERP
 
 
 
 The Centre for Economic Research in Pakistan, or CERP, is a leading independent nonpartisan policy institution focused on improving decision-making in Pakistan through evidence-informed research, engaging with policy counterparts with real policy challenges, and designing and advising on high-impact reforms based on data. At CERP, we also deploy cutting-edge pedagogy tailored for Pakistan and provide data insights to the private sector on product and process design.
 
 
 
 About Project
 
 
 
 CERP Research Development develops and supports CERP&rsquo;s portfolio of research projects through collaboration with academia, funders, research partners, and government departments. It assists CERP&rsquo;s Research Fellows (faculty and experts based in international and Pakistani universities and multilateral organizations) in starting and managing new research studies hosted at CERP. The Research Development team also conducts research and scoping studies in partnership with CERP Research Fellows. It is involved in organizing international and local academic conferences and dissemination initiatives to share the learnings from CERP-affiliated studies and researchers with policymakers and the public at large.
 
 
 CERP Research Development is partnering with Princeton University&rsquo;s Andlinger Center for Energy and the Environment to develop a new research initiative, Pakistan Energy Sustainability Pathways Project (Net-Zero Pakistan). This rigorous research will be accompanied by consistent coordination with policymakers and stakeholders in Pakistan&rsquo;s energy and economic space, aiming to provide them with a transparent, rigorous, and holistic analysis to explore economy-wide pathways to net-zero greenhouse gases for Pakistan. The project will analyze such pathways&rsquo; impacts on the country's resources, infrastructure, and socio-economic aspects, all the while ensuring that Pakistan achieves its economic growth and development objectives. It will provide spatial and temporal granularity to understand the infrastructure build-out, land use changes, investment required, employment dynamics, and socio-economic outcomes at the industry/sector and community level.
 
 
 The project&rsquo;s Principal Investigators are Chris Greig (Senior Research Scientist, Andlinger Center, Princeton University), Maroof Ali Syed (CEO, CERP), and Syed Uzair Junaid (Director, Research Development).
 
 
 The project is planned to continue till December 2028, with its scoping phase completing by December 31, 2026.
 
 
 
 Role Overview
 
 
 
 The Postdoctoral Researcher will manage and serve as the in-country technical lead for CERP&rsquo;s Net-Zero Pakistan Project, which will build on Princeton University&rsquo;s impactful Net-Zero America (NZA) study that developed granular spatial, temporal, sectoral, technological, and socio-economic analyses to describe different energy-system transition pathways for Pakistan to reach net-zero greenhouse gas emissions. This project aims to inform the country&rsquo;s energy, decarbonization, and economic policymaking for the coming decades.
 
 
 The Postdoctoral Researcher will report to and work closely with the Principal Investigators mentioned above, ensuring that the study plans are executed in a timely and effective manner. He/She will be the technical lead for the in-country team and manage the overall research operations of the project. He/She will liaise with partners, funders, and stakeholders, and supervise other team members on the project.
 
 
 The Postdoctoral Researcher will initially be hired for the project&rsquo;s scoping phase (from April 1 to December 31, 2026) with a strong possibility of extension until the project&rsquo;s completion (December 2028), subject to funding availability and performance.
 
 
 
 
 
 
 
 Job Responsibilitie
 
 
 
 
 s1. Strategic Responsibilitie
 
 
 <ul>
 <li>
 sCollaborate with the PIs, Steering Committee, and the Advisory Committee in developing and executing the study plans
 </li>
 <li>
 .Assist the PIs in fundraising efforts for the Net-Zero Pakistan study, including grant writing, outreach to potential funders, and manage contracting activities
 </li>
 <li>
 .Assist CERP Management and CERP Research Development in developing new projects and initiatives (e.g. grant writing, fundraising, etc.) and in conducting studies beyond the Net-Zero Pakistan project
 </li>
 </ul>
 
 .
 
 2. Project &amp; Stakeholder Managemen
 
 
 <ul>
 <li>
 tManage the overall research operations of the Net-Zero Pakistan Project. Ensure the project&rsquo;s milestones are achieved as per plan and schedule
 </li>
 <li>
 .Develop and maintain strong relationships with research partners, government departments, policymakers, external stakeholders, and teams within the project partner institutes (CERP, Princeton University)
 </li>
 <li>
 .Coordinate approvals, documentation, and MoUs with partner departments, especially those related to data sharing. Organize meetings, negotiations, and engagements with stakeholders
 </li>
 <li>
 .Work with CERP teams to organize project events, such as dissemination and feedback sessions / workshops with stakeholders to share results and gather feedback
 </li>
 <li>
 .Provide periodic progress updates to the PIs, Steering Committee, and the Advisory Committee
 </li>
 <li>
 .Supervise the activities of, and mentor the project team members (Research and Policy Associates)
 </li>
 <li>
 .Oversee the project&rsquo;s grant and budget management along with CERP Finance
 </li>
 </ul>
 
 .3
 
 . Technical &amp; Operational Expertis
 
 
 <ul>
 <li>
 eComplete the scoping phase of the project which entails an academic literature review of prior relevant studies of Pakistan and identifying, gaining access to, and compiling datasets needed for subsequent modelling
 </li>
 <li>
 .Develop a deep understanding of the model/s used for Net-Zero America and current Net-Zero projects through the modelling trainings provided by the Andlinger Center team
 </li>
 <li>
 .Develop the project&rsquo;s 'Methods, Assumptions, Scenarios and Sensitivities (MASS) Report' which provides a complete summary of input assumptions and methods for the study
 </li>
 <li>
 .Adapt the Net-Zero America&rsquo;s model to the context of the Net-Zero Pakistan study, in collaboration with the Andlinger Center team
 </li>
 <li>
 .Run and iterate the models related to all main components of the study: demand projection, demand-side technology, supply-side cost minimization, and downscaling analysis
 </li>
 <li>
 .Oversee the collection, coding, cleaning, and compilation of various data resources in preparation for modeling and analyses
 </li>
 <li>
 .Develop the study&rsquo;s deliverables and knowledge products, along with the PIs
 </li>
 <li>
 .Travel within Pakistan for stakeholder meetings, consultations, and interviews
 </li>
 <li>
 .Oversee the maintenance of comprehensive documentation of research processes, protocols, and methodologies
 </li>
 <li>
 .Perform additional tasks as assigned by the Principal Investigators, CERP Research Development, or CERP Management
 </li>
 </ul>
 
 .Other Duties: This is NOT an exhaustive list of tasks that you will be performing as a Postdoctoral Researcher. You may be assigned additional tasks on other CERP initiatives and projects as deemed necessary by your reporting points, Program or CERP management, or the CERP Board
 
 
 
 .Entry Requirement
 
 
 
 
 s 1. Qualifications &amp; Experienc
 
 
 <ul>
 <li>
 eDoctoral (PhD) degree in economics, applied mathematics, engineering, public policy, or another relevant field
 </li>
 <li>
 .0-5 years of postgraduate experience in a relevant field. Preference will be given to experienced candidates
 </li>
 </ul>
 
 
 .Required Skills
 
 
 <ul>
 <li>
 :Demonstrated experience of conducting rigorous research that involves modelling
 </li>
 <li>
 .Strong programming skills (using common languages, such as Python, Julia, etc.) for modelling, data cleaning, analysis, and visualization
 </li>
 <li>
 .Experience with managing, processing and analyzing large datasets
 </li>
 <li>
 .Strong scientific writing and presentation skills, and interest in and experience of publishing in leading academic journals
 </li>
 </ul>
 
 
 .Preferred Skills
 
 
 <ul>
 <li>
 :Experience in as many of the following areas as possible
 </li>
 <li>
 :Energy-system transition modelin
 </li>
 <li>
 gLinear and mixed integer optimization programming
 </li>
 <li>
 ,Energy-related techno-economic assessmen
 </li>
 <li>
 tIntegration of country-specific data for economy-wide energy system decarbonization model
 </li>
 <li>
 sGeospatial modeling methods and tool
 </li>
 <li>
 sDomain knowledge in energy systems analysis, power systems, renewable energy grid integration, and energy-using technologies and processes in transport, buildings, and industry sectors
 </li>
 <li>
 .Experience of working on projects that involve collaboration with multiple stakeholders and partner
 </li>
 <li>
 sStrong interpersonal skills to effectively manage research team
 </li>
 </ul>
 
 
 
 s
</div>

Postdoctoral Researcher

Oceanic Group of Companies

JOB REQUIREMENT FOR DATA ANALYST1. JOB SUMMARYWe are seeking a detail-oriented and analytical Data Analyst to collect, process, and interpret data to support business decision-making. The ideal candidate will transform raw data into meaningful insights, generate reports, and assist management in identifying trends, risks, and opportunities.2. KEY RESPONSIBILITIES<ul><li>Collect, clean, and validate data from multiple sources.</li><li>Develop and maintain dashboards and reports for management review.</li><li>Analyze trends, patterns, and performance metrics.</li><li>Support business units with data-driven insights for decision-making.</li><li>Prepare periodic MIS (Management Information System) reports.</li><li>Automate reporting processes to improve efficiency and accuracy.</li><li>Ensure data integrity, consistency, and confidentiality.</li><li>Work with cross-functional teams to understand reporting requirements.</li><li>Present findings in a clear and actionable format.</li><li>Assist in KPI tracking and performance monitoring</li><li>TECHNICAL SKILLS</li><li>Proficiency in MS Excel (Advanced Level &ndash; Pivot Tables, VLOOKUP, Power Query).</li><li>Knowledge of Power BI / Tableau or other BI tools.</li><li>Basic SQL knowledge for data extraction and management.</li><li>Familiarity with reporting tools and databases.</li><li>Strong understanding of data visualization techniques.</li><li>CORE COMPETENCIES</li><li>Strong analytical and problem-solving skills.</li><li>Attention to detail and accuracy.</li><li>Good communication and presentation skills.</li><li>Ability to manage multiple tasks and deadlines.</li><li>Critical thinking and business understanding.</li><li>Team collaboration and coordination.</li><li>KEY PERFORMANCE INDICATORS (KPIs)</li><li>Accuracy of reports and data analysis</li><li>ADDITIONAL REQUIREMENTS</li><li>Ability to handle confidential data with integrity.</li><li>Willingness to learn new tools and technologies.</li><li>Strong business acumen and understanding of organizational goals.</li><li>Timely submission of MIS reports.</li><li>Improvement in reporting efficiency.</li><li>Quality of insights provided to management.</li><li>Data error reduction rate.</li><li>Dashboard usability and adoption by departments.</li></ul>Pay: Rs100,000.00 - Rs120,000.00 per monthApplication Question(s):<ul><li>&bull;	Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, IT, or related field.</li><li>Certification in Data Analytics or Business Intelligence will be an advantage</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Data Analyst : 3 years (Preferred)</li></ul>Work Location: In person

Data Analyst

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