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Accelerate Prosperity Pakistan

<div><div><div><div>Posted date</div> <div>31st March, 2026</div> <div>Last date to apply</div> <div>14th April, 2026</div>
</div> 
<div><div>Country</div> <div>Pakistan</div> <div>Locations</div> <div>Islamabad/Gilgit</div>
</div> 
<div><div>Category</div> <div>Research
</div></div> 
<div><div>Position</div> <div>1</div>
</div> 
<div><div>Experience</div> <div>1 years</div></div></div></div>
 <div>Title: Data Fellow
<div>
Report to: Monitoring Evaluation Research (MER) &amp; Data and Insights Manager<div></div><div>News</div></div>

Location: Islamabad/Gilgit

Contract Type: Short Term 

<div>
Background
</div>Accelerate Prosperity (AP) is a global initiative of the Aga Khan Development Network (AKDN) in Central and South Asia, which follows guidance from the Aga Khan Foundation (AKF) Board to develop more formal structures to catalyze enterprises within AKDN&rsquo;s main area development programs, where economic opportunities remain insufficient. Through patient capital and tailored business advisory to startups and businesses, AP complements broader employment-related programs of AKF and draws significantly on technical expertise from the Aga Khan Fund for Economic Development&rsquo;s (AKFED) Industrial Promotion Services (IPS), and coordinates efforts with the AKDN&rsquo;s financial institutions, the University of Central Asia and many other national partners.

The organization implements programs that require strong monitoring, evaluation, research, and data-driven insights to support evidence-based decision-making. To strengthen the MER and Insights Function, the Research/Data Fellow will support the MER &amp; Data and Insights Lead in administering surveys, data quality checks, market assessments, data management, and reporting activities.
<div>
Key Responsibilities</div>
<ul><li>Support data cleaning, validation, and preparation of datasets for analysis.</li>
<li>Assist in preparing analytical reports, dashboards, presentations, and visualizations.</li>
<li>Track progress against program indicators and support generation of insights for program improvement.</li>
<li>Provide operational and administrative support including scheduling, documentation, and correspondence.</li>
<li>Coordinate communication with consultants, vendors, and field teams involved in research activities.</li>
<li>Maintain organized documentation of assessments, lessons learned, and knowledge products.</li>
<li>Extract and analyze data insights to inform program design, implementation, and decision-making.</li>
</ul><div>Qualifications</div>

 Education: Bachelor&rsquo;s degree in economics, Business Studies, Statistics, Data Science, of any other related field in Social Sciences. 
Experience: 1&ndash;3 years of experience in research projects or data analytics. 
<div>Skills</div>
<div>
Strong analytical and organizational skills; proficiency in Excel and Canva; familiarity with data tools such as Ona Data and PowerBI.<div></div><div>Economics</div></div>
<div>
Soft Skills:</div>
<ul><li>Excellent written and oral communication skills in English and Urdu.</li>
<li>Strong presentation skills.</li>
<li>Highly proactive and passionate about work.</li>
<li>Capable of producing high quality results within often tight deadlines.</li>
<li>Ability for multitasking and working under pressure.</li>
<li>Ability to distill large volumes of data in short periods of time.</li>
<li>Intellectual curiosity and demonstrated record of professional development/growth.</li>
<li>Strong problem-solving skills and the ability to work through complex models to determine the key assumptions, implicit caveats and limitations.</li>
<li>Demonstrated ability to work cooperatively with all levels of management.</li>
</ul>
NOTE: AKRSP offers a competitive remuneration package and a conducive working environment. We are an equal opportunity employer. Our recruitment and selection policy and procedures reflect our commitment to the safeguarding of children and adults by safeguarding policy. Only online applications submitted through this website before the deadline will be considered for further processing. Only shortlisted candidates will be contacted for the test/interview.</div>

Data Fellow

Zones IT Solutions

<div>
 
 Description
 
 
 
 Company Overview:
 
 
 When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there&rsquo;s really only one: Zones &ndash; First Choice for IT.TM
 
 
 Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud &amp; Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook.
 
 
 Position Overview
 
 
 The Data Engineer will build and manage the end-to-end data ecosystem across pipelines, transformations, modeling, quality, and monitoring in an Azure-first environment. As the data engineer for the team, this role requires strong technical depth, full ownership, and the ability to support both operational and analytical data needs. The ideal candidate brings hands-on expertise with Azure Data Factory, Azure Databricks, Azure SQL, and integrations with APIs and Azure services, and is comfortable managing data pipelines, ensuring data quality, enabling security, and supporting Power BI datasets to deliver reliable and well-structured data to the business.
 
 
 
 What You&rsquo;ll Do As The Data Engineer
 
 
 
 Employees employed in the role of Data Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.
 
 
 The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and maintain data pipelines using Azure Data Factory for batch and incremental loads.
 </li>
 <li>
 Develop transformation workflows in Azure Databricks.
 </li>
 <li>
 Design and optimize Azure SQL schemas, tables, queries, indexes, and stored procedures.
 </li>
 <li>
 Integrate data from APIs, Logic Apps, and Function Apps, ensuring accuracy and consistency.
 </li>
 <li>
 Implement data quality, validation, and monitoring, with alerts and health checks for pipelines.
 </li>
 <li>
 Ensure data security and governance, including PII handling, access policies, and Key Vault.
 </li>
 <li>
 Collaborate with application and integration engineers on API-driven and event-driven data requirements.
 </li>
 <li>
 Support Power BI at a basic level (datasets, model optimization, refresh schedules)
 
 
 </li>
 </ul>
 
 What You Will Bring To The Team
 
 
 
 <ul>
 <li>
 Around 5 years of hands-on experience as a Data Engineer with end-to-end ownership of data pipelines and models.
 </li>
 <li>
 Strong expertise in:
 </li>
 <ul>
 <li>
 Azure Data Factory (ADF)
 </li>
 <li>
 Azure Databricks
 </li>
 <li>
 Azure SQL
 </li>
 </ul>
 <li>
 Solid understanding of ETL/ELT patterns, data modeling, and orchestration.
 </li>
 <li>
 Comfortable integrating with APIs, Logic Apps, and Function Apps.
 </li>
 <li>
 Working knowledge of Power BI datasets and refresh management.
 </li>
 <li>
 Clear communication skills and the ability to work independently and cross-functionally.
 
 </li>
 </ul>
 Zones offers a comprehensive Benefits package
 
 
 At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.
 
 
 We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.
 
 
 All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
 
 
 Job Timings: 8:00 PM to 5:00 AM (Pakistan Time)
 
 
</div>

Data Engineer

Awami Financial (Private) Limited

We are looking for a Data Analyst to join our team and turn data into actionable insights. The role involves analyzing customer and transaction data, building dashboards, and supporting decision-making with accurate reporting.Key Responsibilities:&middot; Manage and maintain customer and loan data records.&middot; Ensure data accuracy, confidentiality, and security in compliance with company policies.&middot; Develop and maintain reporting dashboards for management and operational use.&middot; Conduct data analysis to generate insights that support decision-making and business growth.&middot; Collaborate with internal teams to optimize data processes and workflows.Requirements:&middot; Bachelor&rsquo;s degree in Data Science, IT, Statistics, or related field.&middot; 1&ndash;2 years of proven experience in data management.&middot; Strong proficiency in MS Excel, SQL, and data visualization tools (e.g., Power BI, Tableau).&middot; Understanding of data security, compliance, and governance practices.&middot; Excellent analytical, problem-solving, and communication skills.Job Type: Full-timeWork Location: In person

Data Analyst

Job Bank Recruitment Network

DATA ENGINEER &mdash; AI &amp; MODEL TRAININGJob Bank &mdash; AI Business Engine DevelopmentLocation: Remote (Pakistan) Language: Must speak Fluent EnglishSalary: Competitive &mdash; Based on Experience---About Job BankJob Bank is a UK‑focused platform helping people start recruitment and training businesses through two simple annual plans (&pound;100 &amp; &pound;200). We are now building Job Bank AI &mdash; a specialised AI system designed to help users create and scale their own recruitment or training business.Our AI ecosystem includes:<ul><li>Recruitment AI</li><li>Training &amp; Course AI</li><li>Business Builder AI</li><li>Marketing/Outreach AI</li><li>AI Assistants (Recruiter / Trainer / Business Coach / Operations)</li><li>Business Engine (AI Tool Suite)</li></ul>We are building a vertical AI platform, with deep industry‑specific intelligence &mdash; NOT a generic chatbot.This is your opportunity to become a foundational part of a fast‑growing AI product used across the UK.---Role OverviewWe are looking for a Data Engineer who can prepare, structure, clean and optimise datasets for AI fine‑tuning and retrieval systems.Your work will directly power:<ul><li>fine‑tuned recruitment models</li><li>training/course intelligence</li><li>business‑building AI</li><li>outreach and marketing AI</li><li>autonomous AI assistants</li><li>AI-driven games and simulations</li></ul>This role is crucial to the accuracy, reliability and performance of Job Bank AI.---Key ResponsibilitiesData Preparation &amp; Engineering<ul><li>Collect datasets related to recruitment, training, business planning, marketing, and operations</li><li>Clean and standardise raw data (text, CSV, JSON, documents)</li><li>Label and structure data into instruction formats for LLM training</li><li>Build datasets for fine‑tuning small/medium models</li><li>Develop evaluation datasets for model scoring</li></ul>Data Architecture &amp; Pipelines<ul><li>Build and maintain ETL pipelines for AI model ingestion</li><li>Create scalable data workflows to support training cycles</li><li>Manage datasets using tools like Pandas, PySpark or equivalent</li><li>Optimise dataset quality, consistency, and token efficiency</li></ul>Vector Databases &amp; Retrieval<ul><li>Work with embeddings and vector databases (FAISS, Chroma, Pinecone, Weaviate)</li><li>Build and maintain retrieval datasets for RAG systems</li><li>Ensure high‑quality indexing for search, scoring and assistant use</li></ul>AI Model Support<ul><li>Support AI/ML engineers during fine‑tuning cycles</li><li>Prepare domain‑specific datasets for niche models</li><li>Validate and test model outputs against evaluation sets</li><li>Assist with dataset revisions and incremental model improvements</li></ul>Collaboration<ul><li>Work with AI Engineers to support model training</li><li>Work with Full‑Stack Developers to integrate datasets into the platform</li><li>Work directly with the founder to align on roadmap and priorities</li></ul>---Technical Skills (Must Have)Data Engineering<ul><li>Data cleaning, validation, normalisation</li><li>ETL pipeline development</li><li>JSON, CSV, XML processing</li><li>Strong Python (Pandas, NumPy)</li><li>Experience with large text datasets</li><li>Dataset versioning and quality control</li></ul>AI/Data Skills<ul><li>Experience preparing datasets for LLM fine‑tuning</li><li>Understanding of instruction tuning formats</li><li>Embeddings &amp; vector stores (FAISS, Pinecone, Chroma)</li><li>RAG data preparation</li><li>Working knowledge of tokenisation and dataset optimisation</li></ul>General<ul><li>Strong attention to detail</li><li>Ability to work quickly and independently</li><li>Fluent English communication skills</li><li>Experience supporting AI development teams</li><li>Ability to think like a product-focused engineer</li></ul>---Bonus Skills (Nice to Have)<ul><li>Experience with recruitment or training datasets</li><li>Knowledge of course design or HR workflows</li><li>Familiarity with LangChain, LlamaIndex, or similar</li><li>Exposure to machine learning pipelines</li><li>Experience working with international/remote teams</li></ul>---What We Offer<ul><li>Competitive salary (based on expertise)</li><li>Long‑term role with growth potential</li><li>Work on a high‑impact AI product</li><li>A stable, ambitious product roadmap</li><li>Flexible remote working</li><li>Supportive, fast‑paced, visionary team</li><li>Opportunity to build category‑defining AI</li></ul>---Why This Role MattersYou will be the engine behind our AI intelligence. Your datasets will shape:<ul><li>how accurately the AI writes job ads</li><li>how well it scores CVs</li><li>how intelligent the business plans are</li><li>how powerful the training/courses become</li><li>how effective the assistants behave</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs100,000.00 per monthWork Location: Remote

S&P Global

About the Role: 
Grade Level (for internal use): 07
 The Team: The current opening is with S&P’s Transactions division that publishes Mergers & Acquisitions and Capital Market data. We collect and validates data using search tools, press releases, company websites, stock exchange websites and regulatory filings with a view to provide in-depth, accurate and timely information about different types of corporate actions such as M&A, placements, offerings, buybacks etc., which is then provided to our clients in the form of a formulated end product for S&P Global Market Intelligence.
 
The Impact: This role will influence transactions dataset. In addition to collecting and validating the data, this role may require working with peers, other stakeholders and on process improvement projects. This position is an excellent stepping stone to understand M&A, PO and PP domain, that will allow you to gain a comprehensive understanding through financial reporting standards, and enable you to learn facets of corporate actions, and as well as apply this knowledge to your daily responsibilities.
 What’s in it for you: Primarily responsible for day-to-day collection and validation of transactions. Once strong fundamental understanding of the dataset and proficiency at workflows is developed, this role would require working with new talent to develop/enhance their skillset and working on process improvement projects including LEAN/automation projects that supports multiple SPGMI products.
 
Key Responsibilities: 
<ul>
<li>High quality data collation, analysis, extraction and entering the data in work tools as per guideline specifications.</li>
<li>Extract and validate required information using search tools, press releases and websites, trade documents and regulatory filings</li>
<li>Understand the working of the dataset, be aware of the workflows and have strong working knowledge of work tools</li>
<li>Deliver on predefined individual and team targets including delivering outcomes with quality and excellence.</li>
<li>Provides input and ideas for new collection methods and product enhancements related to the dataset</li>
<li>Work on projects as an when they come up and ensure that they are completed within the given time span maintaining the desired quality</li>
<li>Troubleshoots problems or issues and provide support to the team</li>
</ul>
Basic Qualifications: 
Bachelors/ master's in finance.
 Fresher or up to 6 months of experience in Financial Research, Data Analytics and Quality Assurance
 Good research and analytical skills
 Articulate and fluent communication
 Knowledge of SQL and VBA is preferred
 Ability to handle multiple tasks simultaneously
 Ability to work and communicate effectively with stakeholders globally
 Willingness to work in all shifts on rotational basis (Morning, Evening & Night)
 
What’s In It For You?
 
Our Mission: 
Advancing Essential Intelligence.
 
Our People: 
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
 
Our Values: 
Integrity, Discovery, Partnership
 
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
 
Benefits: 
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
 
Our benefits include: 
Health & Wellness: Health care coverage designed for the mind and body.
 
Flexible Downtime: Generous time off helps keep you energized for your time on.
 
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
Global Hiring and Opportunity at S&P Global: 
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
Recruitment Fraud Alert: 
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
 
-----------------------------------------------------------
 
Equal Opportunity Employer
 S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
US Candidates Only: Know Your Rights: Workplace discrimination is illegal
 ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
 
Job ID: 325877
 Posted On: 2026-03-30
 Location: Islamabad, Islamabad, Pakistan

Seeka Technology

<div>Company Description 
Great internships are not only the ones that prepare you for the work you hope to do after completing your studies, but they are also the ones that help you realise what work you&rsquo;re currently best suited for and where you might really fit in the working world. We give our interns work that help push their limits and capabilities whenever and wherever possible to prepare them for a future where new job opportunities may require you to become more skilled and efficient workers, especially with the rise of innovation in both business and IT.
SEEKA Technologies (Not Seeka Limited) is a project under its parent organization called Fresh Futures Australia which is an education consultant based in both Australia and Malaysia. We are developing and creating a platform that utilises A.I. to help match students and job seekers to the right opportunities relevant to them from Kindergarten up to the University along with vocational training centers and language schools and ofcourse to businesses and companies who need the right candidates. Our mission is to make it easier for anyone to find, filter and apply to educational institutions and companies in a more seamless manner.
We are currently looking to hire interns who want to work on the psychological aspects of human behavior, interaction and productivity with our application or website as well as explore how psychology plays a role in both the education industry and system. We are a company that recognizes the versatility of psychology majors and how applicable their skills are to a whole range of fields related to business, marketing, public relations, social media and more.
Bellow are the important details you will need to take note of:<ul><li>
Only English is spoken on the job</li><li>
The minimum number of internship months we can accept is 2 months</li><li>
Both International Students and Locals are welcome to apply for this position</li></ul> 

Job Description 
About the role
We are looking for a Backend AI &amp; Data Pipeline Engineer to own the end-to-end data processing infrastructure that powers Yuzee's intelligent course and job matching platform. You will design and maintain scalable, event-driven pipelines that process tens of thousands of daily records, generate semantic embeddings, and feed a growing knowledge graph used for personalised career pathway recommendations.
What you'll do<ul><li>
Design and maintain three distinct processing pipelines &mdash; scheduled job ingestion, event-driven course processing, and a periodic knowledge graph builder &mdash; each with independent trigger logic and cost controls</li><li>
Generate and manage semantic embeddings via Amazon Bedrock (Titan v2), index them in MongoDB Atlas Vector Search, and calibrate similarity thresholds to ensure match accuracy</li><li>
Build and maintain a knowledge graph linking jobs, courses, skills, and industries using FP-Growth association rules and archetype-to-SOC code mapping</li><li>
Build and improve a two-stage discovery and matching API on AWS Lambda &mdash; vector retrieval first, then deep eligibility scoring with LLM re-ranking</li><li>
Right-size Fargate Spot instances and design resumable processing loops that tolerate interruption, keeping infrastructure costs under control as data volume scales</li><li>
Maintain and improve daily job scrapers across multiple sources and build institution data scrapers with robust HTML cleaning pipelines</li></ul>
What we're looking for<ul><li>
1+ years of backend engineering experience focused on data pipelines, ML infrastructure, or search systems</li><li>
Hands-on experience with AWS serverless and container services &mdash; Lambda, ECS Fargate, EventBridge, and Step Functions</li><li>
Strong Python skills &mdash; Pandas, async processing, bulk database operations, and text cleaning</li><li>
Familiarity with vector databases and semantic similarity search; MongoDB Atlas Vector Search experience is a strong plus</li><li>
Cost-conscious infrastructure mindset &mdash; you think in per-record compute costs, free tiers, Spot resilience, and right-sizing</li><li>
Ability to document and communicate complex architecture clearly to both technical and non-technical stakeholders</li></ul>
Nice to have<ul><li>
Experience with knowledge graphs or association rule mining (FP-Growth, Apriori)</li><li>
Experience using LLMs for re-ranking or eligibility assessment on top of vector retrieval results</li><li>
Background in edtech, jobtech, or recommendation/matching systems</li></ul> 

Qualifications 
Degree or existing proven experience 
Additional Information 
Benefits<ul><li>
You can work from home for the whole internship period</li><li>
A reference letter can be requested upon completion of internship</li><li>
A bit of flexibility with working time aside from the usual 9am to 6pm (Ex. 8am to 5pm / 7:30am to 4:30pm)</li><li>
The possibility of retainment for part-time or Full-time work post-internship based on your performance, even if you are not based in Malaysia</li></ul></div>

Backend AI & Data Pipeline Engineer

NCRI

<div>We are seeking a Director of Data Science &amp; AI Enablement to lead the strategy, implementation, and adoption of Artificial Intelligence across the organization. This leadership role will drive innovation and operational excellence by enabling data-driven decision-making, advancing AI capabilities, and delivering hyper-personalized financial services for customers.
The Director will oversee the AI strategy across four key pillars:<ul><li>
AI for Everyone: Improving employee productivity through AI tools</li><li>
AI for Citizen Innovators: Enabling teams to build custom automations</li><li>
AI for Builders: Accelerating engineering through AI-powered development</li><li>
AI for Customers: Delivering AI-powered products and personalized customer experiences</li></ul>
This role leads the Data Science &amp; AI Enablement team, manages the AI model lifecycle, and partners with business and technology leaders to embed AI capabilities across the organization.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
AI Strategy &amp; Leadership</h3><ul><li>
Define and execute the enterprise AI strategy aligned with organizational goals.</li><li>
Lead the Data Science &amp; AI Enablement team, ensuring operational reliability of deployed AI and LLM models.</li><li>
Direct the full AI/ML lifecycle including model selection, fine-tuning, prompt engineering, RAG design, benchmarking, and evaluation.</li><li>
Establish and lead the AI Center of Excellence (COE) and AI governance frameworks.</li><li>
Partner with Enterprise Architecture, Cybersecurity, and Technology leadership to ensure compliance, security, and scalability of AI systems.</li></ul><h3 class="jobSectionHeader">
AI Innovation &amp; Business Impact</h3><ul><li>
Identify and deliver AI opportunities across business units to improve productivity, operations, and customer experience.</li><li>
Collaborate with product teams to develop AI-driven products and insights.</li><li>
Build advanced machine learning models leveraging large datasets (transactional, marketing, and behavioral data).</li><li>
Translate complex analytical insights into business strategies and measurable outcomes.</li></ul><h3 class="jobSectionHeader">
Cross-Functional Collaboration</h3><ul><li>
Work with engineering teams to productionize machine learning solutions.</li><li>
Partner with stakeholders across product, marketing, operations, customer support, and technology to solve business challenges with AI.</li><li>
Promote a data-driven culture through internal training, workshops, and thought leadership.</li></ul><h3 class="jobSectionHeader"> 
People Leadership</h3><ul><li>
Lead and mentor a high-performing data science and AI team.</li><li>
Align team goals with organizational strategy and forecast future resourcing needs.</li><li>
Foster professional growth and ensure knowledge sharing across teams.</li><li>
Remove operational blockers and enable teams with the tools and processes needed for success.</li></ul><h2 class="jobSectionHeader"> 
Qualifications</h2><ul><li>
Master&rsquo;s or PhD in Mathematics, Statistics, Computer Science, Actuarial Science, or related field</li><li>
Strong background in machine learning, statistics, probability, and algorithms</li><li>
Experience with Python, Scala, R, SQL and machine learning frameworks such as PyTorch, Keras, Scikit-learn, or SparkML</li><li>
Familiarity with cloud platforms (Google Cloud preferred, AWS, Azure)</li><li>
Experience with data visualization tools (Power BI or similar)</li><li>
Proven leadership experience managing data science or AI teams</li><li>
Experience in financial services, brokerage, or retail banking preferred</li><li>
Strong ability to communicate complex technical concepts to business stakeholders</li></ul></div>

Director/Manager, Data Science & AI Enablement

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Director/Manager, Data Science & AI Enablement