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assurance risk modeling services ai data scientist senior associate

PwC Acceleration Center India

<div>
 A career within Actuarial Services, will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third party administrators. You&rsquo;ll provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modelling, underwriting, new legislation, and the efficiency of claims or reporting processes. Simply put, you might help analyse the impact that new regulation will have on an insurance company&rsquo;s balance sheet or you could be revising businesses&rsquo; projections and making sure they have adequate reserves.
 
 
 To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
 
 
 
 Responsibilities
 
 
 
 As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
 
 
 <ul>
 <li>
 Use feedback and reflection to develop self awareness, personal strengths and address development areas.
 </li>
 <li>
 Delegate to others to provide stretch opportunities, coaching them to deliver results.
 </li>
 <li>
 Demonstrate critical thinking and the ability to bring order to unstructured problems.
 </li>
 <li>
 Use a broad range of tools and techniques to extract insights from current industry or sector trends.
 </li>
 <li>
 Review your work and that of others for quality, accuracy and relevance.
 </li>
 <li>
 Know how and when to use tools available for a given situation and can explain the reasons for this choice.
 </li>
 <li>
 Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
 </li>
 <li>
 Use straightforward communication, in a structured way, when influencing and connecting with others.
 </li>
 <li>
 Able to read situations and modify behavior to build quality relationships.
 </li>
 <li>
 Uphold the firm's code of ethics and business conduct.
 </li>
 <li>
 Help contribute to the development of GenAI solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS).
 </li>
 <li>
 Apply econometric modeling techniques such as generalized linear models (GLMs), time series analysis, and semi-parametric models (e.g., fractional response models).
 </li>
 <li>
 Utilize machine learning models including XGBoost, random forests, and support vector machines.
 </li>
 <li>
 During the development, validation, and monitoring of models, ensure compliance with model-related regulatory requirements and standards such as SR 11-7, Colorado SB21-169, NIST, ISO 42001, and the NAIC Model Bulletin.
 </li>
 <li>
 Experience with programming languages and environments such as Python, R, Databricks, and React.
 </li>
 <li>
 Enforce DevOps best practices, including version control (Git), CI/CD, test automation, infrastructure as code, system monitoring, and cross-functional collaboration.
 </li>
 <li>
 Design, develop, and deploy AI models in real-world client and business environments.
 </li>
 <li>
 Monitor and research emerging AI trends, fostering an agile, forward-looking development environment.
 </li>
 <li>
 Support project delivery and work with clients to process structured and unstructured data to improve business processes, workflows, and decision-making.
 </li>
 <li>
 Support the documentation and technical analysis efforts for validators, auditors, and regulators; clearly communicate complex concepts to non-technical stakeholders.
 </li>
 <li>
 Work with cross-functional teams&mdash;data engineers, architects, and data scientists&mdash;to deliver efficient, high-quality solutions aligned with client needs.
 </li>
 <li>
 Support business development efforts, including the technical sales cycles and the client proposal process.
 </li>
 <li>
 Support the development of internal GenAI assets and foundational capabilities to grow the firm&rsquo;s practice.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Minimum Educational Qualifications:
 
 
 
 A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or another related technical field.
 
 
 
 Credentials - Good To Have
 
 
 
 A master's degree or PhD in a related field from a premium institute is preferred but is not required.
 
 
 Min years of Experience Requirement (Credential) - 3-4 years
</div>

Assurance - Risk Modeling Services- AI Data Scientist- Senior Associate

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 Assistant Manager: Data Scientist &ndash; Brand Research &amp; Insights
 
 
 Looking for candidates who can support the strategic marketers with advanced analytics, data-driven insights, predictive modeling, and AI-enabled solutions to elevate research, campaign strategy, and reporting. Someone with experience in data science, statistical modeling, data visualization, and marketing analytics&mdash;who is adept at turning complex data into actionable recommendations. The ideal candidate is collaborative, innovative, and eager to learn, with the ability to quickly adapt to changing business requirements and marketing priorities.
 
 
 Key skills and professional experience:
 
 
 <ul>
 <li>
 Overall, 7+ years&rsquo; experience with at least 5+ years of relevant data science, statistical analysis, or marketing analytics experience, ideally with exposure to U.S./Global marketers or professional services.
 </li>
 <li>
 Good knowledge of data science, machine learning, and AI concepts&mdash;including regression, clustering, predictive modeling, and data mining.
 </li>
 <li>
 Hands-on experience with programming languages such as Python and/or R, and proficiency in statistical software (SPSS, SAS, or similar).
 </li>
 <li>
 Proficiency in data visualization tools such as Power BI and Tableau, with the ability to present complex analyses in intuitive graphical and tabular formats.
 </li>
 <li>
 Experience with Generative AI tools and techniques (e.g., large language models, prompt engineering, or AI-driven analytics) is a strong plus.
 </li>
 <li>
 Familiarity with survey programming platforms (Qualtrics, Decipher) and secondary research databases (EIU, EMIS, Gartner, IDC, etc.) is advantageous.
 </li>
 <li>
 Excellent analytical and problem-solving skills, with the ability to synthesize large datasets, spot trends, and draw logical inferences.
 </li>
 <li>
 Strong project management skills&mdash;ability to scope, plan, execute, and deliver analytics projects on time.
 </li>
 <li>
 Collaborative and team-oriented, with a proven ability to manage multiple activities and competing demands simultaneously.
 </li>
 <li>
 Strong communication skills, able to translate technical findings into actionable business insights and present them to non- technical stakeholders.
 </li>
 <li>
 Attention to detail and quality, with a track record of ensuring data integrity and actionable recommendations.
 
 
 </li>
 </ul>
 Work you&rsquo;ll do
 
 
 As a Data Scientist, you will support marketing analytics, advanced research, and campaign strategy for various industries, markets, and functions. You will conduct deep-dive analyses, build predictive models, and generate actionable insights to inform marketing decisions and drive business growth. You&rsquo;ll be expected to proactively identify new opportunities for data- driven marketing, quickly analyze information, spot exceptions or trends, and conduct required follow-up. You should be team-oriented, able to manage multiple projects, and comfortable collaborating with marketers, researchers, and leadership.
 
 
 Key job responsibilities include:
 
 
 <ul>
 <li>
 Advanced analytics and modeling:
 </li>
 <li>
 Develop and implement statistical models (e.g., regression, clustering, segmentation) and machine learning algorithms to extract insights from marketing, survey, and external data.
 </li>
 <li>
 Leverage Generative AI and other emerging technologies to enhance marketing research and campaign effectiveness.
 </li>
 <li>
 Conduct exploratory data analysis to identify trends, patterns, and actionable insights.
 </li>
 <li>
 Create dashboards, infographics, and visualizations to communicate findings to stakeholders.
 </li>
 <li>
 Marketing and business research:
 </li>
 <li>
 Analyze market, client, and competitor data to inform marketing strategy and campaign planning.
 </li>
 <li>
 Oversee brand data and analytics to identify emerging market trends and opportunities for Deloitte.
 </li>
 <li>
 Collaboration:
 </li>
 <li>
 Build strong relationships with marketers, researchers, and leadership to understand business needs and deliver impactful analytics solutions.
 </li>
 <li>
 Regularly interact with marketing teams to adapt to changing requirements and priorities.
 </li>
 <li>
 Day-to-day responsibilities:
 </li>
 <li>
 Collaborating with teams leads to manage workflow, ensuring adequate resources, and supporting work requests.
 </li>
 <li>
 Contribute to knowledge sharing and continuous improvement of analytics capabilities within the team.
 
 
 </li>
 </ul>
 Location: Hyderabad
 
 
 Shift timings: 11am &ndash; 8pm
 
 
 The team
 
 
 The Brand Research &amp; Insights (BR&amp;I) team is part of the broader Brand Marketing &amp; Communications team. The USI BR&amp;I team supports strategic marketers in developing and implementing effective marketing strategies and plans across industries, regions, and functions. The team provides a wide range of services, which help the Business Chief Marketing Officers, Strategic Marketers, and Partners, Principals, and Directors (PPDs) expand client relationships and build Deloitte&rsquo;s presence and reputation in the market. It develops marketing and research-based insights through competitive intelligence reports, executive profiles, persona-based research, event analysis, research material, and marketing brochures to equip leadership teams to drive strategic initiatives and win business for the firm.
 
 
 
 Qualifications
 
 
 
 Required: Master&rsquo;s degree in Statistics, Mathematics, Data Science, or a related field. Bachelor&rsquo;s degree in Statistics, Mathematics/ B.Tech
 
 
 How you&rsquo;ll grow
 
 
 At Deloitte, we&rsquo;ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities&mdash;including exposure to leaders, sponsors, coaches, and challenging assignments&mdash;to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources, including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices, is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people&rsquo;s growth and development. Explore DU: The Leadership Center in India
 
 
 
 Benefits
 
 
 
 At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
 
 
 Deloitte&rsquo;s culture
 
 
 Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte.
 
 
 Corporate citizenship
 
 
 Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte&rsquo;s impact on the world.
 
 
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 312839
</div>

Hyderabad - Data Scientist - Assistant Manager

ProPharma

<div>
 For the past 20 years, ProPharma has improved the health and wellness of patients by providing advice and expertise that empowers biotech, med device, and pharmaceutical organizations of all sizes to confidently advance scientific breakthroughs and introduce new therapies. ProPharma partners with its clients through an advise-build-operate model across the complete product lifecycle. With deep domain expertise in regulatory sciences, clinical research solutions, quality &amp; compliance, pharmacovigilance, medical information, and R&amp;D technology, ProPharma offers an end-to-end suite of fully customizable consulting solutions that de-risk and accelerate our partners&rsquo; most high-profile drug and device programs.
 
 
 
 Job Summary
 
 
 
 The Pharmacovigilance (PV) Scientist supports the activities in the Benefit Risk group by ensuring that day-to-day operational activities are completed. The PV Safety Scientist is expected to be professional and diligent and liaise with the director and management group members within the team on any issues, as well as coordinate the work with the senior PV Scientists. The PV Safety Scientist is also expected to lead by example and ensures quality standards are upheld within the company.
 
 
 
 Essential Functions
 
 
 
 <ul>
 <li>
 Authoring of Aggregate reports (PSURs/PBRERs, PADERs/Annual Reports/ ACO/ DSUR) for submission to local and other Health Authorities.
 </li>
 <li>
 Authoring of Risk Management Plans (RMPs) as a part of regular Pharmacovigilance activities.
 </li>
 <li>
 Authoring of Signal Management Reports.
 </li>
 <li>
 Performing literature search and validity check for the aggregate reports.
 </li>
 <li>
 Reconciliation of relevant process trackers.
 </li>
 <li>
 Extraction and validation of data (RSI, Sales, previous reports, RMP, signals).
 </li>
 <li>
 Generation of Line Listings (LL) from safety database
 </li>
 <li>
 </li>
 <li>
 Providing reliable support for high priority Ad-hoc activities.
 
 
 </li>
 </ul>
 
 Necessary Skills And Abilities.
 
 
 
 <ul>
 <li>
 Analytical and problem-solving skills.
 </li>
 <li>
 Sound organizational skills
 </li>
 <li>
 Able to work within a team in an open and professional manner
 </li>
 <li>
 Excellent attention to detail and focus on quality
 </li>
 <li>
 Understanding of ICH-GCP, FDA, EMA and other relevant Global regulations related to PV
 </li>
 <li>
 Demonstrable ability to analyze and quantify large volumes of data in a concise and scientific manner, in keeping with regulatory deadlines.
 </li>
 <li>
 Awareness of global culture and willingness to work in a matrix environment
 </li>
 <li>
 Knowledge in other pharmacovigilance processes, ability to author/update SOPs or WIs, to identify and author deviations/CAPAs."
 </li>
 <li>
 Ensuring that deliverables to the clients comply with the relevant regulatory requirements and are sent to the client within agreed timelines.
 </li>
 <li>
 Capability to make concise, accurate and relevant synopses of medical text and data, and the ability to write unambiguous medical text
 </li>
 <li>
 Computer proficiency, IT skills, expertise and an ability to work with web based applications, and familiarity with the Windows Operating system and the MS Office suite (Word/Excel/Power Point)
 
 
 </li>
 </ul>
 Educational requirements
 
 
 <ul>
 <li>
 Bachelor/master&rsquo;s degree in pharmacy, Nursing, Life Science, or other health-related field, or equivalent qualification/work experience
 
 
 </li>
 </ul>
 
 Experience Requirements
 
 
 
 <ul>
 <li>
 2+ years&rsquo; experience in Pharmacovigilance with a focus on medical writing and/or literature search and/or signal detection
 </li>
 <li>
 Experiences in contributing to the compilation of metrics and participating in discussions about quality internally and with Clients
 </li>
 <li>
 Experience in literature screening activities and/or experiences in authoring and reviewing aggregate reports
 
 
 </li>
 </ul>
 We celebrate our differences and strive to create a workplace where each person can be their authentic self. We are committed to diversity, equity, and inclusion. Employees are encouraged to unleash their innovative, collaborative, and entrepreneurial spirits. With a holistic approach as an Equal Opportunity Employer, we provide a safe space where all employees feel empowered to succeed.
 
 
 ***ProPharma Group does not accept unsolicited resumes from recruiters/third parties. Please, no phone calls or emails to anyone regarding this posting.***
</div>

Pharmacovigilance Safety Scientist

<div>
 At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. As a risk management generalist at PwC, you will provide advisory and practical support to teams across a wide range of specialist risk and compliance areas.
 
 
 Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn&rsquo;t clear, you ask questions, and you use these moments as opportunities to grow.
 
 
 
 Skills
 
 
 
 Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
 
 
 <ul>
 <li>
 Respond effectively to the diverse perspectives, needs, and feelings of others.
 </li>
 <li>
 Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
 </li>
 <li>
 Use critical thinking to break down complex concepts.
 </li>
 <li>
 Understand the broader objectives of your project or role and how your work fits into the overall strategy.
 </li>
 <li>
 Develop a deeper understanding of the business context and how it is changing.
 </li>
 <li>
 Use reflection to develop self awareness, enhance strengths and address development areas.
 </li>
 <li>
 Interpret data to inform insights and recommendations.
 </li>
 <li>
 Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
 
 
 </li>
 </ul>
 The Opportunity
 
 
 When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you&rsquo;ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You&rsquo;ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
 
 
 As part of the Risk and Compliance team you will manage contract negotiations and collaborate with internal stakeholders to maintain compliance. As a Senior Associate, you will utilize your legal knowledge to navigate complex contractual landscapes while building relationships and driving process improvements.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Manage negotiations of contracts while securing compliance with regulations
 </li>
 <li>
 Collaborate with internal stakeholders to streamline processes
 </li>
 <li>
 Utilize legal knowledge to navigate intricate contractual agreements
 </li>
 <li>
 Build and maintain sturdy relationships with clients and partners
 </li>
 <li>
 Identify opportunities for process improvements within contract management
 </li>
 <li>
 Provide guidance on compliance issues and industry practices
 </li>
 <li>
 Analyze contract terms to mitigate risks and enhance outcomes
 </li>
 <li>
 Support the development of training materials for stakeholders
 
 
 </li>
 </ul>
 What You Must Have
 
 
 <ul>
 <li>
 Bachelor's Degree in Law
 </li>
 <li>
 5 years of experience related to managing contract negotiations
 </li>
 <li>
 Oral and written proficiency in English required
 </li>
 <li>
 Full time graduation is required BA. LLB/JD
 
 
 </li>
 </ul>
 What Sets You Apart
 
 
 <ul>
 <li>
 Demonstrating mastery of contract law
 </li>
 <li>
 Excelling in contract negotiation and management
 </li>
 <li>
 Building and maintaining trust-based relationships
 </li>
 <li>
 Anticipating stakeholder needs and facilitating resolutions
 </li>
 <li>
 Communicating effectively with diverse stakeholders
 </li>
 <li>
 Analyzing risks and suggesting solutions
 </li>
 <li>
 Managing multiple projects simultaneously
 </li>
 <li>
 Ability to quickly learn Canadian contracts and policies
 </li>
 </ul>
</div>

Contract Specialist - Senior Associate

Artmac

<div>
 
 Who We Are
 
 
 
 Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
 
 
 
 Job Description
 
 
 
 
 Job Title
 
 &emsp;&emsp;: Junior AI Engineer
 
 
 
 Job Type
 
 : Full-Time
 
 
 
 Experience
 
 : 0 &ndash; 2 years
 
 
 
 Location
 
 &emsp; : Hyderabad , Telangana
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Hands-on experience with AI/ML development or projects (internships or academic projects).
 </li>
 <li>
 Strong understanding of machine learning concepts (supervised, unsupervised, deep learning).
 </li>
 <li>
 Hands-on experience with Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
 </li>
 <li>
 Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
 </li>
 <li>
 Basic understanding of cloud services (AWS, Azure, GCP) and APIs for AI model deployment.
 </li>
 <li>
 Knowledge of SQL and working with structured/unstructured data.
 </li>
 <li>
 Knowledge on LLMs, generative AI, or MLOps tools (e.g., MLflow, Kubeflow).
 </li>
 <li>
 Knowledge of RESTful APIs and model deployment pipelines.
 </li>
 <li>
 Familiarity with Git, Docker, or CI/CD workflows.
 </li>
 <li>
 Design, develop, and implement AI/ML models and algorithms for business applications.
 </li>
 <li>
 Work with large datasets to clean, preprocess, and prepare data for modeling.
 </li>
 <li>
 Experiment with deep learning frameworks and optimize models for accuracy and performance.
 </li>
 <li>
 Collaborate with data scientists, software engineers, and product teams to integrate AI solutions into production.
 </li>
 <li>
 Research and prototype new machine learning approaches or tools.
 </li>
 <li>
 Assist in monitoring, testing, and maintaining deployed AI systems.
 </li>
 <li>
 Document development processes, model results, and technical solutions.
 
 
 </li>
 </ul>
 
 Qualification
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent combination of education and experience.
 </li>
 </ul>
</div>

Junior AI Engineer

<div>
 
 
 Job Summary:
 
 
 
 We are looking for a results-driven
 
 Data Scientist
 
 with a strong foundation in
 
 SQL
 
 and
 
 Python
 
 , coupled with hands-on experience in
 
 AI/ML
 
 and exposure to
 
 Generative AI (GenAI)
 
 technologies. The ideal candidate will work on developing predictive models, building data pipelines, and experimenting with GenAI tools to solve business challenges and enhance decision-making.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design and implement
 
 AI/ML models
 
 for a variety of business use cases, including prediction, classification, clustering, and personalization.
 </li>
 <li>
 Extract, clean, and manipulate large datasets using
 
 SQL
 
 and
 
 Python
 
 for model development and analysis.
 </li>
 <li>
 Apply and experiment with
 
 Generative AI
 
 techniques (e.g., LLMs, text generation, summarization, prompt engineering) for emerging business needs.
 </li>
 <li>
 Build scalable data pipelines and automate data workflows.
 </li>
 <li>
 Work collaboratively with cross-functional teams to define project goals and deliver actionable insights.
 </li>
 <li>
 Communicate analytical results and technical concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Stay current with advancements in
 
 AI/ML
 
 and
 
 GenAI
 
 technologies and frameworks.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Strong programming skills in
 
 Python
 
 with experience in libraries like
 
 Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch
 
 .
 </li>
 <li>
 Proficiency in
 
 SQL
 
 for data extraction, joins, and optimization.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data science best practices.
 </li>
 <li>
 Experience handling structured and unstructured data.
 </li>
 <li>
 Exposure to
 
 Generative AI
 
 tools and frameworks (e.g., OpenAI APIs, Hugging Face, LangChain).
 </li>
 <li>
 Familiarity with data visualization tools and cloud platforms (AWS, GCP, Azure) is a plus.
 </li>
 </ul>
 
 
</div>

Data Scientist

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