Merit Data And Technology

Develop sales opportunities via telephone and mass communication such as email, research, and social media to introduce company products and services and identify appropriate buyers within the target market. Follow up on leads and conduct research to identify potential prospects. Understanding customer needs and requirements, and conduct a need analysis and determine prospects pain points. Routing qualified opportunities to the appropriate sales executives for further development and closure Qualify incoming marketing inquiries Schedule appointments for phone, web or onsite meeting Support the Enterprise Sales Executive team members to maximize prospect interaction that will ultimately lead to new closed business Identify key buying influencers within these prospects to determine budget and timeline. Build and cultivate prospect relationships by initiating communications and conducting follow-up communications to move opportunities through the sales funnel. Work with the Inside Sales Manager to develop and grow the sales pipeline to consistently meet monthly/quarterly revenue goals. Manage data for new and prospective clients in CRM, ensuring all communications are logged, information is accurate, and documents are attached. Prepare and analyse sales pipeline reports and dashboards. Participate in weekly sales team meetings Maintain consistent communication with the Enterprise Sales Executives Should have minimum 1 years experience working in Tech sales. Understanding about (Data and AI, cloud, azure technology) is a must. Other Skills Bachelors/Masters Degree in Business, Communications or related field Experience in the lead generation/Market research field preferred Experience in telemarketing and/or inside sales Strong phone presence and experience dialing dozens of calls per day Demonstrated ability to meet and/or exceed determined sales and activity quotas. Excellent written and verbal communication skills Demonstrated experience in selling BPO and Contact Centre services. Strong listening and presentation skills Working knowledge of Microsoft Office programs UK Market experience Minimum 1+ years of sales experience preferable in a results oriented sales environment. Demonstrated experience selling to VP and C-level executives Demonstrated experience in event subscription/registration selling Experience leveraging LinkedIn and other prospecting tools to make contact prospects Ability to solve problems and think critically Experience using CRM systems and web-based conferencing systems preferred

Roles & Responsibilities: - To ensure that customer needs are fully met on every call through the achievement of quality and service targets and the delivery of first class customer service. - To converse with all our clients across the globe using the highest standard of English - To ensure that customer needs are fully met on every call through the achievement of quality and service targets and the delivery of first class customer service.

Data Collection: Research construction data using online resources, databases, call companies and contacts based in the UK to seek updates. Data Entry & Management: Organize and maintain data in the tools and applications provided. Collaboration: Ensure data accuracy and alignment with team needs; share findings. Continuous Learning: Stay updated on industry trends and improve research methods.

We are seeking a skilled and experienced, detail-oriented Service Delivery Manager, responsible for Data Research and Collection and to facilitate communication and coordination between CRU Data Owners and Merit Data Research teams. The ideal candidate will have a strong background in data management, project management, and data quality assurance, with a focus on optimising data processes and data flows, while ensuring the accuracy and integrity of data. They will ensure that project requirements are clearly specified by the Data Owners and that the Data Research team meet the requirements, while maintaining high standards of quality. An entrepreneurial outlook by the applicant will be highly beneficial. Responsibilities Liaison Role / Relationship Management: Act as the primary point of contact between onsite analysts (data owners) and offshore teams (data research and collection specialists) and ensure seamless communication and collaboration between functions. Manage onshore and offshore team relations to ensure cohesive and collaborative working. Service Delivery: Develop and own project plans, including defining scopes, objectives, timelines, and managing resource allocation. Track project progress, ensuring that milestones are met and identify any potential issues early on. Ensure the team tracks and meet targets agreed with stakeholders. Identify potential risks associated with project execution and be proactive in developing mitigation strategies in collaboration with team members. Provide regular updates to stakeholders on the status of projects, risks, and outcomes. Data Quality Assurance: Work with Quality Assurance teams to implement and maintain data quality standards and best practices. Develop and execute data quality assessment protocols, including data profiling, cleansing, and validation processes. Identify and resolve data quality issues, ensuring data accuracy, consistency, and reliability. Ensure the accuracy, consistency, and completeness of data within specific domains. Ensure regular data audits and quality checks are done satisfactorily. Research and Data Collections: Working as the team manager, the job holder will be expected to perform research and data collection tasks to support and contribute to the deliverables of the team. Documentation Management: Maintain comprehensive project documentation, including status reports, meeting notes, and action items. Leadership Responsibility: This is a hands-on leadership role, not a just another managerial layer, intended to facilitate delivery and reduce barriers between CRU and Merit analysts. Requirements Gathering Ownership: The candidate will be responsible for eliciting, documenting, and validating requirements from CRU stakeholders to ensure alignment with project goals End-to-End Delivery Accountability: Own project delivery from initiation to final delivery, ensuring all milestones and deliverables are met. CRU Business Process Knowledge: Familiarity with CRUs data flows and business processes, or the ability to rapidly develop expertise in these areas, is essential. Onsite Presence Consideration: Need basis onsite presence at CRU will be required to facilitate collaboration, with scheduling coordinated in line with project needs in the Analysis BU. Qualifications Any Bachelor’s or Master’s degree (in Data Management, Information Systems, Computer Science, or a related field would be a benefit). Strong understanding of data governance, data architecture, and data integration best practices. Overall 6+ years of experience with proven capability in leading a team. Excellent organizational skills with the ability to prioritize tasks effectively. Excellent verbal and written communication skills for clear interaction with team members and stakeholders. Proactive with the curiosity and willingness to learn new processes, sectors and tools. Ability to work collaboratively in a multicultural environment. Experience working with remote teams or in an offshore/onshore team is an added bonus. Any experience or working knowledge of metallurgy, commodities or geology is beneficial but not mandatory.

We are seeking a skilled and experienced, detail-oriented Service Delivery Manager, responsible for Data Research and Collection and to facilitate communication and coordination between CRU Data Owners and Merit Data Research teams. The ideal candidate will have a strong background in data management, project management, and data quality assurance, with a focus on optimising data processes and data flows, while ensuring the accuracy and integrity of data. They will ensure that project requirements are clearly specified by the Data Owners and that the Data Research team meet the requirements, while maintaining high standards of quality. An entrepreneurial outlook by the applicant will be highly beneficial. Responsibilities Liaison Role / Relationship Management: Act as the primary point of contact between onsite analysts (data owners) and offshore teams (data research and collection specialists) and ensure seamless communication and collaboration between functions. Manage onshore and offshore team relations to ensure cohesive and collaborative working. Service Delivery: Develop and own project plans, including defining scopes, objectives, timelines, and managing resource allocation. Track project progress, ensuring that milestones are met and identify any potential issues early on. Ensure the team tracks and meet targets agreed with stakeholders. Identify potential risks associated with project execution and be proactive in developing mitigation strategies in collaboration with team members. Provide regular updates to stakeholders on the status of projects, risks, and outcomes. Data Quality Assurance: Work with Quality Assurance teams to implement and maintain data quality standards and best practices. Develop and execute data quality assessment protocols, including data profiling, cleansing, and validation processes. Identify and resolve data quality issues, ensuring data accuracy, consistency, and reliability. Ensure the accuracy, consistency, and completeness of data within specific domains. Ensure regular data audits and quality checks are done satisfactorily. Research and Data Collections: Working as the team manager, the job holder will be expected to perform research and data collection tasks to support and contribute to the deliverables of the team. Documentation Management: Maintain comprehensive project documentation, including status reports, meeting notes, and action items. Leadership Responsibility: This is a hands-on leadership role, not a just another managerial layer, intended to facilitate delivery and reduce barriers between CRU and Merit analysts. Requirements Gathering Ownership: The candidate will be responsible for eliciting, documenting, and validating requirements from CRU stakeholders to ensure alignment with project goals End-to-End Delivery Accountability: Own project delivery from initiation to final delivery, ensuring all milestones and deliverables are met. CRU Business Process Knowledge: Familiarity with CRUs data flows and business processes, or the ability to rapidly develop expertise in these areas, is essential. Onsite Presence Consideration: Need basis onsite presence at CRU will be required to facilitate collaboration, with scheduling coordinated in line with project needs in the Analysis BU. Qualifications Any Bachelor’s or Master’s degree (in Data Management, Information Systems, Computer Science, or a related field would be a benefit). Strong understanding of data governance, data architecture, and data integration best practices. Overall 6+ years of experience with proven capability in leading a team. Excellent organizational skills with the ability to prioritize tasks effectively. Excellent verbal and written communication skills for clear interaction with team members and stakeholders. Proactive with the curiosity and willingness to learn new processes, sectors and tools. Ability to work collaboratively in a multicultural environment. Experience working with remote teams or in an offshore/onshore team is an added bonus. Any experience or working knowledge of metallurgy, commodities or geology is beneficial but not mandatory.

Designation: Customer Support Executive Role: To ensure that customer needs are fully met on every call through the achievement of quality and service targets and the delivery of first class customer service. Responsibilities: To converse with all our clients across the globe using the highest standard of English To achieve KPI and targets set by Team Manager To ensure that each customer receives a high quality experience of professional service thus achieving your call quality targets To ensure that all necessary administrative work is completed accurately and promptly on each call thus achieving your error rate target. To ensure that you always aim to exceed set targets on projects converting as many dials into verifiedss To maximize productive phone time while working in the call centre, through achieving a calls per productive hour target To maximize productive phone time while working in the call centre, through achieving verified calls per productive hour target (certain projects) To apply your skills with the enthusiasm needed to achieve the above targets To apply your skills when necessary to bring the product to life to the client and promote the benefits of the project Understand and work towards the Call Centre and Merits business objectives To support your team at all times in order to achieve team targets by demonstrating the appropriate interpersonal behaviors To ensure you meet the schedule adherence target by being available to make/take calls when expected Experience: Experienced candidates from 6 months and above to 5 years’ experience in any international BPO Candidates experienced in other fields with good communication can also be considered Fresher’s with excellent communication skills can also apply. Education Qualification Minimum Qualification – UG and above (Non – Engineering Graduates only) Required Skills Excellent Communication skills Good computer knowledge (preferably in MS Office) Intermediate typing skills

We are seeking a highly motivated and experienced Team Leader Inside Sales to support and drive performance within our Inside Sales team. This role involves overseeing a team of Inside Sales Executives, guiding their day-to-day activities, and ensuring alignment with overall sales objectives. You will play a crucial role in lead generation, pipeline management, and supporting Enterprise Sales Executives in achieving revenue targets. The ideal candidate is a self-starter with a strong background in inside sales, lead generation, and team management, with a proven ability to motivate teams and contribute to business growth. Responsibilities Lead and mentor a team of Inside Sales Executives, ensuring consistent achievement of individual and team sales targets. Oversee day-to-day operations of the inside sales team including lead qualification, outbound prospecting, and appointment setting. Drive performance through coaching, feedback, training, and performance management. Assist team members in identifying key decision-makers, understanding business challenges, and conducting effective needs analyses. Manage and prioritize inbound and outbound leads to ensure timely follow-up and maximum opportunity conversion. Work closely with Sales Executives to route qualified opportunities Collaborate with the marketing team on targeted campaigns and initiatives to generate high-quality leads. Track, analyze, and report on KPIs and team performance using CRM and other sales tools. Maintain a deep understanding of Merit Group’s offerings to effectively coach the team and support prospecting efforts. Support recruitment, onboarding, and continuous development of Inside Sales Executives. Ensure CRM data is accurately maintained across the team, and generate weekly reports for senior leadership. Maintain up-to-date knowledge of the UK market and competitor landscape. Requirements Bachelor’s/Master’s degree in Business, Communications, or a related field. Minimum 7+ years of experience in inside sales or lead generation, with at least 2 years in a leadership or team lead role. Strong background in outbound sales, preferably in a B2B or technology-focused environment. Strong leadership, coaching, and mentoring abilities. Demonstrated experience selling to VP and C-level executives. Proficient in Microsoft Office and CRM tools (e.g., Hubspot). Experience using LinkedIn Sales Navigator and other sales prospecting platforms. Experience in the UK market preferred. Ability to think critically, solve problems, and work in a fast-paced environment.

Skills: Azure Data Factory, Data Lake, Synapse SQL DWH, Databricks Airflow, Python, Pyspark, SQL, Terraform Experience in designing and building highly scalable data platforms pipelines Hands on experience in developing end to end big data pipelines using Azure, AWS and or open source bigdata tools and technologies. Experience in data lake , data warehousing solutions Experience in extracting data from APIs, Cloud services Salesforce, Eloqua, S3, SQL and NoSQL onprem cloud databases using Azure Data factory, Glue ,Opensource data ingestion tools Experience in creating complex data processing pipelines ETLs using PySpark Scala Databricks Glue EMR In depth knowledge of spark architecture and experience in improving the performance and optimization Experience using cloud data warehouses e.g. Synapse ,SQL DWH, Redshift, Snowflake, build and manage data models and to present data securely Good understanding of Distributed Data Processing , MPP Knowledge of common DevOps skills and methodologies Experience in Azure DevOps, GitHub, Gitlab Experience in using Azure ARM Templates or Infrastructure as Code Terraform Indepth understanding of OLTP, OLAP, Data warehousing, Data modeling and strong analytical and problem solving skills Hands on experience using MySQL, MS SQL Server, Oracle or similar RDBMS platform. Highly self motivated, self directed, and attentive to detail Ability to effectively prioritize and execute tasks. Additional skillsets Good to have experience in Docker and Kubernetes Experience working across Azure IaaS, Azure PaaS, Azure Networking, and other areas of the platform Databricks delta lake and lake house Familiarity of Data Quality Management methodology and supporting technology tools. Familiarity with data visualization tools e.g. PowerBI, Tableau etc

Roles & Responsibilities To converse with all our clients across the globe using the highest standard of English To achieve KPI and targets set by Team Manager To ensure that each customer receives a high quality experience of professional service thus achieving your call quality targets To ensure that all necessary administrative work is completed accurately and promptly on each call thus achieving your error rate target. To ensure that you always aim to exceed set targets on projects converting as many dials into verifiedss To maximize productive phone time while working in the call centre, through achieving a calls per productive hour target To maximize productive phone time while working in the call centre, through achieving verified calls per productive hour target (certain projects) To apply your skills with the enthusiasm needed to achieve the above targets To apply your skills when necessary to bring the product to life to the client and promote the benefits of the project Understand and work towards the Call Centre and Merits business objectives Job Description – Customer Support Executive • To support your team at all times in order to achieve team targets by demonstrating the appropriate interpersonal behaviors • To ensure you meet the schedule adherence target by being available to make/take calls when expected Qualification • Minimum Qualification – UG and above (Non – Engineering Graduates only

Job Description: We are seeking a highly skilled and experienced Senior Machine Learning Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), and large language models (LLMs). They should be proficient in Python and possess expertise in conventional ML algorithms, DL techniques, LLM and prompt engineering. Desire Skills 1. RAG-Based Domain-Specific Q&A System Should have built a chatbot that answers questions from custom documents (e.g., legal contracts, company policies) using LLM + Vector DB (RAG). 2. Agentic AI Workflow Assistant (Multi-Step Planner) Should have created an LLM agent that performs tasks like Book my flight + hotel + calendar block” via API tools using LangGraph or AutoGen. 3. Multimodal RAG for Image + Text Search Worked on system that allows users to ask questions like “Find me the slide where person X talks about success in life” in a YouTube video or PDF deck. 4. Document Parsing Using OCR + Transformers Extract structured data from messy PDFs using Tesseract + LayoutLM or Donut Responsibilities: Machine Learning Development: Design, develop, and implement ML models and algorithms to solve complex problems. Work on various ML projects involving data preprocessing, feature engineering, model selection, and evaluation. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Deep Learning: Develop and deploy DL models using frameworks like TensorFlow, PyTorch, or Keras. Optimize DL models for performance and scalability. Stay updated with the latest advancements in DL and apply them to improve existing models. Large Language Models: Develop and fine-tune large language models for various NLP tasks. Implement prompt engineering techniques to enhance model performance and accuracy. Experiment with state-of-the-art LLM architectures and methodologies. Software Development: Write clean, maintainable, and efficient code in Python. Conduct code reviews and ensure adherence to best practices and coding standards. Implement version control using Git and collaborate with the development team through GitHub or similar platforms. Data Handling: Work with large datasets and perform data preprocessing, cleaning, and augmentation. Implement data pipelines and ensure data integrity and quality throughout the ML lifecycle. Research and Innovation: Stay abreast of the latest research and developments in the field of ML, DL, and LLMs. Propose and explore innovative solutions to improve model performance and address new challenges. Mentorship: Mentor and guide junior ML engineers and team members. Share knowledge and best practices within the team to foster a collaborative and learning environment.

An ideal Candidate will possess excellent communication skills to engage with the UK customers via call, email and chat (blended customer support process). He/She will be persuasive and will display strong ability to resolve customer queries and issues. He/She should also be target-oriented and a team player. Key Responsibility Areas: Validate client information and achieve qualitative metrics Communicate with customers via call/email/chat, understand and resolve their queries/issues Engage in interactive dialogue with customers through active listening on call and promptness on email/chat Ensure that targets are achieved within the specified timelines Deliver an excellent customer experience Document customer account activities thoroughly and concisely Ensure compliance with all client, company and departmental policies, procedures, and guidelines Maintaining a positive, empathetic and professional attitude toward customers at all times Skills required: Excellent oral and written communication skills 35-40 WPM typing speed with 90% accuracy Target oriented and a team player Fast learner Good client handling skills Effective prioritization ability at work to ensure efficiency Critical thinker and ability to exercise independent judgment Accuracy and attention to detail Basic MS-Office experience Customer centricity Effective interpersonal skills Willingness to learn and upskill/cross-skill

Designation: Customer Support Executive Role: To ensure that customer needs are fully met on every call through the achievement of quality and service targets and the delivery of first class customer service. Responsibilities: To converse with all our clients across the globe using the highest standard of English To achieve KPI and targets set by Team Manager To ensure that each customer receives a high quality experience of professional service thus achieving your call quality targets To ensure that all necessary administrative work is completed accurately and promptly on each call thus achieving your error rate target. To ensure that you always aim to exceed set targets on projects converting as many dials into verifiedss To maximize productive phone time while working in the call centre, through achieving a calls per productive hour target To maximize productive phone time while working in the call centre, through achieving verified calls per productive hour target (certain projects) To apply your skills with the enthusiasm needed to achieve the above targets To apply your skills when necessary to bring the product to life to the client and promote the benefits of the project Understand and work towards the Call Centre and Merits business objectives To support your team at all times in order to achieve team targets by demonstrating the appropriate interpersonal behaviors To ensure you meet the schedule adherence target by being available to make/take calls when expected Experience: Experienced candidates from 6 months and above to 2 years experience in any international BPO Candidates experienced in other fields with good communication can also be considered Fresher’s with excellent communication skills can also apply. Education Qualification Minimum Qualification – UG and above (Non – Engineering Graduates only) Required Skills Excellent Communication skills Good computer knowledge (preferably in MS Office) Intermediate typing skills

We are seeking a highly skilled and experienced Senior Machine Learning Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), and large language models (LLMs). They should be proficient in Python and possess expertise in conventional ML algorithms, DL techniques, LLM and prompt engineering Responsibilities: 1. Machine Learning Development: Design, develop, and implement ML models and algorithms to solve complex problems. Work on various ML projects involving data preprocessing, feature engineering, model selection, and evaluation. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 2. Deep Learning: Develop and deploy DL models using frameworks like TensorFlow, PyTorch, or Keras. Optimize DL models for performance and scalability. Stay updated with the latest advancements in DL and apply them to improve existing models. 3. Large Language Models: Develop and fine-tune large language models for various NLP tasks. Implement prompt engineering techniques to enhance model performance and accuracy. Experiment with state-of-the-art LLM architectures and methodologies. 4. Software Development: Write clean, maintainable, and efficient code in Python. Conduct code reviews and ensure adherence to best practices and coding standards. Implement version control using Git and collaborate with the development team through GitHub or similar platforms. 5. Data Handling: Work with large datasets and perform data preprocessing, cleaning, and augmentation. Implement data pipelines and ensure data integrity and quality throughout the ML lifecycle. 6. Research and Innovation: Stay abreast of the latest research and developments in the field of ML, DL, and LLMs. Propose and explore innovative solutions to improve model performance and address new challenges. 7. Mentorship: Mentor and guide junior ML engineers and team members. Share knowledge and best practices within the team to foster a collaborative and learning environment. Desire Skills 1. RAG-Based Domain-Specific Q&A System Should have built a chatbot that answers questions from custom documents (e.g., legal contracts, company policies) using LLM + Vector DB (RAG). 2. Agentic AI Workflow Assistant (Multi-Step Planner) Should have created an LLM agent that performs tasks like Book my flight + hotel + calendar block via API tools using LangGraph or AutoGen. 3. Multimodal RAG for Image + Text Search Worked on system that allows users to ask questions like Find me the slide where person X talks about success in life in a YouTube video or PDF deck. 4. Document Parsing Using OCR + Transformers Extract structured data from messy PDFs using Tesseract + LayoutLM or Donut