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Position: Senior Data Scientist Experience: 5+ years Location: Chennai, Hyderabad, Bangalore Work Mode : 5 days work from office Role Summary We are looking for a seasoned Data Scientist to lead the development of data-driven solutions that drive strategic decision-making. You will work closely with business stakeholders, engineers, and analysts to uncover insights, build predictive models, and deploy scalable data products. Key Responsibilities Analyze large, complex datasets to extract actionable insights and trends. Design and implement machine learning models and statistical algorithms. Collaborate with cross-functional teams to define data strategies and KPIs. Develop data pipelines and automate data collection and preprocessing. Communicate findings through compelling visualizations and presentations. Mentor junior data scientists and contribute to best practices in data science. Required Skills Proficiency in Python, R, and SQL. Strong grasp of statistics, machine learning, and data modeling techniques. Experience with tools like Scikit-learn, TensorFlow, PyTorch, or Spark. Familiarity with cloud platforms (AWS, Azure, or GCP). Expertise in data visualization tools (e.g., Tableau, Power BI, Plotly). Ability to translate business problems into analytical solutions

Role & responsibilities Building a Prompt Engineers Team requires a thoughtful approach that balances technical expertise, domain knowledge, and creativity. Heres a step-by-step plan to help you build an effective team: Step-by-Step Guide to Building a Prompt Engineering Team 1. Define the Purpose and Scope Start with clarity on: • Why you need a prompt engineering team (e.g., to improve chatbot accuracy, optimize RAG pipelines, generate content, automate processes). • Where prompts will be applied (e.g., customer support, legal research, code generation, marketing content). • What models/tools youre using (e.g., OpenAI GPT-4, Claude, Mistral, LangChain, LlamaIndex, Pinecone, etc.). 2. Identify Key Roles to Hire You dont need only prompt writers — build a balanced team. Typical roles include: Core Prompt Engineers • Focused on crafting, testing, and refining prompts • Excellent with language, logic, and experimentation NLP/LLM Engineers • Technical experts who understand model internals, fine-tuning, embeddings, and vector search • Useful if you’re building complex RAG or multi-agent systems Creative Writers or UX Writers (Optional) • Can write natural, engaging, or persuasive prompts especially for customer-facing apps or content generation Evaluation & QA Specialists • Test prompt outputs for accuracy, bias, safety, and relevance • Help benchmark performance 3. Create a Hiring Strategy Look for Candidates Who: • Understand LLM behavior and limitations • Have experience with OpenAI, Claude, or open-source models • Are comfortable with both creative writing and logical reasoning • Can iterate based on output quality Where to Find Them: • AI/NLP communities on Twitter, Discord (e.g., EleutherAI, LangChain) • LinkedIn with filters like: “Prompt Engineer,” “LLM Developer,” “NLP Engineer” • Platforms like GitHub (search AI prompt repositories), Kaggle, Upwork, Toptal 4. Set Up Your Tech Stack Equip the team with: • LLM Access: OpenAI API, Anthropic, HuggingFace, Cohere • Prompt Testing Tools: PromptLayer, LangSmith, PromptPerfect, Flowise • RAG Stack (if needed): LangChain, LlamaIndex, Chroma, Weaviate, Pinecone • Version Control: GitHub + prompt libraries • Prompt Analytics/Logging: To track changes, feedback loops, hallucinations, and success rates 5. Define a Workflow • Prompt Design Test Evaluate Refine Deploy Monitor • Use prompt templates (Few-shot, Chain-of-Thought, ReAct, etc.) • Implement CI for prompt validation if prompts are part of codebase 6. Build a Knowledge Base Document: • Prompt templates and examples • What works well (prompt tuning guides) • Failure cases and anti-patterns • Team learnings, A/B test results, and prompt libraries 7. Encourage Experimentation LLMs are probabilistic — experimentation is critical. Create a culture where: • Engineers test various prompt formats and model behaviors • Insights are shared internally • Prompt quality is benchmarked over time Preferred candidate profile Bonus: Team Composition Example (Startup Scale) Role Count Notes Prompt Engineer 2 NLP-aware, skilled with prompt design & LLMs NLP/LLM Developer 1 Can build pipelines, evaluate embeddings, tune models QA / Evaluator 1 Reviews and scores AI output for relevance, tone, accuracy Creative Writer (Optional) 1 Especially useful for marketing, support, or storytelling prompts Final Tip: Your first hires should be T-shaped people – with deep LLM experience but broad enough to collaborate across engineering, product, and UX.

Responsibilities : 5 years of experience in consulting or relevant industry roles. A Bachelor's degree or higher in Business Administration, Economics, Finance, Engineering, or a related field, with a strong academic record. Proven experience in project execution within professional or volunteer settings, including: Synthesizing analysis into clear and compelling narratives. Delivering tangible outcomes at different stages of a process. Mentoring and supporting junior team members. Technical proficiency includes: Strong command of Microsoft Office (Excel, PowerPoint, Word) is a must have Experience with financial modelling, KPI tracking, and revenue forecasting to support business growth strategies Experience with data management and querying, as well as BI tools such as PowerBI, Tableau, Looker, Qlik for automated data visualization and reporting Data science and analytics expertise including statistical analysis, machine learning and predicative modeling a bonus using Python, R or SQL Commitment to excellence in client service and professional standards. Ability to think critically and strategically, going beyond execution to add value. Superior written and verbal communication skills in English. Manage resource planning and ensure optimal utilization across projects. Drive revenue forecasting, monitor actual performance, and manage forecast adjustments and deferrals. Oversee the end-to-end lifecycle of client onboarding and project creation. Administer timesheet tracking and management for project resources to ensure accurate billing and reporting. Manage vendor relationships and oversee timely and accurate payment processing. Maintain and update rate cards, project cost tracking, and project charter documentation. Ensure compliance with industry certification standards and internal compliance requirements. Willingness and ability to work in flexible shifts, including switching between EST and IST time zones as required by business needs. Oversee the management and execution of Master Service Agreements (MSAs), Service Level Agreements (SLAs), and partnership deeds. Collaborate closely with the senior leadership team to deliver on quality metrics and quantitative business objectives. Develop compelling narratives, business decks, and reports, demonstrating strong proficiency in advanced Excel and PowerPoint. Key Skills & Competencies: Strategic Thinking : Strong capability to think strategically and develop long-term plans. Project Management : Experience managing multiple projects or workstreams, ensuring timely and high-quality outcomes. Financial Acumen : Solid understanding of financial statements, budgeting, and forecasting. Problem-Solving : Ability to think critically and develop innovative solutions to ambiguous challenges. Analytical & Quantitative Skills : Ability to assess complex data, identify trends, build business cases, and make data-driven decisions. Communication : Exceptional verbal and written communication skills, with a concern for storytelling and an ability to present complex information clearly and persuasively Comfort with Ambiguity : Capacity to frame a problem, make assumptions and judgment calls, with ability to be resourceful and take a first pass independently Collaboration : Interest in working in multidisciplinary teams and leveraging diverse perspectives.

EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit for more information about EXL Analytics. Role Overview: 3-6 years of actuarial experience in life insurance. Should have passed 4-12 actuarial exams. Experience of working in international markets such as US. Experience with Indian market will also be preferred. Good working knowledge of US-GAAP LDTI is preferable. Must have exposure in data handling, actuarial modeling, experience analyses, EV reporting, statutory reporting, ALM and model testing & validation. Experience working with GGY Axis, MG Alpha and Prophet will be an added advantage. Experience in SQL/Python/R is desirable but not mandatory. Advanced life insurance and actuarial knowledge, strong technical, analytical, problem solving and interpersonal skills, effective communicator to superiors, peers and subordinate, good command of theEnglish language. Must contribute towards new business development such as assessing pain areas for our clients, generating solutions for clients. Identify and participate in continuous improvement initiatives. Ensure compliance with Data Privacy and Protection Guidelines. Key Responsibilities: Complete understanding of the current state of affairs and problem statement Interacting with clients on regular basis, understanding their requirements and transforming that into business framework and providing actuarial solutions Work on transformation/automation initiative. Build actuarial models for life insurance products. Perform UAT testing, Unit testing, regression testing etc. for Actuarial model testing & validation. Excellent written and verbal communication skills Candidate Profile: Bachelor's/Master's degree in economics, mathematics, actuarial sciences. Affiliation to IAI, SoA or IFOA. At least 3-6 years experience, with good understanding of Life products - pricing, experience studies, modeling, reserving and valuation. Exposure to US life insurance market is preferable. Experience of working in international markets such as US or India. Good working knowledge of US-GAAP LDTI is preferable but not mandatory. Exposure to polysystem, MG Alpha, GGY Axis, Prophet and/or any other modelling tool will be an added advantage. Experience in SQL/Python/R is desirable but not mandatory. Strong ability to learn technical and business knowledge. Superior analytical and problem solving skills. Outstanding written and verbal communication skills. Able to work in fast pace continuously evolving environment and ready to take up uphill challenges. Is able to understand cross cultural differences and can work with clients across the globe. What we offer: EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants. You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.

EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit for more information about EXL Analytics. Role Overview: 3-10 years of actuarial experience in life insurance. Should have passed 4-12 actuarial exams. Experience of working in international markets such as US. Experience with Indian market will also be preferred. Good working knowledge of US-GAAP LDTI is preferable. Must have exposure in data handling, actuarial modeling, experience analyses, EV reporting, statutory reporting, ALM and model testing & validation. Experience working with GGY Axis, MG Alpha and Prophet will be an added advantage. Experience in SQL/Python/R is desirable but not mandatory. Advanced life insurance and actuarial knowledge, strong technical, analytical, problem solving and interpersonal skills, effective communicator to superiors, peers and subordinate, good command of theEnglish language. Must contribute towards new business development such as assessing pain areas for our clients, generating solutions for clients. Identify and participate in continuous improvement initiatives. Ensure compliance with Data Privacy and Protection Guidelines. Key Responsibilities: Complete understanding of the current state of affairs and problem statement Interacting with clients on regular basis, understanding their requirements and transforming that into business framework and providing actuarial solutions Work on transformation/automation initiative. Build actuarial models for life insurance products. Perform UAT testing, Unit testing, regression testing etc. for Actuarial model testing & validation. Excellent written and verbal communication skills Candidate Profile: Bachelor's/Master's degree in economics, mathematics, actuarial sciences. Affiliation to IAI, SoA or IFOA. At least 3-10 years experience, with good understanding of Life products - pricing, experience studies, modeling, reserving and valuation. Exposure to US life insurance market is preferable. Experience of working in international markets such as US or India. Good working knowledge of US-GAAP LDTI is preferable but not mandatory. Exposure to polysystem, MG Alpha, GGY Axis, Prophet and/or any other modelling tool will be an added advantage. Experience in SQL/Python/R is desirable but not mandatory. Strong ability to learn technical and business knowledge. Superior analytical and problem solving skills. Outstanding written and verbal communication skills. Able to work in fast pace continuously evolving environment and ready to take up uphill challenges. Is able to understand cross cultural differences and can work with clients across the globe. What we offer: EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants. You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.

Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies. They integrate this expertise with a comprehensive understanding of related domains to render business value and illuminate data-driven insights, facilitating clear and effective decision-making processes. Their responsibilities encompass devising strategies, executing plans, operationalizing solutions and articulating the tangible business outcomes achieved. Collaborating with cross-functional teams is pivotal, as they adeptly convey their discoveries to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues You will design, develop and implement data science strategies that drive measurable business results You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action You will use quality metrics to select machine learning models that will be deployed in the production environment You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind You will contribute to the growth of the data science community along with promoting a culture of data literacy within the organization You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility) You will work with CD4ML practices and data versioning tools Job qualifications Technical Skills You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models You have experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc) You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You ensure compliance with data privacy regulations and ethical standards when handling sensitive information Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed You are a proven leader with a track record of encouraging teammates in their professional development and relationships Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business

The Marketing Operations Analyst II is responsible for lead and pipeline reporting, ensuring accurate data tracking, performance measurement, and insights to drive marketing and sales alignment. This role focuses on lead management, pipeline analysis, and revenue reporting, while also managing Google Analytics, Google Ads, and other digital marketing performance metrics. The ideal candidate has strong analytical skills, experience with BigQuery, and expertise in data visualization, attribution modeling, and marketing analytics. Key Responsibilities: Lead & Pipeline Reporting Manage and maintain lead flow tracking and reporting from marketing campaigns into HubSpot and CRM (Salesforce preferred), ensuring data accuracy and integrity. Track, analyze, and report on pipeline performance, lead conversion rates, and marketing-influenced revenue to measure campaign impact. Build and maintain dashboards in CRM, Looker Studio, Tableau, and Power BI to visualize lead lifecycle stages, funnel progression, and sales handoff efficiency. Develop and refine marketing attribution models to assess the effectiveness of marketing channels and campaigns in pipeline generation. Work closely with Sales Operations and Demand Generation teams to ensure seamless lead handoff and alignment on pipeline metrics. Google & Digital Marketing Reporting Monitor and analyze Google Analytics and Google Ads performance, identifying trends and opportunities for optimization. Track digital campaign performance across paid media, SEO, and website engagement, providing recommendations for improvement. Implement and maintain Google Tag Manager configurations to optimize conversion tracking and event measurement. Conduct A/B testing and conversion rate analysis to optimize digital campaigns and landing page effectiveness. Ensure marketing data is structured correctly in BigQuery for advanced analytics and reporting. Marketing Data Management & Compliance Maintain data hygiene, segmentation, and enrichment to improve targeting and reporting accuracy. Ensure compliance with data privacy regulations (GDPR, CCPA) in all lead tracking and reporting activities. Collaborate with marketing and IT teams to improve data governance and system integrations. Qualifications & Experience 5+ years of experience in marketing analytics, lead operations, or data analysis. Strong expertise in lead management, pipeline tracking, and revenue reporting. Proficiency in BigQuery for querying and analyzing large-scale marketing and sales data. Experience with data visualization tools (Google Looker Studio, Tableau, Power BI). Google Analytics and Google Ads experience, with a strong understanding of paid search, SEO, and digital reporting. Knowledge of marketing attribution modeling, multi-touch attribution, and conversion tracking. Familiarity with CRM systems (Salesforce preferred) and HubSpot reporting. Ability to interpret complex data sets and present insights to marketing, sales, and leadership teams. Preferred Skills: Experience with SQL, Python, or R for advanced data analysis and reporting. Familiarity with Google Tag Manager for event tracking and campaign measurement. Certifications in HubSpot, Google Analytics, or BigQuery are a plus.

Ansys is looking for Principal R&D Engineer - Implementation flow (physical synthesis / clock tree synthesis) to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

Ansys is looking for R&D Engineer II - Python, IOT, AI/ML, MBSE to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

Ansys is looking for R&D Engineer II - C++, GPU, Meshing to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience in data science, machine learning, AI applications, and generative AI modelling. Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customers You will conduct experiments and develop hypotheses to solve business problems using advanced statistics techniques You will develop and implement data science strategies that drive measurable business results You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind You will interact with clients from diverse domains, addressing their challenging problems You will contribute to the growth and knowledge sharing within the data science community, with a focus on latest tech trends in the data science and machine learning space You will address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelines Job qualifications Technical Skills You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects You understand the specialized areas of AI and possess experience with at least one of them (i.e.: NLP/computer vision/Generative AI, etc) You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You are aware of data privacy regulations and ethical standards when handling sensitive information Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed

Overview This role combines the expertise of a Data Analyst with the leadership and project management skills of a Technical Program Manager. The Data Analyst & TPM will be responsible for collecting, analyzing, and interpreting data to drive informed decision-making, while also managing technical programs from initiation to closure, ensuring successful delivery and meeting project objectives. Primary Responsibilities: Data Analysis: Collect, clean, and transform data from various sources. Perform data analysis using statistical techniques and tools to identify trends, patterns, and insights. Collaborate with cross-functional teams to understand their data needs and requirements. Ensure data quality, accuracy, and integrity. Identify opportunities for process improvement and optimization based on data analysis. Stay up-to-date with the latest data analysis technologies, techniques, and industry trends. Technical Program Management: Initiate, plan, execute, monitor, and close cross-functional technical programs. Develop and manage program roadmaps, timelines, and budgets. Identify and manage program risks and issues. Communicate program status and progress to stakeholders. Collaborate with technical teams to ensure successful program delivery. Conducting and facilitating Scrum events like Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective. Ensuring these events are productive and adhere to Scrum guidelines. Keeping meetings on time and focused. Helping the team improve their self-organization and self-management. Fostering an environment of open communication and collaboration within the team. Collaborating with the Product Owner to ensure the product backlog is prioritized and refined. Helping the team define and maintain quality standards. Ensuring that deliverables are up to quality standards at the end of each Sprint. Skills and Experience: Knowledge of Scrum and Agile Methodologies Strong Communication and Facilitation Skills Conflict Resolution Skills Problem-Solving Skills Leadership and Coaching Skills Organizational Skills Empathy and Interpersonal Skills Ability to Work Independently and as Part of a Team Proficiency in data analysis tools and techniques (e.g., SQL, Python) Experience with project management methodologies (e.g., Agile, Waterfall). Excellent communication, presentation, and interpersonal skills. Ability to work independently and as part of a team. Strong problem-solving and analytical skills. Ability to manage multiple projects and priorities simultaneously.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Role: AI Solutions Architect - R&D Vacancies: 11 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. Job Location: Mandaveli, Chennai Key Responsibilities: - Architect scalable transformer-based AI model infrastructures. - Lead the development of an in-house AI framework and utilize it to build robust, scalable foundation models. - Collaborate with researchers to translate advanced research into robust, scalable architectures. - Evaluate existing AI infrastructures, propose enhancements, and optimize model deployments for performance, efficiency, and scalability. - Design and implement robust AI pipelines and workflows from prototyping through experimentation phases. - Develop novel frameworks and algorithms tailored to specific research goals. - Systematic exploration of scaling laws and hyperparameter configurations to optimize model performance and efficiency. - Provide technical leadership and mentorship on AI infrastructure and architectural decisions. - Stay abreast of the latest AI technologies, research developments, and emerging frameworks. Required Skills and Qualifications: - Strong logical reasoning and analytical skills. - Solid foundation in Mathematics including calculus, probability, statistics, and linear algebra. - Proficiency or willingness to learn programming languages such as Rust and CUDA for high-performance implementations. - Excellent problem-solving, and analytical skills. - Demonstrated ability to work in a collaborative, fast-paced research-driven environment. - Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. What We Offer: - A dynamic and innovative work environment in a cutting-edge AI research team. - Opportunities for professional growth, mentorship, and learning. - Competitive salary and benefits. - Access to the latest tools and technologies in AI. Important: Please read the guidelines clearly before applying: https://blubridge.ai/join-our-team

We are looking for a highly skilled and experienced Analyst to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent analytical skills and attention to detail. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data analysis systems and reports. Conduct thorough research and analysis to inform business decisions. Identify trends and patterns in large datasets to drive business growth. Provide expert-level support for data-related queries and issues. Develop and implement process improvements to increase efficiency and productivity. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills with attention to detail. Ability to work effectively in a fast-paced environment with multiple priorities. Strong communication and interpersonal skills for effective collaboration. Experience with data analysis tools and technologies, such as Excel or SQL. Strong organizational and time management skills to meet deadlines.

We are looking for a highly skilled and experienced Analyst to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent analytical skills and attention to detail. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data analysis systems and reports. Conduct thorough research and analysis to inform business decisions. Identify trends and patterns in large datasets to drive business growth. Provide expert-level support for data-related queries and issues. Develop and implement process improvements to increase efficiency and productivity. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills with attention to detail. Ability to work effectively in a fast-paced environment with multiple priorities. Strong communication and interpersonal skills for effective collaboration. Experience with data analysis tools and technologies, such as Excel or SQL. Strong organizational and time management skills to meet deadlines.

We are looking for a highly skilled and experienced Analyst to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent analytical skills and attention to detail. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data analysis systems and reports. Conduct thorough research and analysis to inform business decisions. Identify trends and patterns in large datasets to drive business growth. Provide expert-level support for data-related queries and issues. Develop and implement process improvements to increase efficiency and productivity. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills with attention to detail. Ability to work effectively in a fast-paced environment with multiple priorities. Strong communication and interpersonal skills for effective collaboration. Experience with data analysis tools and technologies, such as Excel or SQL. Strong organizational and time management skills to meet deadlines.

We are looking for a highly skilled and experienced Analyst to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent analytical skills and attention to detail. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data analysis systems and reports. Conduct thorough research and analysis to inform business decisions. Identify trends and patterns in large datasets to drive business growth. Provide expert-level support for data-related queries and issues. Develop and implement process improvements to increase efficiency and productivity. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills with attention to detail. Ability to work effectively in a fast-paced environment with multiple priorities. Strong communication and interpersonal skills for effective collaboration. Experience with data analysis tools and technologies, such as Excel or SQL. Strong organizational and time management skills to meet deadlines.

We are looking for a highly skilled and experienced Analyst to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent analytical skills and attention to detail. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data analysis systems and reports. Conduct thorough research and analysis to inform business decisions. Identify trends and patterns in large datasets to drive business growth. Provide expert-level support for data-related queries and issues. Develop and implement process improvements to increase efficiency and productivity. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills with attention to detail. Ability to work effectively in a fast-paced environment with multiple priorities. Strong communication and interpersonal skills for effective collaboration. Experience with data analysis tools and technologies, such as Excel or SQL. Strong organizational and time management skills to meet deadlines.

We are looking for a highly skilled and experienced Analyst to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent analytical skills and attention to detail. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data analysis systems and reports. Conduct thorough research and analysis to inform business decisions. Identify trends and patterns in large datasets to drive business growth. Provide expert-level support for data-related queries and issues. Develop and implement process improvements to increase efficiency and productivity. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills with attention to detail. Ability to work effectively in a fast-paced environment with multiple priorities. Strong communication and interpersonal skills for effective collaboration. Experience with data analysis tools and technologies, such as Excel or SQL. Strong organizational and time management skills to meet deadlines.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement