265 Lead Data Scientist jobs in Hyderabad

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
**Primary Responsibilities:**
+ Drive client value by:
+ Creating innovative solutions driven by exploratory data analysis from diverse datasets
+ Responsible for developing/delivering end-to-end Machine Learning projects/solutions that have a high degree of value, ambiguity, scale and complexity
+ Ability to coach/guide follow data scientists and accountable for delivering advanced analytics products
+ Using an analytical approach to design, develop, and implement data enrichments, predictive models, and advanced algorithms that lead to expanded value extraction from data
+ Leading efforts for applied use of machine learning to drive process optimization and transformation
+ Applying knowledge of data modeling, statistics, machine learning, programming, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to more actionable insights
+ Working with analytics and statistical software and products, such as SQL, R, Python, Hadoop and others to perform analysis and interpret data
+ Creating artifacts like STM, HLD, LLD for hardening prototypes into production (prototype to hardening)
+ Communicate the performance of the machine learning algorithms across an interdisciplinary team
+ Create impact at scale by:
+ Developing and managing a comprehensive catalog of scalable data services that expand the value of analytical offerings
+ Designing and promoting best practices related to data enrichment, advanced modeling, and algorithm creation in support of analytically driven insight
+ Collaborating with business intelligence architects and domain analysts to maximize the effectiveness of business intelligence tools, dashboards, and other dynamic reporting capabilities
+ Leading efforts to build sophisticated data enrichment processes that server as the single source of truth to expanded insights on base data
+ Ensuring complex analytics adhere to statistical best practices
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's degree (preferably in information technology, engineering, math, computer science, analytics, engineering or other related field)
+ 8+ years of combined experience in data science, data enrichment, and advanced modeling
+ 8+ years of experience creating models/solutions using Python, Spark-SQL, Scala or other similar coding language
+ 8+ years of experience manipulating large data sets through statistical software (ex. R, SAS) or other methods
+ 5+ years of experience managing complex data projects and programs
+ 5+ years of experience creating healthcare analytics
+ Hands on experience in Microsoft Azure, Databricks, Mlflow and model deployment frameworks
+ Hands-on experience in implementing and training machine learning algorithms and statistical analyses, including for example non-parametric tests,
+ linear mixed models, modern supervised and unsupervised machine learning algorithms such as SVM, random forest, PCA, t-SNE, clustering, deep learning, and LLMs
+ Highly proficient with hands-on experience in Python coding, Spark SQL and any other programming language along with corresponding language packages
+ Proven excellent communication and presentation skills
+ Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML)
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
#NIC #NJP

**About the Role:**
**Grade Level (for internal use):**
11
**Position Summary**
The candidate will work along with other data scientists and data engineers to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline. The candidate should have 10+ years work experience in developing products/services using Data Science and Analytics.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop and maintain new products
+ Work as an Individual Contributor and should be able to manage a team as well
+ Participate in complex analytical projects and apply data engineering techniques to support new
or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
+ Mentor junior team members on various algorithms, tools and techniques in the world of data science
**Business competencies**
Essential
+ 10+ years of industrial/research experience in a Data Science/Engineering Team
+ 2-3 years of experience in working in time series forecasting
+ 2+ years of experience in working with cloud technologies AWS/Dataricks
+ 1+ years of experience in implementing LLMs for analytics products/services
+ 5+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience in creating docker containers
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical programming languages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to:   and your request will be forwarded to the appropriate person. 
**US Candidates Only:** The EEO is the Law Poster   describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India

**About the Role:**
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to:   and your request will be forwarded to the appropriate person. 
**US Candidates Only:** The EEO is the Law Poster   describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.

Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform our company and provide cutting-edge solutions for our clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you!

In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models.

What Makes Our AI/ML Practice Unique:

• Purpose-driven: We actively respond to our customers' evolving needs with innovative solutions.
• Collaborative: We foster a positive and engaging work environment where collective ideas thrive.
• Accountable: We take ownership of our performance, both individually and as a team.
• Service Excellence: We maximize our potential through continuous learning and improvement.
• Trusted: We empower individuals to make informed decisions and take calculated risks.

Job Summary:

We are looking for a dedicated Lead Data Scientist with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling.

In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack.

Core Requirements:

• At least 6 years of experience working with geographically distributed teams
• 2+ years of experience working in a client-facing role on AI/ML .
• Demonstrable experience in leading a substantive area of work, or line management of a team.
• Proven experience in building production grade Retrieval-Augmented Generation (RAG) solutions with hands on experience with advanced RAG techniques for retrieval, re-ranking etc.
• Build GenAI applications using LangChain, LlamaIndex and familiarity with Vector Stores and Large Language Models.
• Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred.
• Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects.
• Demonstrated experience in deploying ML solutions in production using cloud services like Azure,AWS.
• Business Understanding, Stakeholder management and Team leading skills.
• Strong practical expertise in Python and SQL needed for data science projects.

Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!

Our client is seeking a highly skilled and experienced Lead Data Scientist to spearhead their advanced analytics and machine learning initiatives. This hybrid role is critical for driving data-informed decision-making across the organization. You will lead a team of data scientists and analysts, mentor junior members, and guide the development and deployment of sophisticated predictive models and data-driven solutions. Your responsibilities will include defining data science strategy, identifying key business challenges that can be solved with data, and designing end-to-end analytical projects from data acquisition and cleaning to model development, validation, and deployment. You will leverage a wide range of statistical techniques, machine learning algorithms, and data mining tools to extract actionable insights from large, complex datasets. Expertise in areas such as deep learning, natural language processing (NLP), and big data technologies is highly desirable. You will collaborate closely with product managers, engineers, and business stakeholders to translate insights into tangible business value. This role requires excellent communication skills to present complex findings clearly and persuasively to both technical and non-technical audiences. A proven ability to manage projects, mentor teams, and contribute to strategic data initiatives is essential. The ideal candidate possesses a strong academic background, extensive practical experience in data science, and a passion for innovation in artificial intelligence and machine learning. This position offers a dynamic hybrid work environment in **Hyderabad, Telangana, IN**, allowing for both focused remote work and collaborative team engagement in the office.

Responsibilities:

• Lead the design and implementation of data science projects and machine learning models.
• Mentor and manage a team of data scientists and analysts.
• Develop predictive models for business forecasting, customer behavior, and operational efficiency.
• Perform advanced statistical analysis and data mining on large datasets.
• Collaborate with stakeholders to define business problems and data-driven solutions.
• Oversee data acquisition, cleaning, and preprocessing workflows.
• Evaluate and implement new machine learning algorithms and techniques.
• Communicate complex findings and recommendations to diverse audiences.
• Contribute to the development of data strategy and best practices.
• Stay current with advancements in data science, AI, and machine learning.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 7-9 years of experience in data science and machine learning.
• Proven experience leading data science teams and projects.
• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Proficiency in programming languages such as Python or R, and associated libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and databases (SQL, NoSQL).
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication, presentation, and interpersonal skills.
• Experience working in a hybrid work model.
• Experience in the **IT & Software** industry in **Hyderabad, Telangana, IN**.

Our client is seeking a talented and experienced Lead Data Scientist to join their innovative team in Hyderabad, Telangana, IN . This senior role will involve spearheading data-driven initiatives, building sophisticated analytical models, and guiding a team of data scientists to extract actionable insights from complex datasets. The ideal candidate will have a strong foundation in statistical modeling, machine learning, and programming, coupled with proven leadership experience. You will be responsible for defining data science projects, from conceptualization to deployment, and communicating findings to both technical and non-technical stakeholders. Key responsibilities include developing predictive models, designing experiments, and implementing data mining techniques to solve challenging business problems. The Lead Data Scientist will play a crucial role in shaping the company's data strategy and fostering a culture of data literacy. You will work closely with engineering and product teams to integrate data science solutions into core business processes and platforms. This position requires a passion for continuous learning and staying abreast of the latest advancements in AI, machine learning, and big data technologies. Mentoring junior data scientists, reviewing code, and ensuring the highest standards of scientific rigor will also be part of your mandate. We are looking for an individual who can translate complex analytical results into clear, concise, and impactful recommendations. A strong portfolio of successful data science projects and experience with cloud-based data platforms is highly desirable. If you are a visionary data leader ready to drive innovation and impact, this is the opportunity for you.
Responsibilities:

• Lead the design, development, and implementation of advanced analytical models and machine learning algorithms.
• Oversee the full data science project lifecycle, from problem definition to model deployment and monitoring.
• Mentor and guide a team of data scientists, providing technical expertise and career development support.
• Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects.
• Develop and maintain robust data pipelines and infrastructure for data analysis.
• Perform complex data analysis, statistical modeling, and predictive analytics.
• Communicate technical findings and recommendations clearly to stakeholders at all levels.
• Stay current with cutting-edge research and advancements in data science, machine learning, and AI.
• Ensure the quality, accuracy, and reliability of data analysis and model outputs.
• Contribute to the strategic direction of the company's data and analytics initiatives.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 8 years of experience in data science, with at least 2 years in a leadership or mentoring role.
• Proven expertise in machine learning, statistical modeling, and data mining techniques.
• Strong programming skills in Python or R, and experience with relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
• Demonstrated experience in leading data science projects from inception to completion.

Our client is seeking a highly experienced and innovative Lead Data Scientist to spearhead their research and development initiatives. This critical role will involve leveraging advanced statistical analysis, machine learning techniques, and big data technologies to extract actionable insights and develop predictive models. The Lead Data Scientist will guide a team of data scientists, mentor junior researchers, and collaborate with cross-functional teams to drive data-informed decision-making across the organization. This position is fully remote, offering a flexible and dynamic work environment.
Responsibilities:

• Lead the design and implementation of complex data science projects, from conceptualization to deployment.
• Develop and deploy sophisticated machine learning models for predictive analytics, pattern recognition, and optimization.
• Conduct in-depth statistical analysis of large datasets to identify trends, correlations, and insights.
• Clean, process, and transform raw data into usable formats for analysis.
• Develop and maintain data pipelines and ETL processes.
• Mentor and guide junior data scientists and analysts.
• Collaborate with engineering, product, and business teams to understand data needs and translate them into analytical solutions.
• Communicate complex findings and recommendations clearly to technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Design and conduct A/B tests and other experiments to evaluate hypotheses.
• Ensure data quality, integrity, and security in all analytical processes.
• Contribute to the development of data governance policies and best practices.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 7 years of experience in data science or a related analytical role, with at least 2 years in a leadership capacity.
• Proven expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Strong understanding of statistical modeling, experimental design, and data mining techniques.
• Excellent communication, presentation, and interpersonal skills.
• Ability to lead and manage a remote team effectively.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.

This is an exceptional opportunity for a visionary data scientist to make a significant impact in a cutting-edge research and development environment, working remotely. If you are passionate about leveraging data to solve complex problems, we want to hear from you.

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.

Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform our company and provide cutting-edge solutions for our clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you!

In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models.

What Makes Our AI/ML Practice Unique:

- Purpose-driven: We actively respond to our customers' evolving needs with innovative solutions.
- Collaborative: We foster a positive and engaging work environment where collective ideas thrive.
- Accountable: We take ownership of our performance, both individually and as a team.
- Service Excellence: We maximize our potential through continuous learning and improvement.
- Trusted: We empower individuals to make informed decisions and take calculated risks.

Job Summary:

We are looking for a dedicated Lead Data Scientist with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling.

In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack.

Core Requirements:

- At least 6 years of experience working with geographically distributed teams
- 2+ years of experience working in a client-facing role on AI/ML .
- Demonstrable experience in leading a substantive area of work, or line management of a team.
- Proven experience in building production grade Retrieval-Augmented Generation (RAG) solutions with hands on experience with advanced RAG techniques for retrieval, re-ranking etc.
- Build GenAI applications using LangChain, LlamaIndex and familiarity with Vector Stores and Large Language Models.
- Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred.
- Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects.
- Demonstrated experience in deploying ML solutions in production using cloud services like Azure,AWS.
- Business Understanding, Stakeholder management and Team leading skills.
- Strong practical expertise in Python and SQL needed for data science projects.

Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.

Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform our company and provide cutting-edge solutions for our clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you!

In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models.

What Makes Our AI/ML Practice Unique:

• Purpose-driven: We actively respond to our customers' evolving needs with innovative solutions.
• Collaborative: We foster a positive and engaging work environment where collective ideas thrive.
• Accountable: We take ownership of our performance, both individually and as a team.
• Service Excellence: We maximize our potential through continuous learning and improvement.
• Trusted: We empower individuals to make informed decisions and take calculated risks.

Job Summary:

We are looking for a dedicated Lead Data Scientist with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling.

In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack.

Core Requirements:

• At least 6 years of experience working with geographically distributed teams
• 2+ years of experience working in a client-facing role on AI/ML .
• Demonstrable experience in leading a substantive area of work, or line management of a team.
• Proven experience in building production grade Retrieval-Augmented Generation (RAG) solutions with hands on experience with advanced RAG techniques for retrieval, re-ranking etc.
• Build GenAI applications using LangChain, LlamaIndex and familiarity with Vector Stores and Large Language Models.
• Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred.
• Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects.
• Demonstrated experience in deploying ML solutions in production using cloud services like Azure,AWS.
• Business Understanding, Stakeholder management and Team leading skills.
• Strong practical expertise in Python and SQL needed for data science projects.

Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!