1082 Data Science Lead jobs in Bengaluru
Data Science Lead
Posted today
Job Viewed
Job Description
Position Summary:
The Data Scientist is tasked with enhancing interactions across user gaming experiences and systems. This involves designing, coding, training, documenting, deploying, and evaluating large-scale machine learning systems in a cost-effective manner. We seek individuals capable of creating exceptional products and experiences for millions of users within an agile environment, collaborating seamlessly with other teams. Moreover, you'll have the opportunity to immerse yourself in cutting-edge ML technologies, tools, and processes, contributing to the advancement of our technical objectives and architectural initiatives.
As a Data Scientist, you will be responsible for the design and development of machine learning models and algorithms tailored to a variety of applications. Your tasks will involve not only the implementation but also the optimization of these models. Additionally, you'll collaborate closely with cross-functional teams to seamlessly integrate these machine learning models into production systems. It will be crucial to stay abreast of the latest advancements in machine learning and AI technologies to ensure our solutions remain cuttingedge and effective. You'll coordinate with multiple stakeholders across the globe.
Your Role Responsibilities and Duties:
Develop, implement, and optimize machine learning models for various applications, including predictive safety, content personalization, search, virtual assistant, time series forecasting, and clustering.
Utilize a wide array of state-of-the-art machine learning and deep learning technologies to address diverse machine learning problems such as multilingual text classification, language modelling, and multi-modal learning.
Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
Conduct thorough exploratory data analysis to uncover patterns, trends, and valuable insights.
Deploy machine learning models into production environments using AWS services and implement scalable and efficient solutions for real-time and batch predictions.
Required Skills and Qualifications:
Bachelors degree in computer science, Engineering, Statistics, or a related field.
7+ years of working experience in at least one of the advanced machine learning areas including computer graphics, reinforcement learning, recommendation system, and natural language processing.
7+ years of Team Leading or Team Management experience is must.
Proficiency in the Python programming language and experience with PyTorch, TensorFlow, or similar frameworks.
Experience in designing and implementing machine learning-based solutions that ideally include online safety, voice-activated conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing.
Strong machine learning, statistical and analytical skills.
What we Offer:
Bootstrapped and financially stable with high pre-money evaluation.
Above industry renumerations.
Additional compensation tied to Renewal and Pilot Project Execution.
Additional lucrative business development compensation.
Chance to work closely with industry experts driving strategy with data and analytics.
Firm building opportunities that offer stage for holistic professional development, growth, and branding.
Empathetic, excellence and result driven organization. Believes in mentoring and growing a team with constant emphasis on learning
Data Science lead
Posted today
Job Viewed
Job Description
• Design and integrate data from different sources.
• Forms analytics platform components and processing components required to provide a business solution.
• Engage with business stakeholders to design and own end-to-end solutions to empower data-driven decision-making.
• Lead the design, implementation, and continuous delivery of an insights data pipeline supporting the development and operation of custom analytic products/services across the organization.
• Ensures appropriate data testing is completed and meets test plan requirements.
Data Science Lead
Posted today
Job Viewed
Job Description
What we offer
Interact with C-level at our clients on regular basis to drive their business towards impactful change
Lead your team in creating new business solutions
Seize opportunities at the client and at Metyis in our entrepreneurial environment
Become part of a fast growing international and diverse team
What you will do
Lead and manage the delivery of complex data science projects, ensuring quality and timelines.
Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions.
Design solution architectures and guide the technical approach across projects.
Align technical deliverables with business goals, ensuring data products create measurable business value.
Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences.
Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle.
Collaborate with cross functional teams to ensure smooth integration and deployment of solutions.
Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI.
What you’ll bring
6+ years of experience in delivering full-lifecycle data science projects.
Proven ability to lead cross-functional teams and manage client interactions independently.
Strong business understanding with the ability to connect data science outputs to strategic business outcomes.
Experience with stakeholder management, translating business questions into data science solutions.
Track record of mentoring junior team members and creating a collaborative learning environment.
Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability.
Experience managing project roadmaps, resourcing, and client communication.
• Tools & Technologies:
o Strong hands-on experience in Python/R and SQL.
o Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP.
o Experience with data visualization tools in python like – Seaborn, Plotly.
o Good understanding of Git concepts.
o Good experience with data manipulation tools in python like Pandas and Numpy.
o Must have worked with scikit learn, NLTK, Spacy, transformers.
o Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations.
o Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications.
• Core Competencies:
o Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis.
o Good understanding of deep learning concepts, especially in NLP and Computer Vision applications.
o Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM.
o Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines.
o Hands on experience with MLOps and model governance best practices in production environments.
o Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions.
Good to have:
Generative AI Experience with text and Image data.
Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face.
Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).
In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.
Data Science Lead
Posted today
Job Viewed
Job Description
Metyis is growing! We are looking for a Data Science Lead with 6+ years of experience to join our Data and Analytics team in Bangalore.
Who we are
The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
What we offerInteract with C-level at our clients on regular basis to drive their business towards impactful change
Lead your team in creating new business solutions
Seize opportunities at the client and at Metyis in our entrepreneurial environment
Become part of a fast growing international and diverse team
Lead and manage the delivery of complex data science projects, ensuring quality and timelines.
Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions.
Design solution architectures and guide the technical approach across projects.
Align technical deliverables with business goals, ensuring data products create measurable business value.
Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences.
Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle.
Collaborate with cross functional teams to ensure smooth integration and deployment of solutions.
Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI.
6+ years of experience in delivering full-lifecycle data science projects.
Proven ability to lead cross-functional teams and manage client interactions independently.
Strong business understanding with the ability to connect data science outputs to strategic business outcomes.
Experience with stakeholder management, translating business questions into data science solutions.
Track record of mentoring junior team members and creating a collaborative learning environment.
Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability.
Experience managing project roadmaps, resourcing, and client communication.
• Tools & Technologies:
o Strong hands-on experience in Python/R and SQL.
o Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP.
o Experience with data visualization tools in python like – Seaborn, Plotly.
o Good understanding of Git concepts.
o Good experience with data manipulation tools in python like Pandas and Numpy.
o Must have worked with scikit learn, NLTK, Spacy, transformers.
o Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations.
o Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications.
• Core Competencies:
o Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis.
o Good understanding of deep learning concepts, especially in NLP and Computer Vision applications.
o Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM.
o Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines.
o Hands on experience with MLOps and model governance best practices in production environments.
o Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions.
Good to have:
Generative AI Experience with text and Image data.
Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face.
Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).
In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.
Data Science Lead
Posted today
Job Viewed
Job Description
Metyis is growing! We are looking for a Data Science Lead with 6+ years of experience to join our Data and Analytics team in Bangalore.
Who we are
The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
What we offerInteract with C-level at our clients on regular basis to drive their business towards impactful change
Lead your team in creating new business solutions
Seize opportunities at the client and at Metyis in our entrepreneurial environment
Become part of a fast growing international and diverse team
Lead and manage the delivery of complex data science projects, ensuring quality and timelines.
Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions.
Design solution architectures and guide the technical approach across projects.
Align technical deliverables with business goals, ensuring data products create measurable business value.
Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences.
Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle.
Collaborate with cross functional teams to ensure smooth integration and deployment of solutions.
Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI.
6+ years of experience in delivering full-lifecycle data science projects.
Proven ability to lead cross-functional teams and manage client interactions independently.
Strong business understanding with the ability to connect data science outputs to strategic business outcomes.
Experience with stakeholder management, translating business questions into data science solutions.
Track record of mentoring junior team members and creating a collaborative learning environment.
Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability.
Experience managing project roadmaps, resourcing, and client communication.
• Tools & Technologies:
o Strong hands-on experience in Python/R and SQL.
o Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP.
o Experience with data visualization tools in python like – Seaborn, Plotly.
o Good understanding of Git concepts.
o Good experience with data manipulation tools in python like Pandas and Numpy.
o Must have worked with scikit learn, NLTK, Spacy, transformers.
o Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations.
o Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications.
• Core Competencies:
o Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis.
o Good understanding of deep learning concepts, especially in NLP and Computer Vision applications.
o Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM.
o Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines.
o Hands on experience with MLOps and model governance best practices in production environments.
o Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions.
Good to have:
Generative AI Experience with text and Image data.
Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face.
Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).
In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.
Data Science Lead
Posted 5 days ago
Job Viewed
Job Description
Position Summary:
The Data Scientist is tasked with enhancing interactions across user gaming experiences and systems. This involves designing, coding, training, documenting, deploying, and evaluating large-scale machine learning systems in a cost-effective manner. We seek individuals capable of creating exceptional products and experiences for millions of users within an agile environment, collaborating seamlessly with other teams. Moreover, you'll have the opportunity to immerse yourself in cutting-edge ML technologies, tools, and processes, contributing to the advancement of our technical objectives and architectural initiatives.
As a Data Scientist, you will be responsible for the design and development of machine learning models and algorithms tailored to a variety of applications. Your tasks will involve not only the implementation but also the optimization of these models. Additionally, you'll collaborate closely with cross-functional teams to seamlessly integrate these machine learning models into production systems. It will be crucial to stay abreast of the latest advancements in machine learning and AI technologies to ensure our solutions remain cuttingedge and effective. You'll coordinate with multiple stakeholders across the globe.
Your Role Responsibilities and Duties:
Develop, implement, and optimize machine learning models for various applications, including predictive safety, content personalization, search, virtual assistant, time series forecasting, and clustering.
Utilize a wide array of state-of-the-art machine learning and deep learning technologies to address diverse machine learning problems such as multilingual text classification, language modelling, and multi-modal learning.
Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
Conduct thorough exploratory data analysis to uncover patterns, trends, and valuable insights.
Deploy machine learning models into production environments using AWS services and implement scalable and efficient solutions for real-time and batch predictions.
Required Skills and Qualifications:
Bachelors degree in computer science, Engineering, Statistics, or a related field.
7+ years of working experience in at least one of the advanced machine learning areas including computer graphics, reinforcement learning, recommendation system, and natural language processing.
7+ years of Team Leading or Team Management experience is must.
Proficiency in the Python programming language and experience with PyTorch, TensorFlow, or similar frameworks.
Experience in designing and implementing machine learning-based solutions that ideally include online safety, voice-activated conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing.
Strong machine learning, statistical and analytical skills.
What we Offer:
Bootstrapped and financially stable with high pre-money evaluation.
Above industry renumerations.
Additional compensation tied to Renewal and Pilot Project Execution.
Additional lucrative business development compensation.
Chance to work closely with industry experts driving strategy with data and analytics.
Firm building opportunities that offer stage for holistic professional development, growth, and branding.
Empathetic, excellence and result driven organization. Believes in mentoring and growing a team with constant emphasis on learning
Senior Manager - Data Science Lead
Posted 12 days ago
Job Viewed
Job Description
**ob Title:** **Senior Manager - Data Science Lead**
**About the Function:** Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster.
Our D&T team includes some of the most talented digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we'll help you become the best you can be, creating career-defining work and delivering breakthrough thinking.
**Purpose of Position:** We are looking for a seasoned Data Scientist to join our dynamic team in the Diageo India (USL). This role is ideal for someone with a strong analytical background, a passion for consumer behavior and market dynamics, and a knack for translating data into strategic insights. You will work across business functions-marketing, sales, supply chain, and product innovation-to build data-driven strategies that shape the future of our brands.
**Qualification:** Postgraduate degree in Data Science Statistics, Computer Science or a related quantitative discipline.
**Required skillset:**
Experience in advanced analytics, data science, or machine learning, with at least 3 years in a management role.
Proven track record of deploying analytics and AI/ML solutions in complex, regulated, or data-scarce environments.
Hands-on experience with Python/R, SQL, cloud ML platforms, and data visualization tools.
**Nice to Have:**
Prior experience working in a regulated industry or CPG.
Prior experience designing ML/AI solutions for Sales/Commercial and Marketing users to drive revenue directly, and with Supply Chain/Corporate functions to drive efficiencies
Preferred Attributes:
Excellent communication and stakeholder engagement abilities.
Passion for data-driven innovation and delivering business impact.
*** **Key Accountabilities:**
+ Design, Develop and Deploy predictive and prescriptive models that demonstrate measurable business impact.
+ Ensure high model accuracy, explainability and compliance.
+ Translate analytical insights into clear, actionable recommendations for business and functional leaders.
+ Understand digital products ecosystem (Saas and custom apps) , work with Product owners and design data-driven insights in data lake , integrated to products
+ Partner with Data engineering to ensure data quality, readiness and availability for analytics initiatives.
+ Evangelize AI along with the Analytics Product Owner across the organization
+ Lead upskilling and development of analytics talent for project resources, and internal users and stakeholders.
**Flexible Working Statement:** Flexibility is key to our success. From part-time and compressed hours to different locations, our people work flexibly in ways to suit them. Talk to us about what flexibility means to you so that you're supported from day one.
**Diversity statement:** Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this.
We embrace diversity in the broadest possible sense. This means that you'll be welcomed and celebrated for who you are just by being you. You'll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more.
Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world.
Feel inspired? Then this may be the opportunity for you.
_If you require a reasonable adjustment, please ensure that you capture this information when you submit your application._
**Worker Type :**
Regular
**Primary Location:**
Bangalore HO
**Additional Locations :**
**Job Posting Start Date :**
With over 200 brands sold in more than 180 countries, we're the world's leading premium drinks company. Every day, over 30,000 talented people come together at Diageo to create the magic behind our much-loved brands. From iconic names to innovative newcomers - the brands we're building are rooted in culture and local communities. Our ambition is to be one of the best performing, most trusted and most respected consumer products companies in the world.
Our founders, such as Arthur Guinness, John Walker, and Charles Tanqueray, were visionary entrepreneurs whose brilliant minds helped shape the alcohol industry. And through our people, their legacy lives on. Join us, and you'll collaborate with talented people from all corners of the world. Together, you'll innovate and push boundaries, shaping a more inclusive and sustainable future that we can all be proud of.
With diversity at our core, we celebrate our people's unique passions, commitments and specialist skills. Because when varied voices, mindsets, and personalities come together, great ideas are born. In our supportive culture, your voice will be heard and you'll be empowered to be you. Just bring your ambition, curiosity and ideas, and we'll celebrate your work and help you reach your fullest potential.
**DRINKiQ**
What's your DRINKiQ? Take our quiz to understand how alcohol is made and explore the effects of drinking. You can discover everything you need to know at DRINKiQ (
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Senior Manager - Data Science Lead
Posted today
Job Viewed
Job Description
Description
:Job Title: Senior Manager - Data Science Lead
About the Function: Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster.
Our D&T team includes some of the most talented digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we’ll help you become the best you can be, creating career-defining work and delivering breakthrough thinking.
About the role: Roles in this job family are involved in the analysis and modelling of data, as well as the provision and preparation of reporting to support business requirements. They provide advice and support in using data and typically have experience and knowledge in using analytical software, systems and reporting tools.
Role Responsibilities:
• Lead professionals are individual contributors
• Requires in-depth conceptual and practical knowledge in own discipline and basic knowledge of related disciplines
• Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate the company in the market
• Acts as a resource for other team members; may lead projects with limited risks and resource requirements
• Solves complex problems by taking a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information
• Impacts achievement of activities within own team and other related teams; works within broad guidelines and policies
• Confidently explains complex, difficult and/or sensitive information; works to build consensus
Flexible Working Statement: Flexibility is key to our success. From part-time and compressed hours to different locations, our people work flexibly in ways to suit them. Talk to us about what flexibility means to you so that you’re supported from day one.
Diversity statement: Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this.
We embrace diversity in the broadest possible sense. This means that you’ll be welcomed and celebrated for who you are just by being you. You’ll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more.
Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world.
Feel inspired? Then this may be the opportunity for you.
If you require a reasonable adjustment, please ensure that you capture this information when you submit your application.
Worker Type :
RegularPrimary Location:
Bangalore HOAdditional Locations :
Job Posting Start Date :
Data Science Lead, Clinical Intelligence
Posted 16 days ago
Job Viewed
Job Description
Job Description: Data Science Lead, Clinical Intelligence
Company Overview
Anervea is a pioneering AI transformation tech company delivering AI-powered SaaS solutions for the US pharma industry. Our therapy-agnostic clinical intelligence platform leverages real-world evidence (RWE) to predict patient outcomes and personalize treatments, empowering clients to optimize clinical trials and accelerate drug development.
Job Title
Data Science Lead, Clinical Intelligence
Location
Pune, India (hybrid office/remote) or fully remote within India.
Job Summary
We are seeking an experienced Data Science Lead to spearhead data operations for our clinical intelligence SaaS platform. You will lead data pipeline development, integrate computational biology insights, and ensure compliance with US pharma regulations, driving AI-powered predictions for patient outcomes across therapies (e.g., oncology, diabetes). This role is perfect for a leader with expertise in computational biology, clinical research, and scalable data systems.
Key Responsibilities
- Build and manage end-to-end data pipelines for ingesting and analyzing de-identified RWE, preclinical data, and public datasets (e.g., TCGA, ChEMBL) using Python, pandas, and cloud tools.
- Ensure data quality, privacy, and compliance with HIPAA, FDA (21 CFR Part 11), and GDPR, focusing on de-identification and bias mitigation.
- Lead integration of computational biology (e.g., genomics, AlphaFold protein modeling) into AI models for therapy-agnostic outcome predictions.
- Collaborate with AI teams to develop predictive models (e.g., XGBoost, PyTorch) for clinical trials and personalized medicine.
- Optimize data operations for scalability and cost-efficiency, handling large, diverse health datasets.
- Oversee cross-functional teams (remote/hybrid) to troubleshoot issues, audit data, and deliver client-ready insights.
- Stay ahead of US pharma trends (e.g., RWE, precision medicine) to enhance platform capabilities.
Qualifications and Requirements
- Master’s or PhD in Computational Biology, Bioinformatics, Data Science, or related field.
- 4+ years in data science or operations in US pharma/biotech, with expertise in clinical research (e.g., trials, RWE).
- Deep knowledge of computational biology (e.g., genomics, RDKit/AlphaFold for drug-protein interactions).
- Proficiency in Python, SQL, ETL tools (e.g., Airflow), and big data frameworks (e.g., Spark).
- Familiarity with US pharma regulations (HIPAA, FDA) and clinical trial processes (Phase 1-3).
- Experience with AI/ML for health data (e.g., scikit-learn, PyTorch).
- Based in India; open to remote or hybrid work in Pune.
- Strong leadership and communication skills for global client collaboration.
Preferred Skills
- Experience with cloud platforms (e.g., AWS, Azure) for secure data processing.
- Knowledge of SaaS platforms and API integrations for client data.
- Background in oncology or precision medicine (e.g., breast cancer outcome predictions).
- Expertise in mitigating data biases for fair AI predictions.
What We Offer
- Highly Competitive salary based on experience with performance bonuses.
- Flexible remote/hybrid work, health benefits, and learning opportunities.
- Leadership role in cutting-edge US pharma AI innovation with travel opportunities in the US
- Collaborative, global team environment.
Analytics Data science and IOT Lead
Posted today
Job Viewed
Job Description
Description
Primary Skills: