939 Lead Scientist jobs in India
Lead Scientist – Innovation and Incubation
Posted today
Job Viewed
Job Description
Hello. We’re Haleon. A new world-leading consumer health company. Shaped by all who join us. Together, we’re improving everyday health for billions of people. By growing and innovating our global portfolio of categoryleading brands – including Sensodyne, Panadol, Advil, Voltaren, Theraflu, Otrivin, and Centrum – through a unique combination of deep human understanding and trusted science. What’s more, we’re achieving it in a company that we’re in control of. In an environment that we’re co-creating. And a culture that’s uniquely ours. Care to join us. It isn’t a question.
With category leading brands such as Sensodyne, Voltaren and Centrum, built on trusted science and human understanding, and combined with our passion, knowledge and expertise, we’re uniquely placed to do this and to grow a strong, successful business.
This is an exciting time to join us and help shape the future. It’s an opportunity to be part of something special.
Job Purpose
The primary purpose of the Lead Scientist – Innovation and Incubation role is to develop and optimize formulations for new and existing products, ensuring they meet regulatory and quality standards. This involves conducting research and experiments to evaluate the stability, efficacy, and safety of formulations. The role also requires collaboration with cross-functional teams, including marketing, regulatory, and manufacturing, to ensure successful product development and launch.
This role involves working closely with cross-functional teams to drive innovation and deliver consumer-centric solutions.
Key responsibilities
Qualifications and skills
Why Haleon?
Our values and expectations are at the heart of everything we do and form an important part of our culture.
These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability,Development, and Teamwork. As Haleon focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:
• Operating at pace and agile decision-making – using evidence and applying judgement to
balance pace, rigour and risk.
• Committed to delivering high quality results, overcoming challenges, focusing on what
matters, execution.
• Continuously looking for opportunities to learn, build skills and share learning.
• Sustaining energy and well-being
• Building strong relationships and collaboration, honest and open conversations.
• Budgeting and cost-consciousness
Diversity, Equity and Inclusion
At Haleon we embrace our diverse workforce by creating an inclusive environment that celebrates our unique perspectives, generates curiosity to create unmatched understanding of each other, and promotes fair and equitable outcomes for everyone.
We’re striving to create a climate where we celebrate our diversity in all forms by treating each other with respect, listening to different viewpoints, supporting our communities, and creating a workplace where your authentic self belongs and thrives. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Care to join us. Find out what life at Haleon is really like
Care to join us. Find out what life at Haleon is really like Haleon we embrace our diverse workforce by creating an inclusive environment that celebrates our unique perspectives, generates curiosity to create unmatched understanding of each other, and promotes fair and equitable outcomes for everyone. We're striving to create a climate where we celebrate our diversity in all forms by treating each other with respect, listening to different viewpoints, supporting our communities, and creating a workplace where your authentic self belongs and thrives. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
As you apply, we will ask you to share some personal information, which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.
Haleon is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
Accommodation Requests
If you require a reasonable accommodation or other assistance to apply for a job at Haleon at any stage of the application process, please let your recruiter know by providing them with a description of specific accommodations you are requesting. We’ll provide all reasonable accommodations to support you throughout the recruitment process and treat all information you provide us in confidence.
Lead Data Scientist
Posted 10 days ago
Job Viewed
Job Description
Optum's Applied AI team is seeking an experienced and pragmatic Lead Data Scientist to drive the end-to-end ML lifecycle, from problem definition to robust, scalable model deployment and continuous improvement. This role demands deep expertise in machine learning, particularly with advanced transformer models and Large Language Models (LLMs), applied to complex domains such as clinical document understanding and semantic search.
**Primary Responsibilities:**
+ Own the end-to-end data science lifecycle - from problem definition and experimentation to deployment, monitoring, and continuous improvement
+ Design and deploy robust, explainable, and scalable ML models for clinical document understanding, named entity recognition, context disambiguation, and semantic search across prospective and retrospective use cases
+ Lead model development with a focus on production-readiness, incorporating solid MLOps, reproducibility, and experimentation practices
+ Diagnose and optimize model performance, mitigate bias, and ensure analytical integrity, accuracy, and operational efficiency
+ Work hands-on with multi-modal transformer models for tasks like NER, handwriting and form understanding, and document classification
+ Leverage LLMs and SLMs for clinical reasoning, automated annotation, data generation, and downstream distillation
+ Collaborate with cross-functional teams - including ML engineers, annotators, and clinical domain experts - to translate business challenges into deployable AI solutions
+ Implement automated data labeling pipelines using techniques like active learning, weak supervision, and human-in-the-loop systems
+ Ensure reproducibility and operational excellence through Git, DVC, CI/CD pipelines, and orchestration tools (e.g., Airflow, Kafka)
+ Mentor and guide junior scientists and engineers, lead technical design reviews, and set best practices for model architecture and evaluation
+ Continuously identify and close gaps in the ML platform, proposing and implementing innovative solutions to improve performance, scalability, and reliability
+ 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 regards 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 in Computer Science or adjacent field
+ Advanced degree in a field that emphasizes the use of data science/statistics techniques (e.g., Computer Science, Applied Mathematics, or a field with direct NLP application)
+ 5+ years of experience in Data Science with a focus on Machine Learning and Natural Language Processing
+ Solid understanding of machine learning algorithms, NLP principles, and data modeling principles
+ Proficiency in Python, R, and SQL. Experience in NLP libraries such as NLTK, SpaCy, and BERT
+ Proven excellent Communication Skills
+ Proven flexibility to provide support during critical business periods
+ Proven ability to interpret and present complex data in various formats.
+ Proven solid leadership skills, ability to meet deadlines, and work independently. An analytical mindset for addressing complex business needs
+ Proven positive team player with a drive to learn and contribute to achieving results
+ Willingness to work in varying shifts
_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._
#NJP
Lead Data Scientist
Posted 10 days ago
Job Viewed
Job Description
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
Lead Data Scientist
Posted 10 days ago
Job Viewed
Job Description
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
Lead Data Scientist
Posted 10 days ago
Job Viewed
Job Description
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
Lead Data Scientist
Posted 10 days ago
Job Viewed
Job Description
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You'll Do
The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities.
The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives.
This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions.
Key Areas of Responsibility:
+ Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases
+ Lead the discussion and conceptualization of the solutions assigned.
+ Responsible for development of ready to engage and ready to sell collateral
+ Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time.
+ Actively participate in brainstorming sessions to come up with possible solutions/analytics
+ Build solution showcases and support the account teams in high-end customer pitches
+ Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations
+ Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements
+ Conduct assessment and POC activities to support the Pre-Sales Teams
Who You'll Work With
The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel).
What Makes You a Qualified Candidate
Educational Requirements:
+ Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics.
+ Preferably a Masters or Doctorate in the relevant field
Technical Skill Set & Experience Required:
+ 10+years' experience in data driven field (e.g. BI, DWH, Analytics etc.).
+ Experience in data analysis is a plus.
+ Strong hands on experience with programming languages (e.g. R, Python, Java, etc.)
+ Comfortable with and experience using SQL.
+ Significant familiarity with Statistical concepts. In-depth understanding is a plus.
+ In depth understanding of Machine Learning concepts and statistical modelling.
+ Exposure and Experience with Artificial Intelligence and Deep Learning
+ Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc.).
+ Ability to analyze customer technology, define business requirements & participate in risk analysis activities
+ Strong Requirement Elicitation & Analysis skills
+ Cloud Computing Experiences would be a plus (Azure /AWS/Google)
+ Experience of Teradata platform would be a plus
+ Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus
What You'll Bring
+ Ability and willingness to learn.
+ Collaborative attitude and team player.
+ Very strong analytical skills.
+ Ability to independently manage critical situations.
+ Story building skills.
+ Critical thinker and problem-solving skills
+ Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences.
+ Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time
+ Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment.
#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
Lead Data Scientist
Posted 10 days ago
Job Viewed
Job Description
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.
Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.
**Overview about TII** ?
At Target, we have a timeless purpose and a proven strategy. And that hasn't happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target's global team and has more than 4,000 team members supporting the company's global strategy and operations.
**Pyramid Overview**
As a Lead Data Scientist in Data Sciences, you will play crucial role in designing, implementing, and optimizing the AI solutions in production. Additionally, you'll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding.
**Team Overview**
The Content Creation team within Data Sciences will help build AI solutions leveraging, GenAI, computer vision and traditional ML models for various marketing or site content use-cases. The team will play a crucial role in helping Target drive relevancy with guests.
**?Pos** **ition Overvie** **w**
As a Lead Data Scientist, you'll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scale and scope of your role by defining solutions and beginning to identify problems to solve and contribute to Data Sciences' and Target's culture by modeling and contributing to the culture. You'll get the opportunity to use your expertise in one or more of the following areas: machine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. We will look to you to own design and implementation of an algorithmic solution (e.g., recommendation or forecasting algorithm), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment.
You'll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. You'll evaluate tradeoffs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. You'll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the team's products/models.
You'll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, you'll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. We'll look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your team's work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, you'll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retail? It's always changing!
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
**About You**
+ 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics)
+ Masters in Computer Science, Applied Mathematics, Statistics, Physics or over 6 plus years of relevant industry experience
+ Good knowledge and experience developing optimization, simulation and statistical models
+ Experience in working with image, text data, embeddings, building visionmodels andleveraging Gen AI tools
+ Strong expertise in Machine Learning frameworks such as TensorFlow, PyTorch or similar libraries; experience with Generative Adversarial Networks or Diffusion Models is desirable
+ Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory
+ Excellent problem-solving skills combined with strong analytical abilities.
+ Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
+ Proven leadership skills with experience mentoring junior scientists effectively
**Know More About Us here:**
+ **Life at Target** - **Benefits** - **Culture-**
Be The First To Know
About the latest Lead scientist Jobs in India !
Lead Data Scientist
Posted 1 day ago
Job Viewed
Job Description
VicTree Solutions is hiring a Graphic Designer for a client in BKC, Mumbai.
- Role: Graphic Designer
- Salary Range: ₹ 18k-30k / Month
- Experience: 1-4 years
- Location: BKC, Mumbai
- Qualification: Graduation
The Role:
For a client, we are seeking an experienced and visionary Lead Data Scientist to guide the data science team and spearhead AI initiatives. As the lead, you will be responsible for setting the
strategic direction for data science, mentoring a talented team, and remaining hands-on in
the development and deployment of sophisticated AI models at scale. This role is critical, as you will be translating complex data from IoT devices and energy systems into actionable insights and automated solutions that help achieve a balance between people, planet and profit.
Key Responsibilities:
- Leadership & Strategy: Define and execute the data science roadmap, aligning projects with business objectives and identifying new opportunities for data-driven products.
- Team Mentorship: Guide, manage, and mentor a team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.
- Model Development & Innovation: Design, build, and validate robust machine learning models for tasks such as time-series forecasting, anomaly detection, and predictive maintenance. This includes everything from data preprocessing and feature engineering to algorithm selection and hyperparameter tuning.
- MLOps & Productionization: Own the end-to-end machine learning lifecycle. Design, build, and maintain scalable, automated ML pipelines using MLOps best practices and tools.
- Technical Architecture: Collaborate with engineering and DevOps teams to select the right cloud infrastructure and tools for model training and deployment at scale.
- Cross-Functional Collaboration: Work closely with product managers, software engineers, and business stakeholders to understand requirements and deliver impactful solutions.
- Communication: Translate complex statistical concepts and model results into clear, actionable insights for both technical and non-technical audiences.
Required Qualifications:
- Experience: A minimum of 7+ years of hands-on experience in data science, with a proven track record of delivering successful machine learning projects from conception to production.
- Technical Proficiency: Expert-level proficiency in Python and its core data science libraries, including pandas, NumPy, scikit-learn, plotly, TensorFlow, and Keras.
- MLOps & DevOps: Strong knowledge of MLOps principles and hands-on experience with tools like MLFlow for experiment tracking and model management. Solid understanding of DevOps tools like Docker, and CI/CD pipelines using Jenkins or GitHub Actions.
- Cloud Computing: Demonstrable experience with a major cloud platform, such as AWS (S3, SageMaker, EC2, Lambda) or Azure (Blob Storage, Azure ML).
- LLM Application: Proven experience using Large Language Models (LLMs) in a production environment.
- Storytelling & Visualization: Strong communication and presentation skills, with experience delivering projects to clients.
Preferred Qualifications:
- Team Leadership: Previous experience leading a project or a team of data scientists is a strong plus.
- Transformer Architectures: An understanding of GPT, BERT architectures is a plus.
- Container Orchestration: A working understanding of Kubernetes for scaling and managing containerized applications is good to have.
- Backend Familiarity: Basic understanding of backend elements (HTML, CSS) and how ML models integrate with web applications.
- Educational Background: A Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Domain Knowledge: Experience in the energy, manufacturing, sustainability, or IoT sectors is highly desirable.
Lets connect on LinkedIn -
Lead Data Scientist
Posted 1 day ago
Job Viewed
Job Description
We are a small consulting firm specializing in the retail and supply chain sectors. Our team leverages advanced data analytics to provide actionable insights for our clients. We are looking for a talented Lead Data Scientist to join our dynamic team and contribute to our mission of delivering data-driven solutions by helping us discover the information hidden in large amounts of data and help extract valuable business insights for our clients. The candidate should have a strong background in statistics, keen sense of programming, machine learning and data visualization to effectively share the found insights in a clear manner.
Your primary focus will be on data cleansing, processing, applying data mining techniques, doing statistical analysis, building high quality prediction systems, identify questions, create new algorithms and drawing conclusions from the analysis.
In this role, you should be highly analytical with a knack for analysis, math and statistics. We are looking for someone with an engaging communication style with confidence in interpreting numerical information, and a genuine curiosity and enthusiasm for understanding the markets/clients.
A self-starter with an inquisitive nature and would want to look beyond the obvious to explore why things are there. Critical and conceptual thinking and problem-solving skills are essential alongside passion for machine-learning and research.
About us
ebp Global is a rapidly growing, high-performing boutique consultancy firm best known for delivering world-class impactful solutions to our clients’ most complex problem. Our expertise cover retail strategy, organisational design, supply chain and fulfilment, technology planning, analytics, digital transformation, as well as technology development.
We offer an inspiring seamless working environment and dynamic career opportunities help you to develop both personally and professionally.
Responsibilities
- Lead a small team of Data Scientists
- Lead the development and implementation of advanced analytical models and machine learning algorithms.
- Oversee data analysis projects from start to finish, ensuring high-quality deliverables.
- Partner with clients to identify business challenges and provide strategic insights.
- Mentor and guide junior data scientists.
- Utilize Python, SQL, and Azure to deliver challenging projects with a robust commercial approach including but not limited to
- Processing, cleansing, and verifying the integrity of data used for analysis
- Undertaking the pre-processing of structured and unstructured data
- Selecting features, building, and optimizing models using machine learning techniques
- Correlating disparate data
- Data mining using state-of-the-art methods
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Analyse large amounts of information to discover trends and patterns
- Deliver high quality actionable insights by performing ad hoc analysis to predict, measure and interpret business trends.
- Ability to build/amend Python APIs and machine-learning algorithms to support and deliver solutions to the clients.
- Clearly and concisely communicate data science insights that engage and influence both technical as well as non / less technical audiences.
- Create highly visual insights to support storytelling and visualization for the clients
Skills and Qualifications
- Master's degree or PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering) and minimum 5 years working in a Data Science environment
- Demonstrable programming experience in Python for data science and machine learning
- Experience with Large Language Models (LLMs) and their applications in data science
- Proficient in Python, SQL, NoSQL databases
- Experience with version control like Git
- Experience with common data science toolkits (NumPy, SciPy, Matplotlib, Pandas, IPython, TensorFlow, PyTorch etc.) and Scikit-Learn highly desirable
- Extensive experience of data modelling and database design
- A passion for developing and communicating deep and valuable insights
- Extensive, demonstrable experience building and testing/validating machine learning models and using data mining techniques
- Experience of working in a cloud computing environment, preferably Microsoft Azure
- Experience using business intelligence tools (Tableau preferred)
- Knowledge of data governance and privacy considerations and principles
- Should be fluent in English (written & spoken)
Soft Skills
- Analytical mind and business acumen
- Strong maths skills (e.g. statistics, algebra, distributions, regression testing)
- Problem-solving aptitude is essential
- Strong leadership and project management skills
- Excellent communication and presentation skills
- Ability to manage multiple projects and deliver results under tight deadlines.
- Ability to learn and upgrade technical skills, in the fast-paced data analysis field
- Ability to understand and visualize multidimensionality of business facts/measures
- Ability to work in a dynamic, agile environment within a geographically distributed team
We are seeking high potential and driven individuals to join our team. Packages will be commensurate with outstanding applicant profiles.
Location: Based in the Bangalore area, with work from home conditions.
Applicants must have the right to work in India.
Please send full resume with current and expected salary as well as available date by e-mail to Only relevant CVs will be contacted.
Lead Data Scientist
Posted 7 days ago
Job Viewed
Job Description
Coditas Solutions is seeking a highly skilled and motivated Lead Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects.
Roles and Responsibilities
● Lead the design, implementation, and optimization of machine learning and AI models using Python and R.
● Develop and deploy scalable predictive models and decision-making systems for business-critical applications.
● Conduct advanced exploratory data analysis (EDA) to extract actionable insights from structured and unstructured data.
● Collaborate with data engineers to ensure high-quality, well-structured datasets for training and inference.
● Own the end-to-end model lifecycle, from development to deployment, monitoring, and continuous improvement.
● Guide the integration of AI/ML models into enterprise-level production systems in collaboration with software engineering teams.
● Provide technical leadership, mentoring junior data scientists and driving best practices in ML model development and deployment.
● Stay ahead of the curve by evaluating and implementing cutting-edge AI/ML advancements, including LLMs and GenAI models.
● Work closely with stakeholders, product teams, and clients to define business challenges and design AI-driven solutions.
● Drive model interpretability, explainability, and responsible AI practices within the organization.
Technical Skills
● 6-14 years of hands-on experience in designing and implementing machine learning, deep learning, and AI solutions .
● Strong programming expertise in Python and R , with proficiency in implementing complex algorithms.
● Extensive experience with cloud platforms (AWS, Azure, GCP) for deploying scalable machine learning solutions.
● Proficiency in MLOps practices , ensuring robust model deployment, monitoring, and retraining workflows.
● Strong background in classical ML algorithms (e.g., linear regression, logistic regression, decision trees, random forests, SVM) and deep learning architectures (CNNs, RNNs, Transformers).
● Hands-on experience with ML/DL libraries such as Scikit-learn, TensorFlow, PyTorch, Keras, NLTK, OpenCV .
● Expertise in data preprocessing, feature engineering, and model evaluation for structured and unstructured data.
● Proven experience in selecting and engineering relevant features to enhance model performance.
● Understanding of LLMs (Large Language Models) and GenAI technologies , with the ability to optimize their usage for enterprise applications.
● Strong problem-solving, critical thinking, and analytical skills to drive AI/ML innovations.
● Exceptional communication and leadership skills , with experience in mentoring teams and collaborating with cross-functional stakeholders.