data scientist

data analyst

business analyst

applied scientist 3

applied scientist 4

senior data scientist

Netcore Cloud

<div>
 
 
 
 Who We Are:
 
 
 
 
 Netcore Cloud is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale projects.
 
 
 
 
 
 
 Role Summary:
 
 
 
 As a Senior Data Scientist, you&rsquo;ll work on developing, deploying, and optimizing advanced machine learning solutions across a range of problem statements such as personalization, customer segmentation, predictive modeling, and NLP. This is a high-impact role that will allow you to collaborate across cross-functional teams and contribute directly to our product innovation roadmap.
 
 
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 Model Development and Innovation
 
 :
 
 <ul>
 <li>
 Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation
 </li>
 <li>
 Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application.
 </li>
 <li>
 Optimise model performance, scalability, and interpretability for production systems.
 </li>
 </ul>
 
 
 MLOps &amp; Deployment
 
 
 <ul>
 <li>
 Contribute to the deployment of models into production environments using MLOps best practices.
 </li>
 <li>
 Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling models.
 </li>
 </ul>
 
 
 Data &amp; Experimentation
 
 
 <ul>
 <li>
 Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation.
 </li>
 <li>
 Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product KPIs.
 </li>
 </ul>
 
 
 Technology and Tools
 
 :
 
 <ul>
 <li>
 Work with large-scale datasets, ensuring data quality and scalability of solutions.
 </li>
 <li>
 Leverage cloud platforms like AWS, GCP for model training and deployment.
 </li>
 <li>
 Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development.
 </li>
 <li>
 With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex.
 </li>
 </ul>
 
 
 Cross-functional Collaboration
 
 
 <ul>
 <li>
 Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science solutions.
 </li>
 </ul>
 
 
 
 
 
 
 Who You Are:
 
 
 
 
 
 Education
 
 :
 
 <ul>
 <li>
 Bachelors from Tier 1 premier institute in relevant field, or;
 </li>
 <li>
 Master&rsquo;s or PhD in Computer Science, Data Science, Mathematics, or a related field.
 </li>
 </ul>
 
 
 Experience
 
 :
 
 <ul>
 <li>
 
 4&ndash;6 years
 
 of hands-on experience in machine learning or data science roles.
 </li>
 <li>
 Proven expertise in machine learning, deep learning, NLP, and recommendation systems.
 </li>
 <li>
 Hands-on experience deploying ML models in production at scale.
 </li>
 <li>
 Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a plus.
 </li>
 </ul>
 
 
 Technical Skills
 
 :
 
 <ul>
 <li>
 Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of statistical methods, predictive modeling, and algorithm design.
 </li>
 <li>
 Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar).
 </li>
 </ul>
 
 
 Soft Skills
 
 :
 
 <ul>
 <li>
 Strong analytical and problem-solving mindset.
 </li>
 <li>
 Excellent communication skills to articulate data-driven insights.
 </li>
 <li>
 A passion for innovation and staying up-to-date with the latest trends in AI/ML.
 </li>
 </ul>
 
 
 
 
 
 
 Why Join Us:
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge AI/ML projects impacting millions of users.
 </li>
 <li>
 Be part of a collaborative, innovation-driven team in a fast-growing Martech company.
 </li>
 <li>
 Competitive compensation and growth opportunities in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 We&rsquo;d love to hear how your background can contribute to building the next generation of intelligent marketing solutions. Apply now or reach out for a conversation. :)
 
</div>

Senior Data Scientist

GoTo Group

<div>
 Gojek is a leading on-demand services company in Indonesia providing a variety of services like bike hailing, car hailing, food delivery, etc. We leverage cutting-edge technology and data-driven insights to deliver unparalleled user experiences and operational efficiency. If you&rsquo;re a data scientist at heart, this role is for you! because you&rsquo;ll be mining insights from the sea of data, building data products, and designing experiments with the ability to see the real-time impact of your contribution.
 
 
 As a Senior Data Scientist at Gojek, you will be at the forefront of leveraging data to drive strategic and operational improvements. You will lead complex analytical projects, mentor junior data scientists, and collaborate with cross-functional teams to develop and implement data-driven strategies that enhance our service offerings and operational efficiency.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Design and implement sophisticated statistical and machine learning models to solve complex business problems, optimize service delivery, and predict user behaviour. Use techniques such as deep learning, natural language processing, and time-series analysis.
 </li>
 <li>
 Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights. Provide strategic recommendations to drive business growth and operational excellence.
 </li>
 <li>
 Lead and mentor a team of data scientists and analysts. Provide guidance on best practices, model development, and analytical techniques. Foster a collaborative and high-performance environment within the data science team.
 </li>
 <li>
 Develop and enforce data governance and quality standards. Oversee data pipeline development, ensuring data accuracy, consistency, and accessibility. Advocate for and implement best practices in data management and analytics.
 </li>
 <li>
 Design and execute A/B tests and other experimentation methodologies to assess the impact of changes in product features, user interactions, and service delivery. Analyze results and make data-driven recommendations for optimization.
 </li>
 <li>
 Create high-impact visualizations and dashboards to communicate complex data insights to non-technical stakeholders. Present findings and recommendations in a clear, actionable manner to drive decision-making.
 </li>
 <li>
 Stay abreast of the latest trends and advancements in data science, machine learning, and analytics. Apply innovative techniques and tools to enhance analytical capabilities and contribute to the company&rsquo;s competitive edge.
 
 
 </li>
 </ul>
 
 What You Will Need
 
 
 
 <ul>
 <li>
 Master&rsquo;s in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable.
 </li>
 <li>
 5-7 years of experience in data science or a related field, preferably within the on-demand services or technology industry.
 </li>
 <li>
 Expertise in programming languages such as Python, R, or Scala, as well as proficiency with data manipulation and visualization libraries (e.g., pandas, NumPy, matplotlib, seaborn).
 </li>
 <li>
 Understanding of statistical concepts and techniques, with experience applying them to real-world problems.
 </li>
 <li>
 Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.
 </li>
 <li>
 A passion for learning and innovation, with a desire to stay ahead of the curve in the rapidly evolving field of data science and technology.
 
 
 </li>
 </ul>
 Our Data Science team currently consists of 40+ people based in India, Indonesia and Singapore who run Southeast Asia&rsquo;s leading Gojek business. We oversee all things data and work to become a thought partner for our Business Users, Product Team, and Decision Makers. It&rsquo;s our job to ensure that they have a structural approach to data-driven problem-solving. Right now, our focus revolves: how to make customers, drivers, and merchants happy and delighted. We have so far created millions of dollar impact across different journeys of customers, drivers and merchants
 
 
 We work with the Engineering, PMs and strategy functions hand-in-glove - be it constructing a new product or brainstorming on a problem like how do we reduce the wait time for the drive, how do we improve assortment, should we treat convenience seeking customer differently from value seeking customer etc
 
 
 As a team, we&rsquo;re concerned not only with the growth of the company, but each other&rsquo;s personal and professional growths, too. Along with us coming from diverse backgrounds, we often have fun sessions to talk about everything and anything from data information to our current movie list.
 
 
 
 About GoTo Group
 
 
 
 GoTo Group is the largest digital ecosystem in Indonesia with its mission to &ldquo;Empower Progress&rsquo; by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia&rsquo;s vast consumer household.
 
 
 
 About Gojek
 
 
 
 Gojek is Southeast Asia&rsquo;s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
 
 
 
 About GoTo Financial
 
 
 
 GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
 
 
 
 GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
 
 
 
</div>

Gojek - Senior Data Scientist (India)

Tiger Analytics

<div>
 
 
 Job Title : Data Scientist /Senior Data Scientist-BFS
 
 
 
 
 Location
 
 
 :
 
 Chennai, Bangalore, Hyderabad
 
 
 Skills : Data Science, Model Building, Python, Regression, Classification
 
 
 Domain : BFS
 
 
 NP :Immediate to 15 Days
 
 
 
 
 
 
 Who we are
 
 
 
 Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
 
 
 Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
 
 
 We are a Great Place to Work-Certified&trade; (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the &lsquo;Best&rsquo; and &lsquo;Fastest Growing&rsquo; analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine
 
 
 
 
 
 
 Curious about the role? What your typical day would look like?
 
 
 
 As a Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve:
 
 <ul>
 <li>
 
 Analytical Translation:
 
 Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies.
 </li>
 <li>
 
 Problem Solving:
 
 While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital.
 </li>
 <li>
 
 Client Engagement:
 
 Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities.
 </li>
 <li>
 
 Algorithmic Expertise:
 
 Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges.
 </li>
 <li>
 
 Quantitative Mastery:
 
 Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making.
 </li>
 <li>
 
 Cross-Functional Collaboration:
 
 Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life
 </li>
 </ul>
 
 
 What do we expect?
 
 
 <ul>
 <li>
 4 -10 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.
 </li>
 <li>
 
 Mandatory
 
 : Minimum 2+ years of experience in the Banking and Financial services industry
 </li>
 <li>
 Good communication skills, both verbal and written.
 </li>
 <li>
 Exhibit a fervour for crafting modular, scalable, and bug-free Python code.
 </li>
 <li>
 Comfortable in SQL with additional proficiency in office tools like Excel &amp; PowerPoint.
 </li>
 <li>
 Experience in production engineering best practices (e.g. Git versioning, Docker).
 </li>
 <li>
 Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark)
 </li>
 <li>
 Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP).
 </li>
 <li>
 Excitement to collaborate with diverse stakeholders across the organisation.
 </li>
 <li>
 In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods.
 </li>
 <li>
 Hunger to learn new technologies and embrace the change.
 </li>
 <li>
 Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations.
 </li>
 <li>
 Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role.
 </li>
 </ul>
 
 
 You are important to us, let&rsquo;s stay connected!
 
 
 
 Every individual comes with a different set of skills and qualities so even if you don&rsquo;t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
 
 
 
 
 
 
 Note:
 
 The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
 
 
 Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities
 
 
 
</div>

Data Scientist / Senior Data Scientist- BFS

Danaher Corporation

<div>
 At first glance, you&rsquo;ll see Danaher&rsquo;s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms&mdash;life sciences, diagnostics, and biotechnology.
 
 
 Look again and you&rsquo;ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You&rsquo;ll find associates who are as certain about their impact as they are about where they&rsquo;re headed next.
 
 
 You&rsquo;ll find the Danaher Business System, which makes everything possible. You&rsquo;ll also see a company that investors trust&mdash;our culture of continuous improvement has helped us outperform the S&amp;P 500 by more than 5,000% over the past 25 years.
 
 
 The Senior Supply Chain Data Scientist will join the Supply Chain AI team, reporting to Principal Supply Chain AI Scientist. This role is responsible for developing and deploying OR, ML and AI models to optimize supply chain functions across the enterprise. This role will be working remotely.
 
 
 
 In this role, you will have the opportunity to:
 
 
 
 <ul>
 <li>
 Lead the design, development, and implementation of OR/AI/ML models tailored to supply chain subject areas such as demand forecasting and sensing, inventory optimization, transportation and logistics routing, supplier risk prediction, production planning and network optimization.
 </li>
 <li>
 Develop and deploy generative AI models for supply chain use cases, fine-tuning large pre-trained LLMs, evaluating modeling performance; continuously iterate and optimize the solutions.
 </li>
 <li>
 Collaborate with cross-functionally with supply chain, engineering, IT, and business solution implementation team to align technical solutions with business needs.
 </li>
 <li>
 Partners with solution architect engineer to enable appropriate data flow/data model, development using appropriate tools/technology to ensure rapid prototyping, testing and deployment
 </li>
 <li>
 Ensure models are robust, scalable, and production ready with clear monitoring and feedback loops.
 </li>
 <li>
 Stay ahead of the curve on related emerging technologies and bring innovative approaches to supply chain optimization
 
 
 </li>
 </ul>
 
 The essential requirements of the job include:
 
 
 
 <ul>
 <li>
 PhD or Master&rsquo;s degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or a related field.
 </li>
 <li>
 5+ years of experience in applied OR/AI/ML roles, with at least 3 years focused on supply chain problems
 </li>
 <li>
 Strong expertise in optimization, regression, classification, time series, deep learning.
 </li>
 <li>
 Proficiency in programming languages such as Python, Java, Scala or similar
 </li>
 <li>
 Strong hands-on knowledge in developing/implementing Operations Research models and Machine Learning models to solve supply chain related problems
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms such as AWS, Snowflake etc.
 </li>
 <li>
 Strong communication skills to engage with technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 It would be a plus if you also possess previous experience in:
 
 
 
 <ul>
 <li>
 Knowledge of core business processes (Supply Chain, Operations) obtained by directly working in these functions is preferred.
 </li>
 <li>
 Experience with AI agent solution development
 </li>
 <li>
 Familiarity with ERP enterprise supply chain systems like Oracle, SAP
 
 
 </li>
 </ul>
 Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
 
 
 For more information, visit www.danaher.com.
</div>

Senior Data Scientist, Supply Chain

Deloitte

<div>
 
 
 Customer Strategy &amp; Insights (Data Scientist/Data Engineer)
 
 
 
 
 Location:
 
 Deloitte - Bellandur, Bengaluru (Must)
 
 
 
 Shift:
 
 US/PST Shift
 
 
 
 Experience Level:
 
 3&ndash;9 years
 
 
 
 Notice Period:
 
 Immediate to 30 days only.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking experienced and business-savvy
 
 Data Scientist/Data Engineer
 
 to join our team supporting High-tech clients. You will solve complex problems using advanced analytics, statistical modeling, and machine learning to drive measurable impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Perform exploratory data analysis and generate actionable insights.
 </li>
 <li>
 Work on classification, regression, clustering, recommendation, and forecasting models.
 </li>
 <li>
 Translate business needs into analytical frameworks and articulate insights to non-technical stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams including data engineers, business analysts and product owners.
 </li>
 <li>
 Develop and deploy machine learning models to solve real-world business challenges.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 3&ndash;9 years of hands-on experience in data science.
 </li>
 <li>
 Expertise in
 
 Python/R
 
 and ML libraries (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch)
 </li>
 <li>
 Proficiency in
 
 SQL
 
 and data wrangling
 </li>
 <li>
 Strong statistical grounding and experience with
 
 A/B testing
 
 , hypothesis testing
 </li>
 <li>
 Cloud platform experience (GCP preferred; AWS/Azure acceptable)
 </li>
 <li>
 Excellent communication, storytelling, and stakeholder engagement skills
 </li>
 <li>
 Consulting background or experience working with global clients is highly valued
 </li>
 <li>
 Good academic pedigree in quantitative disciplines (Math, Stats, CS, Engineering)
 </li>
 </ul>
 
 
 
 
 
 Additional Notes:
 
 
 <ul>
 <li>
 The first project requires working in
 
 US/PST hours
 
 from the
 
 Deloitte-Bellandur office all 5 days a week
 
 .
 </li>
 <li>
 Future projects might align to
 
 standard Indian business hours
 
 .
 </li>
 </ul>
</div>

Data Scientist

Version 1

<div>
 
 Company Description
 
 
 
 Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We&rsquo;re also an award-winning employer reflecting how employees are at the heart of Version 1.
 
 
 We&rsquo;ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023.
 
 
 As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We&rsquo;re focused on our core values; using these we&rsquo;ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.
 
 
 
 Job Description
 
 
 
 This is an exciting opportunity for a Data Scientist to deliver high-value analytics solutions for the Version 1 AI Labs. This provides a unique opportunity for people who are passionate about technology and have a deep commitment to code quality and best practices to build something special and make a real difference to our business and to our customer&rsquo;s business.
 
 
 You will have strong experience in building solutions using a variety of open-source tools and exposure to Python, Spark, NLP, Transformers and a proven track record in delivering high-quality work to tight deadlines.
 
 
 The successful candidate will work on a wide range of projects across both traditional AI techniques (e.g. machine learning, predictive modelling, and NLP) and the latest advances in multimodal large language models, including those for image, video, and text generation or understanding.
 
 
 The role will require a data scientist with excellent communication skills, that is willing to continuously learn and listen. Creative problem solving and a keen understanding of how predictive analytics can be leveraged in business processes are a must. We&rsquo;re looking for a data scientist that is inherently curious, driven, willing to learn &amp; develop, with an owning the problem and self-starter attitude.
 
 
 
 Qualifications
 
 
 
 
 Essential:
 
 
 
 <ul>
 <li>
 Excellent communication skills, including written and oral English language skills
 </li>
 <li>
 Minimum 3+ years of experience in a Data Scientist role
 </li>
 <li>
 Graduate degree in Data Science, Statistics, or another quantitative field.
 </li>
 <li>
 Solid understanding of Spark
 </li>
 <li>
 Strong foundation in statistics
 </li>
 <li>
 Solid understanding of metrics and their usage.
 </li>
 <li>
 Expert programming skills in Python and SQL and with relevant Data Science &amp; ML frameworks (Scikit-learn, Pandas, PyTorch, etc)
 </li>
 <li>
 Deep understanding of statistical and ML algorithms, methodologies and approaches, and with deep learning &amp; LLMs (Gen AI).
 </li>
 <li>
 Experience with working with either Azure/AWS Cloud Environments.
 </li>
 <li>
 Python conventions, writing clean code and testing functionality
 </li>
 <li>
 Ability to work to own initiative and without heavy oversight
 </li>
 <li>
 Must show evidence of your passion for technology and continuous learning
 
 
 </li>
 </ul>
 
 Desirable
 
 
 
 <ul>
 <li>
 Familiarity with Huggingface
 </li>
 <li>
 Familiarity with Databricks
 </li>
 <li>
 Familiarity finetuning LLM.
 </li>
 <li>
 Experience working with Azure OpenAI, AWS Bedrock.
 </li>
 <li>
 Experience working with offshore team Consultancy experience
 
 
 </li>
 </ul>
 If you are up to the challenge, tick most of the boxes above and looking to own technical oversight of a highly motivated and driven team, then get in touch - we&rsquo;d love to speak with you!
 
 
 
 Additional Information
 
 
 
 At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability.
 
 
 One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.
 
 
 We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat.
 
 
 Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.
</div>

Acunor

<div>
 
 
 Job Title:
 
 Data Scientist - Forecasting &amp; AI Strategy
 
 
 
 Location:
 
 Bangalore
 
 
 
 Experience:
 
 8-12 years
 
 
 
 Type:
 
 Full-time
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced
 
 Data Scientist
 
 with expertise in
 
 forecasting, Python, and Databricks
 
 to drive advanced analytics initiatives. This role focuses on
 
 forecasting and elasticity models
 
 to strengthen pricing, demand planning, and business optimization strategies. You will play a critical role in designing, deploying, and scaling machine learning solutions on
 
 Azure and Databricks
 
 , ensuring real-world impact and adoption.
 
 
 
 
 
 
 Key Tasks and Accountabilities
 
 
 <ul>
 <li>
 Translate complex business challenges into analytical problems and deliver actionable insights.
 </li>
 <li>
 Own the
 
 end-to-end AI/ML lifecycle
 
 &ndash; data preprocessing, feature engineering, model training, validation, deployment, and monitoring.
 </li>
 <li>
 Build and deploy
 
 forecasting models (time-series, regression, ML-based, deep learning)
 
 for demand planning, promotions, and pricing optimization.
 </li>
 <li>
 Develop reusable and modular Python code following
 
 OOP best practices
 
 .
 </li>
 <li>
 Architect and optimize workflows on
 
 Azure Databricks
 
 , ensuring scalability and automation with
 
 Airflow/MLFlow
 
 .
 </li>
 <li>
 Apply
 
 MLOps practices
 
 , including containerization (Docker) and CI/CD pipelines (GitHub).
 </li>
 <li>
 Collaborate with cross-functional teams (data engineering, product, commercial, finance) to deliver production-ready forecasting solutions.
 </li>
 <li>
 Mentor and guide mid-level/junior data scientists, fostering a culture of technical excellence.
 </li>
 <li>
 Clearly communicate technical findings and business impact to both
 
 technical and non-technical stakeholders
 
 , including leadership teams.
 </li>
 </ul>
 
 
 
 
 
 Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 B.Tech/BE/Masters in Computer Science, Data Science, AI/ML, Statistics, or related field.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 
 8&ndash;12 years of relevant experience
 
 in data science and advanced analytics.
 </li>
 <li>
 Proven track record in
 
 forecasting models
 
 (ARIMA, Prophet, regression, ML ensembles, deep learning for time-series).
 </li>
 <li>
 Strong expertise in
 
 Python (with OOP principles)
 
 and
 
 PySpark
 
 .
 </li>
 <li>
 Hands-on experience with
 
 Azure cloud, Databricks, MLFlow
 
 , and workflow orchestration (Airflow).
 </li>
 <li>
 Practical experience with
 
 MLOps and containerization tools
 
 (Docker/Kubernetes).
 </li>
 <li>
 Strong background in deploying
 
 end-to-end ML solutions into production
 
 .
 </li>
 </ul>
 
 
 
 
 
 Must Have Skills:
 
 
 <ul>
 <li>
 Forecasting &amp; Predictive Modeling (Time-series, ML-based, Deep Learning)
 </li>
 <li>
 Python, PySpark, Databricks (advanced proficiency)
 </li>
 <li>
 Azure Cloud ML Stack (MLFlow, Airflow, CI/CD, Git)
 </li>
 <li>
 Strong problem-solving and communication skills
 </li>
 </ul>
 
 
 
 
 
 Good to Have:
 
 
 <ul>
 <li>
 Exposure to
 
 Pricing and Revenue Management domains
 
 </li>
 <li>
 Product-building experience
 </li>
 <li>
 Experience working in global, cross-functional teams
 </li>
 </ul>
 
 
</div>

Explore 329+ Senior data scientist in Mangaluru this September. Find roles across top companies and apply now to boost your career.

329 senior data scientist jobs IN Mangaluru

Senior Data Scientist

Gojek - Senior Data Scientist (India)

Data Scientist / Senior Data Scientist- BFS

Senior Data Scientist, Supply Chain

Data Scientist

Data Scientist

Data Scientist